阅读说明：本技术 水平井的井眼轨迹校正方法、装置、设备和存储介质 (Borehole trajectory correction method, device, equipment and storage medium for horizontal well ) 是由 高健 王国勇 魏斌 梁治国 熊小林 白森 段志勇 刘吉 沈柏坪 曾番惠 田士伟 于 2021-04-12 设计创作，主要内容包括：本申请提供了一种水平井的井眼轨迹校正方法、装置、设备和存储介质,属于石油勘探与开发技术领域。方法包括：基于化学元素参数和笔石参数,分别确定待研究储层的岩相图和笔石图；基于岩相图和笔石图,确定第一对比图；基于笔石图和第一测井曲线,确定第二对比图；基于待研究储层的每个地层的化学元素参数,确定待研究储层的目标储层；基于第一对比图,确定目标储层的目标岩相类型和目标笔石类型；基于第二测井曲线、第二对比图、随钻曲线和随钻解释曲线,确定钻井地层的岩相类型和笔石类型；基于钻井地层的岩相类型和笔石类型与目标岩相类型和目标笔石类型的差别,调整目标井的井眼轨迹,使井眼轨迹对准目标储层,提高了待研究储层的开发效率。(The application provides a borehole trajectory correction method, a borehole trajectory correction device, borehole trajectory correction equipment and a storage medium for a horizontal well, and belongs to the technical field of petroleum exploration and development. The method comprises the following steps: respectively determining a lithofacies diagram and a lithofacies diagram of a reservoir to be researched based on the chemical element parameters and the lithofacies parameters; determining a first contrast map based on the lithofacies map and the penumbra map; determining a second contrast map based on the pencil-stone map and the first well logging curve; determining a target reservoir of the reservoir to be researched based on the chemical element parameters of each stratum of the reservoir to be researched; determining a target lithofacies type and a target penny type of the target reservoir based on the first comparison graph; determining a lithofacies type and a penny type of the drilling stratum based on the second logging curve, the second contrast map, the while-drilling curve and the while-drilling interpretation curve; based on the difference between the lithofacies type and the lithology type of the drilling stratum and the target lithofacies type and the target lithology type, the borehole trajectory of the target well is adjusted, the borehole trajectory is aligned with the target reservoir, and the development efficiency of the reservoir to be researched is improved.)

1. A method for correcting a borehole trajectory of a horizontal well, the method comprising:

acquiring chemical element parameters, penny stone parameters and a first logging curve of a reservoir to be researched;

determining a lithofacies map of the reservoir to be researched based on the chemical element parameters, wherein the lithofacies map comprises lithofacies types and stratum parameters of each position depth of the reservoir to be researched;

determining a rock map of the reservoir to be researched based on the rock parameters, wherein the rock map comprises a rock type and a rock layering parameter of each position depth of the reservoir to be researched;

determining a first contrast map based on the lithofacies map and the penny map, the first contrast map comprising a lithofacies type, a stratigraphic parameter, a penny type, and a penny layering parameter for the depth of each location;

determining a second contrast map based on the pencil-stone map and the first well log, the second contrast map comprising the pencil-stone type, pencil-stone stratification parameters and the first well log for each of the location depths;

determining a target reservoir of the reservoir to be researched based on the chemical element parameters of each stratum of the reservoir to be researched;

determining a target lithofacies type and a target pennies type for the target reservoir based on the first comparison map;

Acquiring an interpretation while drilling curve of the reservoir to be researched, wherein the interpretation while drilling curve comprises the lithofacies type, the stratum parameters, a first element logging curve and a first natural gamma curve of each position depth;

acquiring a second logging curve and a while-drilling curve of a drilling stratum where a borehole trajectory is when a target well of the reservoir to be researched is drilled, wherein the while-drilling curve comprises a second element logging curve and a second natural gamma curve;

determining a lithofacies type and a penny type of the drilling formation based on the second logging curve, the second contrast plot, the while drilling curve, and the interpretation while drilling curve;

adjusting the borehole trajectory of the target well based on the differences between the lithofacies type and the lithology type of the drilled formation and the target lithology type, such that the borehole trajectory is aligned with the target reservoir.

2. The method for correcting the borehole trajectory of the horizontal well according to claim 1, wherein the determining the lithofacies type and the pencil stone type of the drilled formation based on the second logging curve, the second contrast plot, the while-drilling curve, and the interpretation while drilling curve comprises:

For the drilling stratum in the second log curve, acquiring a type of the penny stone of the drilling stratum from the second contrast map;

for a drilling formation in the while drilling curve, obtaining a lithofacies type of the drilling formation from the interpretation while drilling curve.

3. The method of correcting the borehole trajectory of the horizontal well according to claim 1, wherein the adjusting the borehole trajectory of the target well based on the differences between the lithofacies type and the lithology type of the drilled formation and the target lithology type to align the borehole trajectory with the target reservoir comprises:

comparing the type of the rubble of the drilling stratum with the type of the target rubble, and adjusting the borehole trajectory to enable the borehole trajectory and the target reservoir to be in the same rubble layer;

and comparing the lithofacies type of the drilling stratum with the target lithofacies type, and adjusting the borehole trajectory which is in the same lithological layer with the target reservoir so that the borehole trajectory and the target reservoir are in the same lithological layer and the same stratum.

4. The method of correcting the borehole trajectory of a horizontal well according to claim 1, further comprising:

Determining a plurality of lithofacies section parameters of the target well in a horizontal section based on the chemical element parameters of the target reservoir, wherein the horizontal section is a target reservoir section to be fractured in the target reservoir aligned with the well track after the well track is adjusted;

dividing a plurality of fracturing sections with different lithofacies section parameters based on a plurality of lithofacies section parameters of the horizontal section, wherein the plurality of fracturing sections are all positioned in the horizontal section;

for each fracture zone, determining a pressure parameter of the fracture zone based on a lithofacies zone parameter of the fracture zone, the pressure parameter being used to guide the fracture zone to fracture.

5. The method of correcting the borehole trajectory of a horizontal well according to claim 4, wherein the lithofacies section parameters include a lithofacies type and a brittleness index, and the chemical element parameters include chemical element parameters of a plurality of lithofacies sections;

the determining a plurality of lithofacies section parameters of the target well in a horizontal section based on the chemical element parameters of the target reservoir comprises:

for each lithofacies segment, determining a mineral content and a brittleness index that match the chemical element parameters based on the chemical element parameters of the lithofacies segment;

based on the mineral content, determining a lithofacies type that matches the mineral content.

6. The method for correcting the borehole trajectory of the horizontal well according to claim 1, wherein the step of determining the target reservoir of the reservoir to be researched based on the chemical element parameters of each stratum of the reservoir to be researched comprises the following steps:

for each formation, determining a brittleness index and an organic matter abundance index which are matched with the chemical element parameters of the formation based on the chemical element parameters of the formation;

determining a reservoir type of the formation based on the brittleness index and the organic matter abundance index;

determining a target reservoir of the reservoir under study from a plurality of formations based on reservoir types of the plurality of formations.

7. The method for correcting the borehole trajectory of the horizontal well according to claim 1, wherein the chemical element parameters comprise chemical element parameters of each formation of the reservoir to be studied, and the determining the lithofacies diagram of the reservoir to be studied based on the chemical element parameters comprises:

for each formation, determining a mineral content matching a chemical element parameter of the formation based on the chemical element parameter;

determining a lithofacies type matching the mineral content based on the mineral content;

And determining a lithofacies map of the reservoir to be researched based on the lithofacies type of each stratum.

8. A borehole trajectory correction device for a horizontal well, the device comprising:

the first acquisition module is used for acquiring chemical element parameters, penny stone parameters and a first logging curve of a reservoir to be researched;

a first determination module, configured to determine a lithofacies map of the reservoir to be studied based on the chemical element parameters, the lithofacies map including lithofacies types and formation parameters for each location depth of the reservoir to be studied;

a second determination module, configured to determine a rock map of the reservoir to be studied based on the rock parameters, where the rock map includes a rock type and a rock layering parameter for each location depth of the reservoir to be studied;

a third determination module, configured to determine a first comparison map based on the lithofacies map and the stoke map, where the first comparison map includes the lithofacies type, the formation parameters, the stoke type, and the stoke layering parameters for each location depth;

a fourth determination module, configured to determine a second comparison map based on the stroke-stone map and the first well log, where the second comparison map includes the stroke-stone type, stroke-stone stratification parameters, and the first well log for each position depth;

The fifth determination module is used for determining a target reservoir of the reservoir to be researched based on the chemical element parameters of each stratum of the reservoir to be researched;

a sixth determination module for determining a target lithofacies type and a target pennies type for the target reservoir based on the first comparison map;

the second acquisition module is used for acquiring an interpretation while drilling curve of the reservoir to be researched, wherein the interpretation while drilling curve comprises the lithofacies type, the stratum parameters, a first element logging curve and a first natural gamma curve of each position depth;

the third acquisition module is used for acquiring a second logging curve and a while-drilling curve of a drilling stratum where a borehole trajectory is when a target well of the reservoir to be researched drills, wherein the while-drilling curve comprises a second element logging curve and a second natural gamma curve;

a seventh determination module to determine a lithofacies type and a pencil stone type of the drilled formation based on the second logging curve, the second contrast plot, the while drilling curve, and the interpretation while drilling curve;

an adjustment module to adjust a wellbore trajectory of the target well to align the wellbore trajectory with the target reservoir based on a difference between a lithofacies type and a lithology type of the drilled formation and the target lithology type.

9. A computer device comprising one or more processors and one or more memories having stored therein at least one instruction that is loaded and executed by the one or more processors to perform the operations performed by the method of horizontal well trajectory correction according to any of claims 1 to 7.

10. A computer readable storage medium having stored therein at least one instruction, which is loaded and executed by a processor to perform the operations performed by the method of horizontal well trajectory correction according to any of claims 1 to 7.

Technical Field

The application relates to the technical field of petroleum exploration and development, in particular to a method, a device, equipment and a storage medium for correcting a borehole trajectory of a horizontal well.

Background

Shale gas is unconventional natural gas stored in shale reservoirs; when shale gas is developed, the drilling work of a horizontal well of a shale reservoir is guided mainly through a geological comprehensive evaluation technology, so that the shale gas-rich target reservoir in the shale reservoir can be drilled according to a preset well track during drilling. Because the borehole trajectory of the horizontal well during drilling has an error with the target reservoir, the borehole trajectory of the horizontal well needs to be corrected.

In the related technology, after drilling is completed, the borehole trajectory of the horizontal well is measured by means of geological analysis and chemical analysis, geophysical logging and the like, and then the borehole trajectory of the horizontal well is adjusted based on the error between the borehole trajectory of the horizontal well and a target reservoir.

The geological analysis and test, geophysical logging and other means for evaluating the shale reservoir are basically carried out after drilling is completed, so that the evaluation while drilling in the horizontal well drilling process cannot be realized, namely the well track of the horizontal well cannot be adjusted in the drilling process, the drilling rate of the well track and a target reservoir during drilling cannot be guaranteed, the well track in the drilling process needs to be adjusted greatly in the later period, the construction of drilling operation is influenced, and the development efficiency of shale gas is low.

Disclosure of Invention

The embodiment of the application provides a borehole trajectory correction method and device for a horizontal well, and the development efficiency of shale gas can be improved. The technical scheme is as follows:

in one aspect, a borehole trajectory correction method for a horizontal well is provided, the method comprising:

acquiring chemical element parameters, penny stone parameters and a first logging curve of a reservoir to be researched;

determining a lithofacies map of the reservoir to be researched based on the chemical element parameters, wherein the lithofacies map comprises lithofacies types and stratum parameters of each position depth of the reservoir to be researched;

determining a rock map of the reservoir to be researched based on the rock parameters, wherein the rock map comprises a rock type and a rock layering parameter of each position depth of the reservoir to be researched;

determining a first contrast map based on the lithofacies map and the penny map, the first contrast map comprising a lithofacies type, a stratigraphic parameter, a penny type, and a penny layering parameter for the depth of each location;

determining a second contrast map based on the pencil-stone map and the first well log, the second contrast map comprising the pencil-stone type, pencil-stone stratification parameters and the first well log for each of the location depths;

Determining a target reservoir of the reservoir to be researched based on the chemical element parameters of each stratum of the reservoir to be researched;

determining a target lithofacies type and a target pennies type for the target reservoir based on the first comparison map;

acquiring an interpretation while drilling curve of the reservoir to be researched, wherein the interpretation while drilling curve comprises the lithofacies type, the stratum parameters, a first element logging curve and a first natural gamma curve of each position depth;

acquiring a second logging curve and a while-drilling curve of a drilling stratum where a borehole trajectory is when a target well of the reservoir to be researched is drilled, wherein the while-drilling curve comprises a second element logging curve and a second natural gamma curve;

determining a lithofacies type and a penny type of the drilling formation based on the second logging curve, the second contrast plot, the while drilling curve, and the interpretation while drilling curve;

adjusting the borehole trajectory of the target well based on the differences between the lithofacies type and the lithology type of the drilled formation and the target lithology type, such that the borehole trajectory is aligned with the target reservoir.

In one possible implementation, the determining a lithofacies type and a pencil stone type of the drilled formation based on the second logging curve, the second contrast map, the while drilling curve, and the interpretation while drilling curve includes:

For the drilling stratum in the second log curve, acquiring a type of the penny stone of the drilling stratum from the second contrast map;

for a drilling formation in the while drilling curve, obtaining a lithofacies type of the drilling formation from the interpretation while drilling curve.

In one possible implementation, the adjusting the borehole trajectory of the target well based on the differences between the lithofacies type and the lithology type of the drilled formation and the target lithology type to align the borehole trajectory with the target reservoir includes:

comparing the type of the rubble of the drilling stratum with the type of the target rubble, and adjusting the borehole trajectory to enable the borehole trajectory and the target reservoir to be in the same rubble layer;

and comparing the lithofacies type of the drilling stratum with the target lithofacies type, and adjusting the borehole trajectory which is in the same lithological layer with the target reservoir so that the borehole trajectory and the target reservoir are in the same lithological layer and the same stratum.

In one possible implementation, the method further includes:

determining a plurality of lithofacies section parameters of the target well in a horizontal section based on the chemical element parameters of the target reservoir, wherein the horizontal section is a target reservoir section to be fractured in the target reservoir aligned with the well track after the well track is adjusted;

Dividing a plurality of fracturing sections with different lithofacies section parameters based on a plurality of lithofacies section parameters of the horizontal section, wherein the plurality of fracturing sections are all positioned in the horizontal section;

for each fracture zone, determining a pressure parameter of the fracture zone based on a lithofacies zone parameter of the fracture zone, the pressure parameter being used to guide the fracture zone to fracture.

In one possible implementation, the lithofacies segment parameters include lithofacies types and brittleness indices, and the chemical element parameters include chemical element parameters of a plurality of lithofacies segments;

the determining a plurality of lithofacies section parameters of the target well in a horizontal section based on the chemical element parameters of the target reservoir comprises:

for each lithofacies segment, determining a mineral content and a brittleness index that match the chemical element parameters based on the chemical element parameters of the lithofacies segment;

based on the mineral content, determining a lithofacies type that matches the mineral content.

In one possible implementation, the determining a target reservoir of the reservoir to be studied based on the chemical element parameters of each stratum of the reservoir to be studied includes:

for each formation, determining a brittleness index and an organic matter abundance index which are matched with the chemical element parameters of the formation based on the chemical element parameters of the formation;

Determining a reservoir type of the formation based on the brittleness index and the organic matter abundance index;

determining a target reservoir of the reservoir under study from a plurality of formations based on reservoir types of the plurality of formations.

In one possible implementation, the chemical element parameters include chemical element parameters of each formation of the reservoir to be studied, and the determining the lithofacies map of the reservoir to be studied based on the chemical element parameters includes:

for each formation, determining a mineral content matching a chemical element parameter of the formation based on the chemical element parameter;

determining a lithofacies type matching the mineral content based on the mineral content;

and determining a lithofacies map of the reservoir to be researched based on the lithofacies type of each stratum.

In another aspect, there is provided a borehole trajectory correction device for a horizontal well, the device comprising:

the first acquisition module is used for acquiring chemical element parameters, penny stone parameters and a first logging curve of a reservoir to be researched;

a first determination module, configured to determine a lithofacies map of the reservoir to be studied based on the chemical element parameters, the lithofacies map including lithofacies types and formation parameters for each location depth of the reservoir to be studied;

A second determination module, configured to determine a rock map of the reservoir to be studied based on the rock parameters, where the rock map includes a rock type and a rock layering parameter for each location depth of the reservoir to be studied;

a third determination module, configured to determine a first comparison map based on the lithofacies map and the stoke map, where the first comparison map includes the lithofacies type, the formation parameters, the stoke type, and the stoke layering parameters for each location depth;

a fourth determination module, configured to determine a second comparison map based on the stroke-stone map and the first well log, where the second comparison map includes the stroke-stone type, stroke-stone stratification parameters, and the first well log for each position depth;

the fifth determination module is used for determining a target reservoir of the reservoir to be researched based on the chemical element parameters of each stratum of the reservoir to be researched;

a sixth determination module for determining a target lithofacies type and a target pennies type for the target reservoir based on the first comparison map;

the second acquisition module is used for acquiring an interpretation while drilling curve of the reservoir to be researched, wherein the interpretation while drilling curve comprises the lithofacies type, the stratum parameters, a first element logging curve and a first natural gamma curve of each position depth;

The third acquisition module is used for acquiring a second logging curve and a while-drilling curve of a drilling stratum where a borehole trajectory is when a target well of the reservoir to be researched drills, wherein the while-drilling curve comprises a second element logging curve and a second natural gamma curve;

a seventh determination module to determine a lithofacies type and a pencil stone type of the drilled formation based on the second logging curve, the second contrast plot, the while drilling curve, and the interpretation while drilling curve;

an adjustment module to adjust a wellbore trajectory of the target well to align the wellbore trajectory with the target reservoir based on a difference between a lithofacies type and a lithology type of the drilled formation and the target lithology type.

In one possible implementation manner, the seventh determining module includes:

a first obtaining unit, configured to obtain, for a drilling formation in the second log, a type of a stone of the drilling formation from the second contrast map;

and the second acquisition unit is used for acquiring the lithofacies type of the drilling stratum from the interpretation while drilling curve for the drilling stratum in the while drilling curve.

In one possible implementation manner, the adjusting module includes:

The first adjusting unit is used for comparing the type of the rubble of the drilling stratum with the target rubble type and adjusting the borehole trajectory to enable the borehole trajectory and the target reservoir to be in the same rubble layer;

and the second adjusting unit is used for comparing the lithofacies type of the drilling stratum with the target lithofacies type, and adjusting the borehole trajectory which is in the same lithology layer with the target reservoir so as to enable the borehole trajectory and the target reservoir to be in the same lithology layer and the same stratum.

In one possible implementation, the apparatus further includes:

the eighth determining module is used for determining a plurality of lithofacies section parameters of the target well in a horizontal section based on the chemical element parameters of the target reservoir, wherein the horizontal section is a target reservoir section to be fractured in the target reservoir aligned with the well track after the well track is adjusted;

the dividing module is used for dividing a plurality of fracturing sections with different lithofacies section parameters on the basis of a plurality of lithofacies section parameters of the horizontal section, and the plurality of fracturing sections are all positioned in the horizontal section;

and the ninth determining module is used for determining the pressure parameter of the fracturing section based on the lithofacies section parameter of the fracturing section for each fracturing section, and the pressure parameter is used for guiding the fracturing section to perform fracturing.

In one possible implementation, the lithofacies segment parameters include lithofacies types and brittleness indices, and the chemical element parameters include chemical element parameters of a plurality of lithofacies segments; the eighth determining module includes:

a first determination unit, which is used for determining the mineral content and the brittleness index matched with the chemical element parameters based on the chemical element parameters of the lithofacies sections for each lithofacies section;

and the second determination unit is used for determining the lithofacies type matched with the mineral content based on the mineral content.

In one possible implementation manner, the fifth determining module includes:

a third determination unit, which is used for determining a brittleness index and an organic matter abundance index matched with the chemical element parameters of the stratum based on the chemical element parameters of the stratum;

a fourth determination unit, configured to determine a reservoir type of the formation based on the brittleness index and the organic matter abundance index;

and the fifth determination unit is used for determining a target reservoir of the reservoir to be researched from a plurality of strata based on the reservoir types of the plurality of strata.

In one possible implementation, the chemical element parameters include chemical element parameters of each formation of the reservoir under study, and the first determining module includes:

A sixth determining unit, configured to determine, for each formation, a mineral content that matches a chemical element parameter of the formation based on the chemical element parameter;

a seventh determining unit, configured to determine a lithofacies type matching the mineral content based on the mineral content;

and the eighth determining unit is used for determining the lithofacies graph of the reservoir to be researched based on the lithofacies type of each stratum.

In another aspect, a computer apparatus is provided that includes one or more processors and one or more memories having stored therein at least one instruction that is loaded by the one or more processors and that performs an operation performed to implement the method for correcting a borehole trajectory of a horizontal well of any of the implementations described above.

In another aspect, a computer-readable storage medium is provided, in which at least one instruction is stored, and the at least one instruction is loaded by a processor and executed to implement the operations performed by the method for correcting the borehole trajectory of a horizontal well according to any one of the above-mentioned implementations.

In another aspect, a computer program product or a computer program is provided, the computer program product or the computer program comprising computer program code, the computer program code being stored in a computer readable storage medium. The processor of the computer device reads the computer program code from the computer-readable storage medium, and the processor executes the computer program code, so that the computer device performs the operations performed by the determination method for identifying a water-invaded layer described above.

The technical scheme provided by the embodiment of the application has the beneficial effects that at least:

the embodiment of the application provides a borehole trajectory correction method for a horizontal well, and as the second comparison graph determined by the method comprises the type of the rock at each position depth, the layering parameter of the rock and the first logging curve, the type of the rock and the drilling stratum can be determined based on the second logging curve of the borehole trajectory in the drilling stratum and the second comparison graph when a target well is drilled. Because the interpretation curve while drilling comprises the lithofacies type, the stratum parameters, the first element logging curve and the first natural gamma curve of each position depth, the lithofacies type of the drilling stratum can be determined based on the second element logging curve and the second natural gamma curve of the drilling stratum, and further, the borehole trajectory during drilling of the target reservoir can be adjusted in time based on the difference between the lithofacies type and the lithoid type of the drilling stratum and the target lithofacies type and the target lithoid type of the target reservoir, so that the borehole trajectory is aligned to the target reservoir, the drilling rate of the borehole trajectory and the target reservoir in the drilling process can be ensured, and the development efficiency of the reservoir to be researched is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a flowchart of a borehole trajectory correction method for a horizontal well according to an embodiment of the present disclosure;

FIG. 2 is a diagram of a lithofacies division criterion provided by an embodiment of the present application;

FIG. 3 is another lithofacies division standard provided by an embodiment of the present application;

FIG. 4 is a first comparative illustration provided by an embodiment of the present application;

FIG. 5 is a second comparative graph provided by an embodiment of the present application;

FIG. 6 is an explanatory while drilling curve provided by an embodiment of the present application;

FIG. 7 is a comprehensive mineral and element map provided in an embodiment of the present application;

FIG. 8 is a diagram of mineral composition provided in an embodiment of the present application;

FIG. 9 is a graph of an element distribution provided by an embodiment of the present application;

FIG. 10 is a schematic illustration of a wellbore trajectory provided by an embodiment of the present application;

FIG. 11 is a schematic view of another wellbore trajectory provided by embodiments of the present application;

FIG. 12 is a schematic illustration of a staged fracturing provided by an embodiment of the present application;

FIG. 13 is a graph of a pressure parameter provided by an embodiment of the present application;

FIG. 14 is a schematic illustration of a staged fracturing provided by an embodiment of the present application;

FIG. 15 is a schematic view of a borehole trajectory correction device for a horizontal well according to an embodiment of the present disclosure;

fig. 16 is a block diagram of a computer device provided in an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

The embodiment of the application provides a borehole trajectory correction method for a horizontal well, and with reference to fig. 1, the method comprises the following steps:

step 101: the computer device obtains chemical element parameters, pencil stone parameters and a first well log of a reservoir to be researched.

Wherein, the reservoir to be researched is a shale gas reservoir; for example, the reservoir to be studied is a shale gas reservoir in the roman creek group in the weyote region.

The rock parameter is a fossil parameter of a rock animal obtained through a core experiment of a key well of a reservoir to be researched, a core sample in the core experiment is obtained through coring operation of the key well, and the key well is a gas well which completes drilling work on the reservoir to be researched and has well data such as complete core parameter, logging parameter and logging parameter. The pencil stone parameters comprise pencil stone parameters of each position depth, taking a shale gas reservoir in the Longmaxi group in the West region as an example, the pencil stone parameters of different position depths comprise Kudzuvine spiral pencil stone, Saishi acutangular pencil stone, spiral trumpet pencil stone, triangular semi-rake pencil stone, curved back crown pencil stone, bursal pencil stone, pointed-pointed pencil stone and the like.

Wherein, the chemical element parameters are the parameters of the chemical elements obtained by the element logging technology when the key well is drilled. The chemical element parameters comprise the chemical element parameters of each position depth and each stratum, and the chemical element parameters comprise the contents of various elements such as sulfur S, aluminum Al, magnesium Mg, calcium Ca and the like. The element logging technology is that after rock generated by drilling at each position depth in the drilling process is discharged to the ground, the rock is analyzed by an XRF (X-ray fluorescence spectroscopy) technology to obtain chemical element parameters of each position depth and each stratum.

The first logging curve is obtained through a logging technology when a key well is drilled, the first logging curve comprises a plurality of logging curves of each position depth, and the plurality of logging curves comprise at least one of a natural gamma GR curve, a uranium-free gamma KHT curve, a resistivity RT curve, a neutron CNL curve, a density DEN curve and an element logging curve.

Step 102: the computer device determines a lithofacies map of the reservoir to be investigated based on the chemical element parameters.

Wherein the lithofacies map includes lithofacies types and formation parameters for each location depth of the reservoir to be investigated. The stratum parameters comprise stratum parameters of depth of each position, a Longmaxi shale gas reservoir in the Wenquan region is used as a reservoir to be researched, and the stratum parameters sequentially comprise a Longyi 1-4 upper layer, a Longyi 1-4 lower layer, a Longyi 1-3 layer, a Longyi 1-2 layer, a Longyi 1-1 upper layer, a Wufeng limestone layer and a Wufeng shale layer from top to bottom.

This step can be realized by the following steps (1) to (3):

(1) the computer device determines, for each formation, a mineral content that matches the chemical element parameter based on the chemical element parameter of the formation.

The computer equipment determines a compound parameter of the stratum based on the chemical element parameter of the stratum, and determines the mineral content matched with the compound parameter through target relation data based on the compound parameter of the stratum; wherein the target relationship data is used to represent a relationship between the compound parameter and the mineral content.

The minerals mainly comprise at least one of dolomite, calcite, quartz, clay and other minerals; different minerals may be determined by different chemical element parameters. The computer device determining a compound parameter of the formation based on the chemical element parameter of the formation, the determining a mineral content matching the compound parameter from the target relationship data based on the compound parameter of the formation comprising:

for each mineral, determining a target chemical element parameter from the chemical element parameters of the formation, determining a target compound parameter matching the target chemical element parameter based on the target chemical element parameter, and determining a mineral content matching the target compound parameter through target relationship data based on the target compound parameter. The target chemical element parameter may be the content of one chemical element or the content of a plurality of chemical elements, and the target compound parameter may be the content of one compound or the content of a plurality of compounds.

In the examples of the present application, minerals including dolomite, calcite, quartz, clay and others are exemplified. The target relationship data comprises first relationship data representing a target compound parameter and dolomite, second relationship data representing a target compound parameter and calcite, third relationship data representing a target compound parameter and quartz, fourth relationship data representing a target compound parameter and clay, and fifth relationship data representing a target compound parameter and other minerals.

Wherein, in the case that the mineral includes dolomite, the target chemical element parameter is magnesium Mg, and the content of the target compound magnesium oxide MgO is obtained based on the sum of the content of the magnesium Mg and the content of oxygen matched with the content of the magnesium in the target chemical element parameter.

The first relationship data may be the following formula one:

the formula I is as follows: w_Dolomite＝184W_MgO/40

Wherein, W_DolomiteIs the content of dolomite, W_MgO184 is the content of MgO in magnesium oxide, CaMg (CO)₃)₂40 is the relative molecular mass of magnesium oxide.

Wherein, in case the mineral comprises calcite, the target chemical element parameters are magnesium Mg and calcium Ca, the computer device obtains the content of the target compound magnesium oxide MgO based on the sum of the content of magnesium Mg and the content of oxygen matching the content of magnesium of the target chemical element parameters, and the computer device obtains the content of the target compound calcium oxide CaO based on the sum of the content of calcium Ca and the content of oxygen matching the content of calcium of the target chemical element parameters.

The second relationship data may be the following equation two:

the formula II is as follows: w_Calcite＝100(W_CaO-56W_MgO/40)/56

Wherein, W_CalciteContent of calcite, W_CaOThe content of CaO is 100 is calcium carbonate CaCO₃56 is the relative molecular mass of calcium oxide CaO and 40 is the relative molecular mass of magnesium oxide MgO.

Wherein, in case that the mineral includes quartz, the target chemical element parameters are aluminum Al and silicon Si, and the computer device obtains the target compound silicon dioxide SiO based on the sum of the content of the target chemical element silicon Si and the content of oxygen matched with the content of silicon₂Based on the sum of the content of the target chemical element aluminum Al and the content of oxygen matched with the content of aluminum, the computer equipment obtains the target compound aluminum oxide Al₂O₃The content of (a).

The third correlation data may be the following formula three:

the formula III is as follows:

wherein, W_QuartzIs the content of quartz, including terrestrial quartz and biological silicon;is carbon dioxide SiO₂The content of (a) in (b),is alumina Al₂O₃Content of (a), k₁SiO in clay mineral in ancient world under Sichuan basin in Weiyuan region₂The proportioning coefficient is obtained by calculating the content of the X-ray diffraction clay, and the value is 1.60-1.70 by means of illite content correction.

Wherein, in case the minerals include quartz, calcite, dolomite and clay, the fourth relational data may be the following formula four:

the formula four is as follows: w_Clay＝[100％-(W_Quartz+W_Calcite+W_Dolomite)]×k₂

Wherein, W_ClayIs the content of clay, W_QuartzIs the content of quartz, W_CalciteContent of calcite, W_DolomiteIs the content of dolomite. k is a radical of ₂The method is characterized in that the clay mineral content of a Longmaxi shale gas reservoir in the Wenyuan region accounts for the proportion of the sum of clay minerals and feldspar minerals, the average value is 0.8, and the average value is calculated according to the actual measurement XRD (diffraction of X-rays) data of a core sample at the same level of a key well or the local region. The process for determining the contents of quartz, calcite and dolomite is the same as the process for determining the contents of quartz, calcite and dolomite in the above steps, and is not described in detail herein.

The reservoir to be researched contains a small amount of pyrite, feldspar minerals and other minerals besides the main minerals such as quartz, clay, calcite and dolomite.

Wherein, in case the minerals include quartz, calcite, dolomite, clay and other minerals, the fifth relational data may be the following formula five:

the formula five is as follows: w_Others＝100％-(W_Quartz+W_Calcite+W_Dolomite+W_Clay)

Wherein, W_OthersThe content of other minerals such as pyrite and feldspar minerals, W_ClayIs the content of clay, W_QuartzIs the content of quartz, W_CalciteContent of calcite, W_DolomiteIs the content of dolomite. The process for determining the contents of quartz, calcite, dolomite and clay is the same as the process for determining the contents of quartz, calcite, dolomite and clay in the steps, and the detailed description is omitted.

(2) The computer device determines a lithofacies type that matches the mineral content based on the mineral content.

And the computer equipment determines the lithofacies type matched with the mineral content through the lithofacies division standard graph based on the mineral content.

Referring to fig. 2, fig. 2 is a lithofacies division standard graph, and the computer device corresponds the contents of quartz, dolomite and clay in the stratum to the lithofacies division standard graph, so that the lithofacies type matched with the mineral content in the stratum can be determined. Wherein, the main component of the dolomite is carbonate, and the content of the carbonate in the lithofacies division standard chart represents the content of the dolomite.

Referring to fig. 3, fig. 3 is a lithofacies division standard diagram of a ramcreek shale gas reservoir in the wegener region.

The stratum is divided into five types of lithofacies based on different mineral contents, namely calcareous shale, siliceous shale, argillaceous shale, high-calcium mixed shale and low-calcium mixed shale.

Wherein, the quartz content in the siliceous shale is more than 50 percent, the clay content in the argillaceous shale is more than 50 percent, the carbonate content in the calcareous shale is more than 50 percent, the carbonate content of the high-calcium mixed shale is more than 33 percent, and the carbonate content of the low-calcium mixed shale is less than 33 percent.

Continuing with the example of the longmaxi shale gas reservoir in the weyolong region, the computer device determines lithofacies types matching the mineral content based on the mineral content of each formation in the shale reservoir via the lithofacies division standard chart of fig. 3.

Wherein, the upper strata of Longyi 1-4 of the Wenquan region have lithofacies type of low calcium mixed shale; the lower lithofacies of Longyi 1-4 layers are high-calcium mixed shale; the lithofacies types of the Longyi 1-3 layers are low-calcium mixed shale; the lithofacies type of the Longyi 1-2 layers is siliceous shale; 1-1 upper strata of Longyi petrographic high-calcium mixed shale; the lithofacies type of the lower layer of Longyi 1-1 is siliceous shale; the Wufeng group limestone is calcareous shale; the quincunx shale layer is siliceous shale.

In one possible implementation, the computer device obtains, for each formation, lithology for each formation from core data for key wells of the reservoir under study.

Continuing with the example of shale gas reservoir in the roman creek group in the wegener region, the roman creek group belongs to the lower system of the reservoir system in the stratum system, the lithology of the upper part and the middle part of the roman creek group is giant-thick-layer dark gray and gray black shale, and the lithology of the lower part of the roman creek group is thick-layer gray shale, gray black siliceous shale and shale. The Wufeng group belongs to the upper system of Ordovician in a stratum system, lithology is mainly black shale, the lower part of the Wufeng group is sandwiched with argillaceous siltstone and rich in chalkboard fossils, a thin black gray mesochite is developed at the top of the Wufeng group, the Wufeng group is a stratum contrast marking layer of the Wufeng group, and the upper part of the Wufeng group can be determined to be a Longmaxi group stratum by the marking layer; the lower part of the pentapeak group is gray black siliceous shale. By obtaining the lithology of each stratum, a reservoir to be researched can be more finely explained.

(3) The computer device determines a lithofacies map for the reservoir under study based on the lithofacies type of each formation.

Wherein the lithofacies map includes lithofacies types and formation parameters for each location depth of the reservoir to be investigated.

And sequentially marking the lithofacies type of each stratum on the same graph by the computer equipment, wherein the graph comprises the lithofacies type of each stratum and each position depth, and the lithofacies graph of the reservoir to be researched is obtained.

Step 103: the computer device determines a stroke-stone map of the reservoir to be studied based on the stroke-stone parameters.

The stroke-stone graph comprises stroke-stone types and stroke-stone layering parameters of each position depth of a reservoir to be researched.

Wherein the stroke stone parameters comprise stroke stone parameters of each depth and each stroke stone layer. Taking the shale gas reservoir in the romanxi group in the weyoto as an example, the penny stone parameters comprise at least one of the spiral penny stone, the saybolt acupuncturing stone, the spiral trumpet penny stone, the triangular half rake penny stone, the back curved crown penny stone, the shaft capsule penny stone, the pointed xiaojian penny stone and the like.

The computer equipment divides depth sections with the same penny and stone parameters into the same penny and stone layering, and continues to take the Longmaxi shale gas reservoir in the Wenquan region as an example, and the penny and stone layering parameters are sequentially divided from top to bottom: LM9 bottom boundary, LM8 bottom boundary, LM7 bottom boundary, LM6 bottom boundary, LM5 bottom boundary, LM4 bottom boundary, LM1-3 bottom boundary, and kwan-yin bridge bottom boundary.

Wherein, the pencil stone with the occurrence of the spiral pencil stone is layered into an LM9 bottom boundary, and the position depth of the pencil stone is recorded; the pen stone with the Saishi pen stone is layered into an LM8 bottom boundary, and the position depth of the pen stone is recorded; the pencil stones of the spiral trumpet pencil stone are layered into an LM7 bottom boundary, and the position depth of the pencil stones is recorded; the pencil stones with the triangular half-rake pencil stones are layered into an LM6 bottom boundary, and the position depth of the pencil stones is recorded; the pencil stones with the curved back crown pencil stones are layered into an LM5 bottom boundary, and the position depth of the pencil stones is recorded; the pencil stones of the shaft capsule pencil stone are layered to be an LM4 bottom boundary, and the position depth of the pencil stone is recorded; the pencil stones with the sharp-pointed Chinese zodiac pencil stones are layered into an LM1-3 bottom boundary, and the position depth of the pencil stones is recorded; and (5) layering the chalks with the mesochites to form the bottom boundary of the kwan-yin bridge, and recording the position depth of the kwan-yin bridge.

The computer equipment marks the stroke stone type of each stroke stone layer on the same graph based on the position depth of the stroke stone type, and the graph comprises stroke stone layer parameters and stroke stone types of each position depth, namely, a stroke stone graph of a reservoir to be researched is obtained.

Step 104: the computer device determines a first contrast map based on the lithofacies map and the penumbra.

Wherein the first contrast map comprises a lithofacies type, a stratigraphic parameter, a pencil stone type and a pencil stone layering parameter for each position depth.

And respectively marking the lithofacies type, the stratum parameter, the pencil stone type and the pencil stone layering parameter of each position depth on the same graph to obtain a first comparison graph.

Continuing with the example of the shale gas reservoir of the roman creek group in the weyolong region, referring to fig. 4, fig. 4 is a first comparison graph of the shale gas reservoir of the roman creek group in the weyolong region, and the graph includes a lithofacies type, a formation parameter, a rubble type and a rubble layering parameter of each position depth.

Step 105: the computer device determines a second contrast map based on the pencil-stone map and the first well log.

Wherein the second contrast map comprises the type of the pencil stone, the layering parameters of the pencil stone and the well logging curve of each position depth.

And respectively marking the type of the rubble, the layering parameter of the rubble and the first logging curve of each position depth on the same graph by the computer equipment to obtain a second comparison graph.

Continuing with the example of the longmaxi shale gas reservoir in the weyolong region, see fig. 5, fig. 5 is a second comparative plot of the longmaxi shale gas reservoir in the weyolong region.

The first logging curve comprises a natural gamma GR curve, a uranium-free gamma KHT curve, a resistivity RT curve, a neutron CNL curve, a density DEN curve and an element logging curve, and the element logging curve comprises content curves of elements of calcium Ca, silicon Si and aluminum Al.

Wherein the first well log on the second contrast plot has different well log response characteristics at different rubble layer locations. For example, at the position depth of LM9 bottom bound, there is no significant change in the gamma value of the natural gamma curve, there is a maximum in the gamma value of the uranium-free gamma curve, there is a minimum in the resistivity value of the resistivity curve, there is a minimum in the neutron value of the neutron curve, there is a minimum in the density value of the density curve, and there is no significant change in the elemental log.

Step 106: the computer device determines a target reservoir for the reservoir under study based on the chemical element parameters of each formation of the reservoir under study.

Wherein the target reservoir is a reservoir rich in shale gas.

This step can be realized by the following steps (1) to (3):

(1) the computer device determines, for each formation, based on the chemical element parameters of the formation, a brittleness index and an organic matter abundance index that match the chemical element parameters.

The computer device determines, for each formation, a mineral content matching the chemical element based on the chemical element parameters of the formation, and determines a brittleness index matching the mineral content based on the mineral content. The specific process for determining the mineral content is the same as the step (1) for determining the mineral content in the step 102, and is not described herein again.

Wherein the computer device determines a brittleness index matching the mineral content by a brittleness index formula based on the mineral content.

Taking a Longmaxi shale gas reservoir in the West region as an example, according to the rock chemistry and mineral composition characteristics of the Longmaxi shale gas reservoir in the West region, siliceous minerals, calcite, dolomite and the like are classified as brittle minerals, and the brittleness index represents the crushability of the reservoir.

The brittleness index formula is:

BI＝(W_Quartz+W_calcite+W_Dolomite)/(W_Quartz+W_Calcite+W_Dolomite+W_Clay)

Wherein BI is a brittleness index, W_QuartzIs the content of quartz, W_CalciteContent of calcite, W_DolomiteIs the content of dolomite, W_ClayIs the clay content.

The computer device determines, for each formation, an organic matter content that matches the chemical element parameter based on the chemical element parameter of the formation. And the computer equipment determines the organic matter abundance index matched with the organic matter content through an organic matter abundance index formula based on the organic matter content.

Taking the Longmaxi shale gas reservoir in the Wei far region as an example, according to the research on the chemical characteristics of the rock of the Longmaxi shale gas reservoir in the Wei far region, the shale is rich in sulfur trioxide SO₃Higher levels, often associated with biological or plant development, reflect higher organic matter content and sulfur trioxide, SO ₃(except for evaporite) has good correlation with organic carbon content, SO that sulfur trioxide SO can be applied₃The organic matter index is calculated and the shale reservoir evaluation is carried out. Moreover, the shale is rich in alumina Al₂O₃And the content of the organic matter is higher, which represents the clay content, so that the organic matter abundance index is lower. Thus, it is possible to pass sulfur trioxide SO₃And alumina Al₂O₃The content of (a) establishes an organic matter abundance index.

The organic matter abundance index formula is as follows:

wherein OI is the abundance index of organic matter,is a tri-oxide of oxygenThe content of the sulfur is controlled by the content of sulfur,is the content of alumina.

Wherein the sulfur trioxide (SO) is obtained based on the sum of the sulfur (S) content in the chemical element and the oxygen content matched with the sulfur content₃The content of (a). Based on the sum of the content of aluminum Al in the chemical elements and the content of oxygen matched with the content of aluminum, obtaining aluminum oxide Al₂O₃The content of (a).

(2) The computer device determines a reservoir type of the formation based on the brittleness index and the organic matter abundance index.

The computer device is provided with a plurality of reservoir types in advance, and an index range comprising a brittleness index and an organic matter abundance index of each reservoir type; therefore, the step can be as follows: the computer device determines a first index range in which the brittleness index is based on the brittleness index, and determines a second index range in which the organic matter abundance index is based on the organic matter abundance index. And determining the reservoir type corresponding to the first index range and the second index range from the corresponding relation between the index range and the reservoir type according to the first index range and the second index range.

Taking a rambesine shale gas reservoir in a remote area as an example, referring to table 1, table 1 is a shale reservoir evaluation standard established by the area based on chemical element parameters, and the shale reservoir evaluation standard comprises a plurality of reservoir types, and index ranges of brittleness index and organic matter abundance index of each reservoir type, and the shale reservoir evaluation standard is established by comprehensively analyzing well logging interpretation conclusion and gas test result of a plurality of wells such as a Sichuan basin in the remote area by referring to research result data of the Sichuan basin in the remote area. And dividing the reservoir classes into three classes according to the brittleness index and the organic matter abundance index, wherein the class I is a good reservoir, the class II is a medium reservoir, and the class III is a poor reservoir.

TABLE 1

Reservoir type	Brittleness Index (BI)	Organic abundance index (OI)
			Ⅰ	＞0.60	＞0.40
Ⅱ	0.60～0.50	0.40～0.25
			Ⅲ	＜0.50	＜0.25

Continuing to take the example of the rampart shale gas reservoir in the far west region as an example, see table 2, where table 2 is a table of brittleness index and organic matter abundance index of each stratum of the rampart shale gas reservoir in the far west region.

TABLE 2

(3) The computer device determines a target reservoir for a reservoir under study from a plurality of formations based on a reservoir type of the plurality of formations.

The computer equipment determines the stratum with the good reservoir type from the plurality of strata based on the reservoir types of the plurality of strata, and determines the stratum with the best reservoir type from the stratum with the good reservoir type as a target reservoir based on the brittleness index and the organic matter index.

Taking a shale gas reservoir in a Longmaxi group in a Weekremote area as an example, with continuing reference to Table 2, reservoir types of shale layers in Longyi 1-4 upper layers, Longyi 1-4 lower layers, Longyi 1-3 layers, Longyi 1-2 layers and Wufeng group shale layers are all II types, reservoir types of a Wufeng group limestone layer are III types, and reservoir types of the Longyi 1-1 upper layers and the Longyi 1-1 lower layers are I types; the type I reservoir stratum is a good reservoir stratum, and the stratum with the best reservoir stratum type is determined as a target reservoir stratum from the upper layer of Longi 1-1 and the lower layer of Longi 1-1. As the brittleness index and the organic matter index of the lower layer of the Longyi 1-1 are respectively larger than the brittleness index and the organic matter index of the upper layer of the Longyi 1-1, the lower layer of the Longyi 1-1 has good compressibility and high organic matter content, and therefore the lower layer of the Longyi 1-1 is determined to be the target reservoir stratum.

With continued reference to fig. 4, the first contrast plot also includes an intersection of an ESC (elemental capture) log and an elemental log, the measured elements including Si and Ca, with the ESC log and the elemental log having substantially the same measured Si and Ca content, see fig. 4; for example, the content of silicon Si is high at the lower layer 1-1 of the target reservoir layer Longi, and the content of calcium Ca is low at the lower layer 1-1 of the target reservoir layer Longi, which indicates that the accuracy of the chemical element parameters measured according to the element logging curve is high.

With continued reference to fig. 4, the first comparison graph further includes a neutron CNL curve, a density DEN curve, and an acoustic AC curve, and the formation density value at the position depth corresponding to the target reservoir longyi 1-1 lower layer is low, and the pore value is large, which indicates that the gas content is good, and meets the characteristics of the target reservoir.

With continued reference to fig. 4, the first contrast map also includes intersection curves of natural gamma and uranium-free gamma; the intersecting width of the shale position depth position is large, the intersecting width of the limestone position depth position is small, the upper lithofacies type of general limestone is siliceous shale and is consistent with a target reservoir stratum, the lower layer of Longyi 1-1 is further determined to be the target reservoir stratum through the intersecting curve, and the accuracy of the lithofacies type determined based on the chemical element parameters is high.

Step 107: the computer device determines a target lithofacies type and a target penny type for the target reservoir based on the first comparison graph.

The computer equipment determines the position depth of the target reservoir, determines the lithofacies type and the pencil stone type corresponding to the position depth from the first comparison graph, and determines the lithofacies type and the pencil stone type corresponding to the position depth as the target lithofacies type and the target pencil stone type of the target reservoir.

Continuing to take the example of shale gas reservoirs in the roman creek group in the weyolong region, the target reservoir is a longyi 1-1 lower layer, and referring to fig. 4, the computer device determines the position depth of the longyi 1-1 lower layer from the first comparison graph in fig. 4, and then determines the target facies type corresponding to the position depth from the first comparison graph as siliceous shale and the target pencil stone type as sharpening penny.

In the embodiment of the application, the lithofacies type, the stratum parameter, the pencil stone type and the pencil stone layering parameter of each position depth of the reservoir to be researched are collected into the first comparison map by determining the first comparison map, so that after the target reservoir is determined, the lithofacies type and the pencil stone type of the target reservoir can be rapidly and directly obtained from the first comparison map, time and labor are saved, and the efficiency of determining the target lithofacies type and the target pencil stone type is improved.

Step 108: and the computer equipment acquires an explanation while drilling curve of the reservoir to be researched.

Wherein the interpretation while drilling curve comprises a lithofacies type, a formation parameter, a first element logging curve and a first natural gamma curve for each location depth. The first element logging curve is obtained by the element logging technology in the key well drilling process of the reservoir to be researched, and the first natural gamma curve is obtained by the logging technology in the key well drilling process of the reservoir to be researched.

Continuing with the example of the shale gas reservoir of the roman creek group in the weyolong region, referring to fig. 6, the first element log includes the intersection of the elements sulfur S-Fe, Al-Si, Mg-Ca, and P-Mn. The first element log curve and the first natural gamma curve of different formations have different log response characteristics.

Wherein, the lithofacies type of the upper layer of Longyi 1-4 is low-calcium mixed shale, the lithology is gray black shale, and the logging response characteristics of the corresponding first element logging curve and the first natural gamma curve have no obvious change. The lithofacies types of the lower layers of Longyi 1-4 are high-calcium mixed shale, the lithology is gray shale, and the response characteristics of the corresponding first element well logging curves are respectively Al as a median, Si as a median, Mg as a low value, Ca as a high value and a gamma value while drilling as a low value. The lithofacies types of the Longyi 1-3 layers are low-calcium mixed shale, the lithology is black shale, and the response characteristics of the corresponding first element well logging curves are respectively that Al is a high value, Si is a medium value, Mg is a medium value, Ca is a low value and a gamma value while drilling is the medium value. The lithofacies type of the Longyi 1-2 layers is siliceous shale, the lithology is black shale, and the response characteristics of the corresponding first element well logging curves are respectively that Al is a high value, Si is a medium value, Mg and Ca are low values, and a gamma value while drilling is a low value. The lithofacies type of the upper layer of Longyi 1-1 is high-calcium mixed shale, the lithology is black cloud shale, the response characteristics of the corresponding first element logging curve are that Al and Si are low values, Mg and Ca are greatly increased, and the gamma value while drilling is extremely high. The lithofacies type of the lower layer of Longyi 1-1 is siliceous shale, the lithology is grayish black siliceous shale, and the response characteristics of the corresponding first element well logging curve are respectively Al as a median, Si as a median, Mg as a low value, Ca as a high value and a while-drilling gamma value as a low value. The lithofacies type of the five-peak group limestone is calcareous shale, the lithology is grey limestone, the response characteristics of the corresponding first element logging curve are that Al, Si and Mg are low values, Ca is high value and gamma value while drilling is extremely low value respectively.

Referring to table 3, table 3 is a table of formation characteristics of quintet-rampart formations in the sichuan area corresponding to fig. 6, including lithology, gamma-while-drilling (API) value, contents of elements aluminum Al, silicon Si, magnesium Mg, and calcium Ca, brittleness index, and reservoir type of each formation.

TABLE 3

The gamma value while drilling, the content of each element, the brittleness index and the reservoir type of each stratum can be directly obtained from the table 3, and the method is more intuitive.

Referring to fig. 7, fig. 7 is a mineral and element comprehensive diagram of a shale gas reservoir in the roman creek group in the weyote area, which includes formation parameters, mineral content curves and element logging curves for each location depth; wherein, the mineral content is obtained by a core experiment after the completion of drilling, the element logging curve is obtained by a logging technology in the drilling process, and the element logging curve is basically matched with the mineral content curve; for example, the quartz mainly comprises silicon, and the silicon content in the element logging curve is the largest at the position depth of the quartz content maximum value in the mineral content curve, which shows that the accuracy of the chemical element parameters in the element logging curve measured by the logging technology is high and is consistent with the actual situation.

Referring to fig. 8, fig. 8 is a mineral composition diagram of each stratum of the shale gas reservoir of the romanxi group in the wegener region, which is matched with fig. 7, and it can be seen from the diagram that the quartz content of the lower layer of longyi 1-1 is the highest and exceeds 50%, which conforms to the rule that the quartz content in siliceous shale is greater than 50%, and the determined target reservoir has high accuracy.

Referring to fig. 9, fig. 9 is an element distribution diagram of each stratum of a shale gas reservoir of a roman creek group in the weyowa zone, which is matched with fig. 7, and it can be seen from the diagram that the content of silicon Si element in the lower layer of longyi 1-1 is the highest and is matched with the quartz content obtained by the analysis experiment of the lower layer of longyi 1-1, which indicates that the accuracy of chemical element parameters in an element logging curve measured by a logging experiment is high and is consistent with the actual situation.

Step 109: and the computer equipment acquires a second logging curve and a while-drilling curve of a drilling stratum where the well track of the reservoir to be researched is positioned when the target well of the reservoir to be researched is drilled.

The while-drilling curve comprises a second element logging curve and a second natural gamma curve, and the second logging curve and the while-drilling curve are curves obtained in the drilling process.

The target well is a horizontal well, and the well track is drilled to a reservoir stratum to be researched according to a preset well track and is located near the target reservoir stratum.

Step 110: the computer device determines a lithofacies type and a pencil stone type of the drilled formation based on the second logging curve, the second contrast plot, the while drilling curve, and the while drilling interpretation curve.

The computer device obtains, for the well formation in the second log, a type of the penny stone of the well formation from the second contrast map.

And the second contrast map comprises the type of the penumbra, the layering parameter of the penumbra and the well logging curve of each position depth. The computer device determines a first target position depth from the first well log interpretation curve in the second contrast map, and takes the first target position depth as the position depth of the well-drilling stratum, wherein the first target position depth is the position depth with the well-logging response characteristic being the same as that of the second well-logging curve. The computer device determines a type of the pencil stone of the first target location depth from the second contrast map as a type of the pencil stone of the drilled formation based on the first target location depth.

In the embodiment of the application, the second contrast graph is determined, and the type of the rubble, the layering parameter of the rubble and the logging curve of each position depth in the reservoir to be researched are collected into the second contrast graph, so that after the second logging curve of the drilling stratum is obtained, the type of the rubble of the drilling stratum can be obtained through the second contrast graph, the phenomenon that the core experiment is performed again to determine the type of the rubble of the drilling stratum is avoided, time and labor are saved, and the efficiency of determining the type of the rubble of the drilling stratum is improved.

The computer device obtains, for a drilling formation in the while-drilling curve, a lithofacies type of the drilling formation from the interpretation-while-drilling curve.

Wherein the interpretation while drilling curve comprises a lithofacies type, a formation parameter, a first element logging curve and a first natural gamma curve for each location depth. And the computer equipment determines a second target position depth from the interpretation while drilling curve, and takes the second target position depth as the position depth of the drilling stratum, wherein the second target position depth is the position depth of the logging response characteristics of the first element logging curve and the first natural gamma curve in the interpretation while drilling curve which are respectively the same as the logging response characteristics of the second element logging curve and the second natural gamma curve in the interpretation while drilling curve. The computer device determines a lithofacies type for the second target location depth from the interpretation while drilling curve as the lithofacies type of the drilled formation based on the second target location depth.

In the embodiment of the application, the lithofacies type, the stratum parameters, the first element logging curve and the first natural gamma curve of each position depth are collected into the well drilling interpretation curve, so that after the second element logging curve and the second natural gamma curve of the well drilling stratum are obtained, the lithofacies type of the well drilling stratum can be determined through the while-drilling interpretation curve, time and labor are saved, and the efficiency of determining the lithofacies type of the well drilling stratum is improved.

Step 111: the computer device adjusts the borehole trajectory of the target well based on the difference between the lithofacies type and the pencil stone type of the drilled formation and the target lithofacies type and the target pencil stone type, such that the borehole trajectory is aligned with the target reservoir.

Wherein, the step can be realized by the following steps (1) to (2).

(1) And the computer equipment compares the type of the rubble of the drilling stratum with the type of the target rubble, and adjusts the borehole trajectory to enable the borehole trajectory and the target reservoir stratum to be in the same rubble layering.

If the rock layer where the rock type of the drilling stratum is located above the stratum where the target rock type is located, the borehole trajectory is adjusted downwards, and the borehole trajectory and the target reservoir stratum are located in the same rock layer.

If the rock layer where the rock type of the drilling stratum is located below the stratum where the target rock type is located, the borehole trajectory is adjusted upwards, and the borehole trajectory and the target reservoir layer are located in the same rock layer.

Continuing to take the example of the shale gas reservoir in the romanxi group in the weyolong region as an example, referring to fig. 10, after the well track reaches the reservoir to be researched, the well track starts to be deviated in the reservoir to be researched, enters a deviation section, and is adjusted based on the difference between the type of the penny rock and the type of the target penny rock in the drilling stratum. If the type of the rock of the drilling stratum where the well track is located is the same as that of the rock on the upper layer of the Longyi 1-4, the well track is located on the upper layer of the Longyi 1-4 above the target reservoir layer, for example, located at the point A, the well track needs to be adjusted downwards. If the type of the stone of the drilling stratum where the down-regulated well track is located is the same as that of the lower layers of Longyi 1-4, the well track is located at the lower layers of Longyi 1-4 above the target reservoir layer, for example, at the point B, the down-regulation of the well track is continued. If the type of the rock of the drilling stratum where the down-regulated well track is located is the same as that of the rock of the Longyi 1-3 layers, which indicates that the well track is located in the Longyi 1-3 layers above the target reservoir, for example, at the point C, the down-regulation of the well track is continued. If the type of the rock of the drilling stratum where the down-regulated well track is located is the same as that of the rock of the Longyi 1-2 layers, the well track is located on the Longyi 1-2 layers above the target reservoir layer, for example, located at the point D, the down-regulation of the well track is continued. If the type of the pen stone of the drilling stratum where the down-regulated well track is located is the same as that of the pen stone of the Longyi 1-1 layer, the fact that the type of the pen stone of the Longyi 1-1 layer is the target type of the pen stone means that the well track and the target reservoir layer are located in the same pen stone layer, and the fact that the types of the pen stones of the Longyi 1-1 upper layer and the Longyi 1-1 lower layer are the same means that the well track and the target reservoir layer are located in the same pen stone layer, the well track cannot be adjusted based on the type of the pen stone. Therefore, in the construction process of the deflecting section, the stratum where the well track of the target well is located can be clamped in real time according to the drilling curve of the target well, the position depth of the target reservoir is predicted, the well track is adjusted layer by layer in real time, and the drilling rate of the well track and the target reservoir can be improved.

(2) And the computer equipment compares the lithofacies type of the drilling stratum with the target lithofacies type, and adjusts the borehole trajectory which is in the same lithological layer with the target reservoir so that the borehole trajectory and the target reservoir are in the same lithological layer and the same stratum.

If the stratum where the lithofacies type of the drilling stratum is located above the stratum where the target lithofacies type is located, the borehole trajectory which is in the same rock layer with the target reservoir is adjusted downwards, and the borehole trajectory and the target reservoir are in the same rock layer and the same stratum.

If the stratum where the lithofacies type of the drilling stratum is located below the stratum where the target lithofacies type is located, the borehole trajectory of the same rock layer as the target reservoir layer is adjusted upwards, and the borehole trajectory and the target reservoir layer are located in the same rock layer and the same stratum.

Referring to fig. 11, continuing with the example of the ramcreek shale gas reservoir in the weyolong region, after the drilling formation and the target reservoir are in the same stone layer, the wellbore trajectory begins to advance in the horizontal section. And comparing the lithofacies type of the drilling stratum with the target lithofacies type by the computer equipment, and if the lithofacies type of the drilling stratum where the borehole trajectory is located is the same as the lithofacies type of the quintet limestone, indicating that the borehole trajectory is located in the quintet limestone below the target reservoir, for example, located at the point E or the point F, and then adjusting the borehole trajectory upwards. And if the lithofacies type of the drilling stratum where the borehole track after the upward adjustment is located is the same as the lithofacies type of the upper layer of the Longyi 1-1, the borehole track is downward adjusted until the lithofacies type of the drilling stratum is the same as the lithofacies type of the lower layer of the Longyi 1-1 of the target reservoir stratum. Therefore, according to the lithofacies type of the drilling stratum, the relative position of the borehole track in the reservoir can be timely and accurately judged, a reference basis is provided for adjusting the borehole track, multiple times of micro-amplitude adjustment of the borehole track is really realized, the later construction difficulty and the deformation probability caused by large amplitude adjustment after layer crossing are reduced, the drilling rate of the target reservoir is effectively improved, the success rate of drilling to the target reservoir is improved, and the smoothness of the track is also met; the drilling rate of a target reservoir is improved, and the condition that the track of a well hole is adjusted greatly in a horizontal interval is avoided, so that the well completion operation construction is influenced, and the integration of geological engineering is really realized.

The embodiment of the application provides a borehole trajectory correction method for a horizontal well, and as the second comparison graph determined by the method comprises the type of the rock at each position depth, the layering parameter of the rock and the first logging curve, the type of the rock and the drilling stratum can be determined based on the second logging curve of the borehole trajectory in the drilling stratum and the second comparison graph when a target well is drilled. Because the interpretation curve while drilling comprises the lithofacies type, the stratum parameters, the first element logging curve and the first natural gamma curve of each position depth, the lithofacies type of the drilling stratum can be determined based on the second element logging curve and the second natural gamma curve of the drilling stratum, and further, the borehole trajectory during drilling of the target reservoir can be adjusted in time based on the difference between the lithofacies type and the lithoid type of the drilling stratum and the target lithofacies type and the target lithoid type of the target reservoir, so that the borehole trajectory is aligned to the target reservoir, the drilling rate of the borehole trajectory and the target reservoir in the drilling process can be ensured, and the development efficiency of the reservoir to be researched is improved.

In the embodiment of the present application, through the steps 101-111, the wellbore trajectory can be aligned to the target reservoir; embodiments of the present application may also determine the pressure parameter of the fracture zone by the following steps 112-114.

Step 112: the computer device determines a plurality of lithofacies section parameters of the target well at the horizontal section based on the chemical element parameters of the target reservoir.

And the horizontal section is a target reservoir section to be fractured in the target reservoir aligned with the well track after the well track is adjusted. The lithofacies section parameters include a lithofacies type and a brittleness index for each lithofacies section, and the chemical element parameters include chemical element parameters for a plurality of lithofacies sections.

This step can be realized by the following steps (1) to (2):

(1) the computer device determines, for each facies segment, a mineral content and a brittleness index that matches the chemical element parameters based on the chemical element parameters of the facies segment. This step is the same as the process for determining the mineral content and friability index in step 106 and will not be described in detail here.

Referring to table 4, table 4 is a lithofacies section classification table for a target reservoir section to be fractured, including brittleness index of each lithofacies section.

TABLE 4

(2) The computer device determines a lithofacies type that matches the mineral content based on the mineral content.

The step is the same as the process of determining the lithofacies type in step 102, and is not described herein again.

Continuing with Table 4, the facies type for each facies segment is also included in Table 4.

Step 113: the computer equipment divides a plurality of fractured segments with different lithofacies segment parameters based on a plurality of lithofacies segment parameters of the horizontal segment, and the plurality of fractured segments are all located in the horizontal segment.

The computer equipment classifies lithofacies sections with the same lithofacies type and brittleness index into the same fracturing section, and referring to fig. 12, fig. 12 is a staged fracturing schematic diagram of a horizontal section, and the diagram includes a plurality of fracturing sections.

Step 114: the computer device determines, for each fracture zone, a pressure parameter for the fracture zone based on the lithofacies zone parameters of the fracture zone.

The pressure parameter is used for guiding the fracturing section to perform fracturing and is a pressure value for performing fracturing on the pressure section.

Wherein the computer device determines, for each fracture zone, a pressure parameter for the fracture zone based on the brittleness index of the fracture zone. Since the brittleness index represents the crushable property of the target reservoir, the pressure parameter of the fracture section with the low brittleness index has a large value, and the pressure parameter of the fracture section with the high brittleness index has a small value.

Referring to fig. 13, fig. 13 is a graph of pressure parameters of a target reservoir corresponding to table 4, wherein the lithofacies types of the 1 st and 2 nd lithofacies sections are E and F, respectively, the brittleness index is lower than 29%, the lithofacies types of the 6 th and 7 th lithofacies sections are J and K, respectively, and the brittleness index is 51-69%. Since the brittleness index of the 1 st and 2 nd facies segments is lower than the brittleness index of the 6 th and 7 th facies segments, which represents the crushability of the target reservoir, the pressure parameter of the 1 st and 2 nd facies segments is higher than the pressure parameter of the 6 th and 7 th facies segments.

Continuing to take the example of the shale gas reservoir in the romanxi group in the weyolong region as an example, see fig. 15, and fig. 15 is a staged fracturing comprehensive diagram of a horizontal section to be fractured in the lower layer of the longi 1-1 target reservoir, which comprises a natural gamma curve, a uranium-free gamma curve, a mineralogy composition curve, a pore structure data curve, a density curve, a brittleness index curve, a weakness index curve, a mineralogy index, a porosity index, a compressibility index, a comprehensive index and other logging curves and logging indexes of each fracturing section. From comparison in fig. 14, it can be seen that the logging curves and logging indexes of different fracturing sections are different, which indicates that the geological structures of different pressure sections are different, and because the difference of rock elastic mechanical parameters of the lithofacies sections with different lithofacies section parameters is large, the formation fracture pressure during fracturing is also large in difference, and the fracturing engineering parameter configurations are also different. In the same fracturing section, if different rock types exist, the mechanical heterogeneity of the rock is strong, an extension seam is easy to form, the effective rate of fracturing is reduced, and the fracturing effect of the whole well is directly influenced. In the construction process of the horizontal well, due to abrupt change of structure, thinning of the thickness of a high-quality reservoir and engineering reasons, the lithofacies section parameters of the horizontal section are bound to have diversity. It is necessary to perform optimal fracture segmentation on the horizontal section according to the rock section parameters.

In this application embodiment, treat the horizontal segment of fracturing through the chemical element parameter and divide, obtain a plurality of fracturing sections that pressure parameter is different, when instructing the horizontal segment of treating fracturing to carry out staged fracturing based on this pressure parameter like this, realized the pertinence fracturing to every fracturing section, and then can improve the efficiency of fracturing construction, do benefit to and form three-dimensional crack network structure after the fracturing to improve single well gas output.

In the embodiment of the application, the chemical element parameters are used for determining the target reservoir, adjusting the borehole trajectory and determining the pressure parameters during fracturing, so that the geological knowledge of the chemical element parameters is tightly combined with engineering practice, the effective fusion of shale gas development technologies such as geology, drilling and fracturing is realized, a technical system integrating the optimization of the target reservoir, the adjustment of the borehole trajectory and the fracturing optimization design is formed, and the development effect of the shale gas is comprehensively improved.

By the method provided by the embodiment of the application, well position deployment of the shale gas reservoir of the Longmaxi group in the West region is finished at present and 8 platforms 42 are adjusted; completing horizontal well geosteering with 27 openings, wherein the silicious shale drilling encountering rate reaches 96%; by optimizing the reservoir transformation design, the sand adding strength and the fracture complexity are improved, the sand adding strength is improved by 12.03%, the casing rate is reduced by 11.8%, 9.58 million parts of shale gas are produced in 2019 years, and the super plan is 1.08 million parts. The fracturing aging is saved for 19.46 days in 2019 compared with 2018, and the gas production is increased by 5113 ten thousand square. The method has the advantages that 3 platforms for producing 100 million natural gas daily are produced, wherein the test yield of the Wei 202H40 platform is up to 233 million squares/day, the highest daily yield of H40-3 wells is 60 million squares, the platform in the Wikipedia area and the single well test yield are the most, and the technical support is provided for the efficient development of shale gas.

In one aspect, a borehole trajectory correction device for a horizontal well is provided, referring to fig. 15, the device comprising:

the first acquisition module 1501 is used for acquiring chemical element parameters, penny stone parameters and a first logging curve of a reservoir to be researched;

a first determining module 1502 for determining a lithofacies map of the reservoir to be studied based on the chemical element parameters, the lithofacies map including lithofacies types and formation parameters for each location depth of the reservoir to be studied;

a second determination module 1503, configured to determine, based on the stroke-stone parameters, a stroke-stone map of the reservoir to be studied, where the stroke-stone map includes stroke-stone types and stroke-stone layering parameters for each position depth of the reservoir to be studied;

a third determining module 1504, configured to determine a first contrast map based on the lithofacies map and the stoke map, where the first contrast map includes the lithofacies type, the formation parameters, the stoke type, and the stoke layering parameters for each position depth;

a fourth determination module 1505 for determining a second comparison map based on the stroke-stone map and the first well log, the second comparison map comprising stroke-stone type, stroke-stone stratification parameters and the first well log for each position depth;

a fifth determining module 1506, configured to determine a target reservoir of the reservoir to be studied based on the chemical element parameters of each formation of the reservoir to be studied;

A sixth determining module 1507, configured to determine a target lithofacies type and a target lithoid type of the target reservoir based on the first comparison map;

a second obtaining module 1508, configured to obtain an interpretation while drilling curve of the reservoir to be studied, where the interpretation while drilling curve includes a lithofacies type, a formation parameter, a first element logging curve, and a first natural gamma curve for each position depth;

a third obtaining module 1509, configured to obtain a second logging curve and a while-drilling curve of a drilling stratum where a wellbore trajectory is located when a target well of a reservoir to be studied is drilled, where the while-drilling curve includes a second element logging curve and a second natural gamma curve;

a seventh determining module 1510, configured to determine a lithofacies type and a pencil stone type of the drilled formation based on the second logging curve, the second contrast graph, the while drilling curve, and the while drilling interpretation curve;

and an adjusting module 1511, configured to adjust a borehole trajectory of the target well based on a difference between the lithofacies type and the lithology type of the drilled formation and the target lithofacies type and the target lithology type, so that the borehole trajectory is aligned with the target reservoir.

In one possible implementation, the seventh determining module 1510 includes:

the first obtaining unit is used for obtaining the type of the penny stone of the drilling stratum from the second comparison graph for the drilling stratum in the second logging curve;

And the second acquisition unit is used for acquiring the lithofacies type of the drilling stratum from the interpretation curve while drilling for the drilling stratum in the while drilling curve.

In one possible implementation, the adjusting module 1511 includes:

the first adjusting unit is used for comparing the type of the rubble of the drilling stratum with the type of the target rubble and adjusting the borehole trajectory to enable the borehole trajectory and the target reservoir stratum to be in the same rubble layer;

and the second adjusting unit is used for comparing the lithofacies type of the drilling stratum with the target lithofacies type, adjusting the borehole track in the same rock layer with the target reservoir layer, and enabling the borehole track and the target reservoir layer to be in the same rock layer and the same stratum.

In one possible implementation, the apparatus further includes:

the eighth determining module 1512 is configured to determine, based on the chemical element parameters of the target reservoir, multiple lithofacies section parameters of the target well in a horizontal section, where the horizontal section is a target reservoir section to be fractured in the target reservoir aligned with the wellbore trajectory after the wellbore trajectory is adjusted;

the dividing module 1513 is configured to divide a plurality of fractured segments with different lithofacies segment parameters based on the plurality of lithofacies segment parameters of the horizontal segment, where the plurality of fractured segments are located in the horizontal segment;

a ninth determining module 1514 for determining, for each fracture zone, a pressure parameter for the fracture zone based on the lithofacies zone parameters of the fracture zone, the pressure parameter for directing the fracture zone to fracture.

In one possible implementation, the lithofacies segment parameters include lithofacies types and brittleness indices, and the chemical element parameters include chemical element parameters of the plurality of lithofacies segments; the eighth determining module 1512 includes:

the first determining unit is used for determining the mineral content and the brittleness index matched with the chemical element parameters based on the chemical element parameters of the lithofacies sections for each lithofacies section;

and the second determination unit is used for determining the lithofacies type matched with the mineral content based on the mineral content.

In one possible implementation, the fifth determining module 1506 includes:

the third determination unit is used for determining a brittleness index and an organic matter abundance index which are matched with the chemical element parameters based on the chemical element parameters of the stratum for each stratum;

the fourth determination unit is used for determining the reservoir type of the stratum based on the brittleness index and the organic matter abundance index;

and the fifth determination unit is used for determining a target reservoir of the reservoir to be researched from the plurality of strata based on the reservoir types of the plurality of strata.

In one possible implementation, the chemical element parameters include chemical element parameters of each formation of the reservoir to be studied, and the first determination module 1502 includes:

A sixth determining unit, configured to determine, for each formation, a mineral content that matches the chemical element parameter based on the chemical element parameter of the formation;

a seventh determining unit, configured to determine a lithofacies type matching the mineral content based on the mineral content;

and the eighth determining unit is used for determining the lithofacies diagram of the reservoir to be researched based on the lithofacies type of each stratum.

Fig. 16 shows a block diagram of a computer device 1600 provided in an exemplary embodiment of the present application. The computer device 1600 may be a portable mobile computer device such as: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4), a notebook computer, or a desktop computer. Computer device 1600 may also be referred to by other names such as user device, portable computer device, laptop computer device, desktop computer device, etc.

Generally, computer device 1600 includes: a processor 1601, and a memory 1602.

Processor 1601 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 1601 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). Processor 1601 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also referred to as a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 1601 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing content that the display screen needs to display. In some embodiments, the processor 1601 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.

Memory 1602 may include one or more computer-readable storage media, which may be non-transitory. The memory 1602 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 1602 is configured to store at least one instruction for execution by processor 1601 to implement a method of borehole trajectory correction for horizontal wells as provided by method embodiments herein.

In some embodiments, computer device 1600 may also optionally include: peripheral interface 1603 and at least one peripheral. Processor 1601, memory 1602 and peripheral interface 1603 may be connected by buses or signal lines. Various peripheral devices may be connected to peripheral interface 1603 via buses, signal lines, or circuit boards. Specifically, the peripheral device includes: at least one of a radio frequency circuit 1604, a display 1605, a camera assembly 1606, audio circuitry 1607, a positioning assembly 1608, and a power supply 1609.

Peripheral interface 1603 can be used to connect at least one I/O (Input/Output) related peripheral to processor 1601 and memory 1602. In some embodiments, processor 1601, memory 1602, and peripheral interface 1603 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 1601, the memory 1602 and the peripheral device interface 1603 may be implemented on a separate chip or circuit board, which is not limited by this embodiment.

The Radio Frequency circuit 1604 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 1604 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 1604 converts the electrical signal into an electromagnetic signal to be transmitted, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 1604 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 1604 may communicate with other computer devices via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: the world wide web, metropolitan area networks, intranets, generations of mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 1604 may also include NFC (Near Field Communication) related circuits, which are not limited in this application.

The display 1605 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 1605 is a touch display screen, the display screen 1605 also has the ability to capture touch signals on or over the surface of the display screen 1605. The touch signal may be input to the processor 1601 as a control signal for processing. At this point, the display 1605 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 1605 may be one, disposed on the front panel of the computer device 1600; in other embodiments, the display screens 1605 can be at least two, each disposed on a different surface of the computer device 1600 or in a folded design; in other embodiments, the display 1605 may be a flexible display disposed on a curved surface or on a folded surface of the computer device 1600. Even further, the display 1605 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The Display 1605 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), or other materials.

The camera assembly 1606 is used to capture images or video. Optionally, camera assembly 1606 includes a front camera and a rear camera. Generally, a front camera is disposed on a front panel of a computer apparatus, and a rear camera is disposed on a rear surface of the computer apparatus. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 1606 can also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.

The audio circuitry 1607 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 1601 for processing or inputting the electric signals to the radio frequency circuit 1604 to achieve voice communication. For stereo capture or noise reduction purposes, the microphones may be multiple and located at different locations on the computer device 1600. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 1601 or the radio frequency circuit 1604 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, the audio circuit 1607 may also include a headphone jack.

The Location component 1608 is employed to locate a current geographic Location of the computer device 1600 for purposes of navigation or LBS (Location Based Service). The Positioning component 1608 may be a Positioning component based on the Global Positioning System (GPS) in the united states, the beidou System in china, or the galileo System in russia.

Power supply 1609 is used to power the various components within computer device 1600. Power supply 1609 may be alternating current, direct current, disposable or rechargeable. When power supply 1609 includes a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, computer device 1600 also includes one or more sensors 1610. The one or more sensors 1610 include, but are not limited to: acceleration sensor 1611, gyro sensor 1612, pressure sensor 1613, fingerprint sensor 1614, optical sensor 1615, and proximity sensor 1616.

The acceleration sensor 1611 may detect acceleration magnitudes on three coordinate axes of a coordinate system established with the computer apparatus 1600. For example, the acceleration sensor 1611 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 1601 may control the display screen 1605 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 1611. The acceleration sensor 1611 may also be used for acquisition of motion data of a game or a user.

Gyroscope sensor 1612 can detect the organism direction and turned angle of computer device 1600, and gyroscope sensor 1612 can gather user's 3D action to computer device 1600 in coordination with acceleration sensor 1611. From the data collected by the gyro sensor 1612, the processor 1601 may perform the following functions: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.

The pressure sensors 1613 may be disposed on the side bezel of the computer device 1600 and/or underneath the display 1605. When the pressure sensor 1613 is disposed on the side frame of the computer device 1600, the holding signal of the user to the computer device 1600 can be detected, and the processor 1601 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 1613. When the pressure sensor 1613 is disposed at the lower layer of the display 1605, the processor 1601 controls the operability control on the UI interface according to the pressure operation of the user on the display 1605. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.

The fingerprint sensor 1614 is configured to collect a fingerprint of the user, and the processor 1601 is configured to identify the user based on the fingerprint collected by the fingerprint sensor 1614, or the fingerprint sensor 1614 is configured to identify the user based on the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, the processor 1601 authorizes the user to perform relevant sensitive operations including unlocking a screen, viewing encrypted information, downloading software, paying for and changing settings, etc. Fingerprint sensor 1614 may be disposed on the front, back, or side of computer device 1600. When a physical button or vendor Logo is provided on the computer device 1600, the fingerprint sensor 1614 may be integrated with the physical button or vendor Logo.

The optical sensor 1615 is used to collect ambient light intensity. In one embodiment, the processor 1601 may control the display brightness of the display screen 1605 based on the ambient light intensity collected by the optical sensor 1615. Specifically, when the ambient light intensity is high, the display luminance of the display screen 1605 is increased; when the ambient light intensity is low, the display brightness of the display screen 1605 is adjusted down. In another embodiment, the processor 1601 may also dynamically adjust the shooting parameters of the camera assembly 1606 based on the ambient light intensity collected by the optical sensor 1615.

A proximity sensor 1616, also known as a distance sensor, is typically disposed on the front panel of the computer device 1600. The proximity sensor 1616 is used to capture the distance between the user and the front of the computer device 1600. In one embodiment, the display 1605 is controlled by the processor 1601 to switch from a bright screen state to a dark screen state when the proximity sensor 1616 detects that the distance between the user and the front surface of the computer device 1600 is gradually decreasing; when the proximity sensor 1616 detects that the distance between the user and the front surface of the computer device 1600 is gradually increasing, the display 1605 is controlled by the processor 1601 to switch from a breath screen state to a bright screen state.

Those skilled in the art will appreciate that the configuration shown in FIG. 16 is not intended to be limiting of computer device 1600, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be employed.

In another aspect, a computer-readable storage medium is provided, in which at least one instruction is stored, and the at least one instruction is loaded by a processor and executed to implement the operations performed by the method for correcting the borehole trajectory of a horizontal well according to any one of the above-mentioned implementations.

In another aspect, a computer program product or a computer program is provided, the computer program product or the computer program comprising computer program code, the computer program code being stored in a computer readable storage medium. The processor of the computer device reads the computer program code from the computer-readable storage medium, and the processor executes the computer program code, so that the computer device performs the operations performed by the determination method for identifying a water-invaded layer described above.

In some embodiments, the computer program according to the embodiments of the present application may be deployed to be executed on one computer device or on multiple computer devices located at one site, or may be executed on multiple computer devices distributed at multiple sites and interconnected by a communication network, and the multiple computer devices distributed at the multiple sites and interconnected by the communication network may constitute a block chain system.

The embodiment of the application provides a borehole trajectory correction method for a horizontal well, and as the second comparison graph determined by the method comprises the type of the rock at each position depth, the layering parameter of the rock and the first logging curve, the type of the rock and the drilling stratum can be determined based on the second logging curve of the borehole trajectory in the drilling stratum and the second comparison graph when a target well is drilled. Because the interpretation curve while drilling comprises the lithofacies type, the stratum parameters, the first element logging curve and the first natural gamma curve of each position depth, the lithofacies type of the drilling stratum can be determined based on the second element logging curve and the second natural gamma curve of the drilling stratum, and further, the borehole trajectory during drilling of the target reservoir can be adjusted in time based on the difference between the lithofacies type and the lithoid type of the drilling stratum and the target lithofacies type and the target lithoid type of the target reservoir, so that the borehole trajectory is aligned to the target reservoir, the drilling rate of the borehole trajectory and the target reservoir in the drilling process can be ensured, and the development efficiency of the reservoir to be researched is improved.

The above description is only exemplary of the present application and should not be taken as limiting, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.