阅读说明：本技术 孔隙型碳酸盐岩动态渗透率确定方法及装置 (Method and device for determining dynamic permeability of porous carbonate rock ) 是由 徐振永 冯明生 林腾飞 于 2021-07-09 设计创作，主要内容包括：本发明公开了一种孔隙型碳酸盐岩动态渗透率确定方法及装置,其中,该方法包括：获取研究区域的地质数据,所述地质数据包括：应用测井数据、岩心分析数据和地震数据；根据所述地质数据对储层进行岩相类型分类操作、并建立各岩相静态渗透率模型；根据地质测试数据和生产数据确定各岩相动态渗透率,并分别确定各岩相的静态渗透率与动态渗透率之间的差值；根据所述差值和所述各岩相静态渗透率确定所述研究区域的实际动态渗透率。通过本发明,确定研究区域的实际动态渗透率,从而可以得到准确动态渗透率数据体。(The invention discloses a method and a device for determining dynamic permeability of porous carbonate rock, wherein the method comprises the following steps: obtaining geological data of a region of interest, the geological data comprising: applying well log data, core analysis data and seismic data; performing lithofacies type classification operation on the reservoir according to the geological data, and establishing a static permeability model of each lithofacies; determining the dynamic permeability of each lithofacies according to the geological test data and the production data, and respectively determining the difference between the static permeability and the dynamic permeability of each lithofacies; and determining the actual dynamic permeability of the research area according to the difference and the static permeability of each lithofacies. By the method and the device, the actual dynamic permeability of the research area is determined, so that an accurate dynamic permeability data body can be obtained.)

1. A method for determining the dynamic permeability of a porous carbonate rock, the method comprising:

obtaining geological data of a region of interest, the geological data comprising: applying well log data, core analysis data and seismic data;

performing lithofacies type classification operation on the reservoir according to the geological data, and establishing a static permeability model of each lithofacies;

determining the dynamic permeability of each lithofacies according to the geological test data and the production data, and respectively determining the difference between the static permeability and the dynamic permeability of each lithofacies;

and determining the actual dynamic permeability of the research area according to the difference and the static permeability of each lithofacies.

2. The method of claim 1, wherein performing facies type classification operations on the reservoir based on the geological data and building a static permeability model for each facies comprises:

performing lithofacies type classification operation on the reservoir according to the geological data, and determining the relationship between the permeability of each lithofacies and the micro parameters of the pore structure;

and establishing a static permeability model of each rock phase according to the relation between the permeability of each rock phase and the micro-parameters of the pore structure.

3. The method of claim 1, wherein determining the dynamic permeability of each facies from the geological test data and the production data comprises:

obtaining the yield information and the production pressure difference information of each liquid production section according to the geological test data and the production data;

and determining the dynamic permeability of each rock phase according to the yield information, the production pressure difference information and the thickness information of each liquid production section.

4. The method of claim 3, wherein separately determining the difference between the static permeability and the dynamic permeability of each facies comprises:

acquiring the pore-permeability relation of each lithofacies, and determining the average static permeability of each lithofacies according to the pore-permeability relation of the lithofacies;

and determining the difference between the static permeability and the dynamic permeability of each lithofacies according to the average static permeability and the dynamic permeability of each lithofacies.

5. A pore type dynamic permeability determining apparatus for carbonate rock, the apparatus comprising:

a geological data acquisition unit for acquiring geological data of a region of interest, the geological data comprising: applying well log data, core analysis data and seismic data;

the static permeability establishing unit is used for carrying out lithofacies type classification operation on the reservoir according to the geological data and establishing the static permeability of each lithofacies;

the difference determining unit is used for determining the dynamic permeability of the lithofacies according to the geological test data and the production data, and respectively determining the difference between the static permeability and the dynamic permeability of each lithofacies;

and the actual dynamic permeability determining unit is used for determining the actual dynamic permeability of the research area according to the difference and the static permeability of each lithofacies.

6. The apparatus of claim 5, wherein the static permeability establishing unit comprises:

the static permeability and pore relation determining module is used for carrying out lithofacies type classification operation on the reservoir according to the geological data and determining the relation between the permeability of each lithofacies and the pore structure micro-parameters;

and the static permeability establishing module is used for establishing a static permeability model of each rock phase according to the relation between the permeability of each rock phase and the micro parameters of the pore structure.

7. The apparatus of claim 5, wherein the difference determination unit comprises:

the liquid production section information acquisition module is used for acquiring the yield information and the production pressure difference information of each liquid production section according to the geological test data and the production data;

and the dynamic permeability determining module of each rock phase is used for determining the dynamic permeability of each rock phase according to the yield information, the production pressure difference information and the thickness information of each liquid production section.

8. The apparatus of claim 7, wherein the difference determination unit further comprises:

the average static permeability determining module is used for acquiring the pore-permeability relation of each lithofacies type and determining the average static permeability of each lithofacies according to the pore-permeability relation of the lithofacies;

and the difference value determining module is used for determining the difference value between the static permeability and the dynamic permeability of each lithofacies according to the average static permeability and the dynamic permeability of each lithofacies.

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 4 are implemented when the processor executes the program.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 4.

Technical Field

The invention relates to the technical field of development of carbonate oil and gas fields, in particular to a method and a device for determining the dynamic permeability of pore type carbonate rock.

Background

Carbonate reservoirs can be classified into three types according to reservoir physical properties: pore type, fracture type and hypotonic reservoirs. Wherein the pore type carbonate reservoir is represented by a major reservoir (Mishrif/Sarvak) in the middle east; the fractured reservoir is represented by fractured and cavernous carbonate reservoirs in domestic and middle-Asia regions; hypotonic reservoirs generally have low permeability, typically less than 10X 10-3 μm2, and generally have a fine particle size and are distributed throughout the world. Because the carbonate reservoir structure is too complex, the dynamic permeability reflected by the three types of carbonates in oil field production is very different, and the current methods for obtaining more accurate dynamic permeability are different.

The porous carbonate reservoir is influenced by the complex pore structure and strong heterogeneity, the difference of the seepage rate with the same porosity can reach dozens to hundreds of times, and how to determine the dynamic permeability in the development and production of the oil field is always a worldwide problem. The traditional method is to apply laboratory core analysis data to fit a carbonate reservoir pore-permeability relation formula, calculate porosity on a conventional logging curve, and then calculate permeability according to the fitting formula. The method is mature in application of the clastic rock reservoir and high in reliability; but the application effect in the carbonate reservoir is poor, the fitting coincidence rate of the built permeability model digifax is low, and the requirement of the oil reservoir digifax cannot be met. Therefore, an effective scheme for solving the dynamic permeability of the carbonate reservoir of the type is urgently needed, and reliable guarantee is provided for the reservoir digifax.

Disclosure of Invention

In view of the above, the present invention provides a method and an apparatus for determining a dynamic permeability of a porous carbonate rock, so as to solve at least one of the above-mentioned problems.

According to a first aspect of the present invention, there is provided a method for determining a dynamic permeability of a porous carbonate rock, the method comprising:

obtaining geological data of a region of interest, the geological data comprising: applying well log data, core analysis data and seismic data;

performing lithofacies type classification operation on the reservoir according to the geological data, and establishing a static permeability model of each lithofacies;

determining the dynamic permeability of each lithofacies according to the geological test data and the production data, and respectively determining the difference between the static permeability and the dynamic permeability of each lithofacies;

and determining the actual dynamic permeability of the research area according to the difference and the static permeability of each lithofacies.

According to a second aspect of the present invention, there is provided a pore type carbonate rock dynamic permeability determination apparatus, the apparatus comprising:

a geological data acquisition unit for acquiring geological data of a region of interest, the geological data comprising: applying well log data, core analysis data and seismic data;

the static permeability establishing unit is used for carrying out lithofacies type classification operation on the reservoir according to the geological data and establishing the static permeability of each lithofacies;

the difference determining unit is used for determining the dynamic permeability of each lithofacies according to the geological test data and the production data, and respectively determining the difference between the static permeability and the dynamic permeability of each lithofacies;

and the actual dynamic permeability determining unit is used for determining the actual dynamic permeability of the research area according to the difference and the static permeability of each lithofacies.

According to a third aspect of the present invention, there is provided an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method when executing the program.

According to a fourth aspect of the invention, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.

According to the technical scheme, lithofacies classification operation is carried out on the reservoir according to the obtained geological data, and a lithofacies static permeability model is established; then, determining the dynamic permeability of each lithofacies according to the test data and the production data, and respectively determining the difference between the static permeability and the dynamic permeability of each lithofacies; and then determining the actual dynamic permeability of the research area according to the difference and the static permeability of each lithofacies, thereby obtaining an accurate dynamic permeability data body.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

FIG. 1 is a flow chart of a method for determining the dynamic permeability of a porous carbonate rock according to an embodiment of the invention;

FIG. 2 is a schematic diagram of the lithofacies division of an oil field individual well;

FIG. 3 is a diagram showing the relationship between pore and permeability of each rock phase in an oil field;

FIG. 4 is a schematic illustration of determining formation coefficient (KH) and dynamic permeability from Production Log (PLT) data in accordance with an embodiment of the present invention;

FIG. 5 is a flow chart of static permeability correction to dynamic permeability according to an embodiment of the present invention;

FIG. 6 is an exemplary cross-sectional view of static permeability corrected to dynamic permeability according to an embodiment of the present invention;

FIG. 7 is an exemplary plan view of static permeability corrected to dynamic permeability according to an embodiment of the present invention;

FIG. 8 is a block diagram of a configuration of a porous carbonate rock dynamic permeability determination apparatus according to an embodiment of the present invention;

fig. 9 is a schematic block diagram of a system configuration of an electronic apparatus 600 according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Because an effective scheme for solving the dynamic permeability of the porous carbonate rock oil reservoir does not exist at present, on the basis, the embodiment of the invention provides a scheme for determining the dynamic permeability of the porous carbonate rock, and the problem that the dynamic permeability of the porous carbonate rock oil reservoir is difficult to determine can be effectively solved through the scheme, so that an accurate dynamic permeability data body is obtained. The method can be widely applied to the aspects of pore type carbonate oil reservoir oil digital modeling, oil field development scheme optimization, measure preparation and the like. Embodiments of the present invention are described in detail below with reference to the accompanying drawings.

Fig. 1 is a flowchart of a method for determining a dynamic permeability of a porous carbonate rock according to an embodiment of the present invention, as shown in fig. 1, the method including:

step 101, obtaining geological data of a research area, wherein the geological data comprises: logging data, core analysis data, and seismic data are applied.

And 102, performing lithofacies type classification operation on the reservoir according to the geological data, and establishing a static permeability model of each lithofacies.

Specifically, lithofacies classification operation can be performed on the reservoir according to the geological data, and the relationship between the permeability of each lithofacies and the pore structure micro-parameters is determined; and then establishing a static permeability model of each rock phase according to the relation between the permeability of each rock phase and the micro-parameters of the pore structure.

And 103, determining the dynamic permeability of each lithofacies according to the geological test data and the production data, and respectively determining the difference between the static permeability and the dynamic permeability of each lithofacies.

In one embodiment, production information and differential pressure information for each production interval may be obtained from geological test data and production data; and then determining the dynamic permeability of each rock phase according to the yield information, the production pressure difference information and the thickness information of each liquid production section.

Then, acquiring the pore-permeability relation of each lithofacies, and determining the average static permeability of each lithofacies according to the pore-permeability relation of each lithofacies; and determining the difference between the static permeability and the dynamic permeability of each lithofacies according to the average static permeability and the dynamic permeability of each lithofacies.

And 104, determining the actual dynamic permeability of the research area according to the difference and the static permeability of each lithofacies.

Specifically, the product of the difference and the static permeability of each lithofacies may be used as the actual dynamic permeability of the investigation region.

The method comprises the steps of carrying out lithofacies type classification operation on a reservoir according to obtained geological data, establishing static permeability of each lithofacies, determining dynamic permeability of each lithofacies according to geological test data and production data, determining a difference value between the static permeability and the dynamic permeability of each lithofacies respectively, and determining actual dynamic permeability of a research area according to the difference value and the static permeability of each lithofacies, so that an accurate dynamic permeability data body can be obtained.

To further understand the examples of the present invention, the following describes specific process steps a-D for the dynamic permeability determination of porous carbonate rock:

step A: investigating regional geological data, establishing facies types with similar seepage characteristics and identification standards thereof in a partitioned research region by using coring well data, and specifically referring to the facies type partition standards of the pore type carbonate reservoir shown in the following table 1:

lithofacies type	Natural gamma (API)	Deep resistivity (omega. m)
			Granular limestone	GR<7	>20
Limestone containing lime mud particles	7<GR<11	>10
			Particulate marl	11<GR	>20
Marl containing particles	13<GR	<10

TABLE 1

Thereafter, conventional well logs (e.g., natural gamma GR, deep resistivity RT) may be applied using methods such as cluster analysis, neural networks, etc. to identify non-coring well lithofacies, as shown in fig. 2.

And B: on the basis of establishing the lithofacies types of the research area, consistent with the traditional method, by utilizing the characteristic that each lithofacies type has similar pore, throat relation and seepage characteristics, a formula of relation between permeability and porosity of each lithofacies is fitted by using numerical analysis (for example, the relation can be realized by applying rock core analysis data in an Execl table), and a static permeability model of each lithofacies type is established, wherein the pore and seepage relations of each lithofacies type of the oil field can be seen in fig. 3.

And C: the method comprises the steps of reading the yield and the production pressure difference of each liquid production section by using test data and production data (for example, PLT (plug-in polymer transfer technology) and MDT (Modular Formation dynamic test)), reversely calculating the Formation coefficient (KH) of each liquid production section by using a radial flow Darcy formula according to parameters such as crude oil viscosity, skin coefficient and wellbore diameter of a research area, and further calculating the dynamic permeability of each liquid production section by using a formula (1) according to the thickness of each liquid production section, wherein the specific reference is shown in FIG. 4.

KH＝Q*μ*ln(Re/Rw)/2π△p(1)

Wherein, K: permeability in μm²(ii) a H: the thickness of the liquid production section is m; q: yield of liquid production section in m³(ii) a μ: crude oil viscosity in mPa s; re: feed radius in m; rw: wellbore radius in m; Δ p: the production pressure difference is in mPa.

Step D: comparing the average static permeability calculated from the pore-permeability relationship of the same lithofacies (fluid production intervals) with the dynamic permeability calculated from the test data and reflecting the actual underground condition, wherein the ratio of the average static permeability to the dynamic permeability is the difference between the lithofacies static permeability and the dynamic permeability of the well, and specifically, the flow from static permeability to dynamic permeability can be referred to as the flow from static permeability correction to dynamic permeability shown in fig. 5. By analogy, the difference value of the static permeability and the dynamic permeability of different lithofacies of a plurality of test wells in the oil field range can be calculated, and then the difference value is multiplied by the static permeability calculated by logging each well in the static model, so that the dynamic permeability which accords with the actual production of the oil field is obtained.

For the non-tested well, the average difference value of all lithofacies near the well can be multiplied by the static permeability, and finally the dynamic permeability of all production wells in the oil field can be obtained. The embodiment of the invention can be applied to the oil field numerical model, has obvious effect and can solve the problem of puzzling oil reservoir engineers for many years.

An example of a dominant reservoir in an oil field is given below, in which a static permeability correction of a pore type carbonate reservoir is performed according to an embodiment of the present invention, resulting in a dynamic permeability that conforms to subsurface features. The specific process is as follows:

(1) researching regional sedimentary data, dividing single-well sedimentary microfacies in a research region, summarizing facies modes, and particularly dividing typical single-well lithofacies types can be seen in figure 2;

(2) on the basis of sedimentary microfacies research, well logging, core analysis and seismic data are fully applied to divide lithofacies of a reservoir, the relation between the permeability of each type of lithofacies and pore structure micro-parameters is analyzed, a static model for calculating the permeability of each type of lithofacies is established, and the pore and permeability relation of each type of lithofacies of an oil field can be seen in a graph 3;

(3) the dynamic permeability of each type of lithofacies is determined by combining the test data and the production data to obtain a difference value (multiplier) between the dynamic permeability and the static permeability, and further the actual dynamic permeability in accordance with the oilfield production can be determined by the product value of the multiplier and the static permeability, which can be seen in fig. 4 and 5.

The static permeability of the porous carbonate rock oil reservoir is corrected through the process, and the dynamic permeability which accords with the underground characteristics is finally obtained, the process can effectively solve the problem that the dynamic permeability of the porous carbonate rock oil reservoir of the main oil reservoir of the oil field is difficult to determine, a reliable permeability model is provided for an oil reservoir model (the static permeability and the dynamic permeability can be corrected as shown in figures 6-7), and technical guidance is provided for determining the dynamic permeability of the similar oil reservoir.

The embodiment of the invention calculates the static permeability on the basis of establishing the lithofacies types, fully applies production test data to correct the static permeability of each lithofacies type, finally obtains the dynamic permeability which accords with the underground actual of the oil reservoir, and obtains verification on the oil reservoir digifax and the production actual. The embodiment of the invention can be applied to the Irac West Guner 1 oil field in the middle east, and the lithofacies types established in small layers accord with the underground practical situation; and the reliability of the permeability model is high. The rock core calibration permeability coincidence rate is improved to 89% from the original 78%, the oil deposit digital-analog fitting coincidence degree is improved to 86% from the original 75%, and oil deposit development optimization and adjustment are successfully guided. The optimized adjustment scheme is changed from the original vertical well general injection and production into horizontal well separate layer water injection development, the number of new drilled wells is greatly reduced from 1318 to 775, the investment is reduced by 79 hundred million dollars, the accumulated oil production in the concordance period (2010 plus 2045 years) is increased by 2.2 hundred million tons, and the stable production period is expected to be prolonged by 3 years to reach 11 years. The carbonate reservoir in China oil overseas business has high specific gravity and is mostly a pore type carbonate reservoir (the reserve accounts for more than 70% of the reserve of the whole carbonate reservoir, and the yield contribution exceeds 85%), the yield of China oil and gas operation is expected to increase to 1 hundred million tons only in 2020 end of middle east, and reaches more than 2 hundred million tons in 2030, and the pore type carbonate reservoir is the main body of the middle east oil and gas yield source and has very important application value.

Based on similar inventive concepts, the embodiment of the invention also provides a pore type dynamic permeability determination device for carbonate rock, and the device can be preferably used for realizing the flow in the method embodiment.

Fig. 8 is a block diagram showing the structure of the apparatus for determining the dynamic permeability of porous carbonate rock, which, as shown in fig. 8, comprises: geological data acquisition unit 1, static permeability establishing unit 2, difference determining unit 3 and actual dynamic permeability determining unit 4, wherein:

a geological data acquisition unit 1 for acquiring geological data of a region of interest, the geological data comprising: logging data, core analysis data, and seismic data are applied.

And the static permeability establishing unit 2 is used for carrying out lithofacies type classification operation on the reservoir according to the geological data and establishing the static permeability of each lithofacies.

Specifically, the static permeability establishing unit includes: a permeability and porosity relationship determination module and a static permeability establishment module, wherein:

the permeability and pore relation determining module is used for carrying out lithofacies classification operation on the reservoir according to the geological data and determining the relation between the permeability of each lithofacies and the pore structure micro-parameters;

and the static permeability establishing module is used for establishing the static permeability of each rock phase according to the relation between the permeability of each rock phase and the micro-parameters of the pore structure.

And the difference determining unit 3 is used for determining the dynamic permeability of each lithofacies according to the geological test data and the production data, and respectively determining the difference between the static permeability and the dynamic permeability of each lithofacies.

Specifically, the difference value determination unit includes: the device comprises a liquid production section information acquisition module, a rock phase dynamic permeability determination module, an average static permeability determination module and a difference value determination module, wherein:

the liquid production section information acquisition module is used for acquiring the yield information and the production pressure difference information of each liquid production section according to the geological test data and the production data;

the dynamic permeability determining module of each lithofacies is used for determining the dynamic permeability of each lithofacies according to the yield information, the production pressure difference information and the thickness information of each liquid production section;

the average static permeability determining module is used for acquiring the pore-permeability relation of each lithofacies and determining the average static permeability of each lithofacies according to the pore-permeability relation of each lithofacies;

and the difference value determining module is used for determining the difference value between the static permeability and the dynamic permeability of each lithofacies according to the average static permeability and the dynamic permeability of each lithofacies.

And the actual dynamic permeability determining unit 4 is used for determining the actual dynamic permeability of the research area according to the difference and the static permeability of each lithofacies.

Specifically, the product of the difference and the static permeability of each lithofacies may be used as the actual dynamic permeability of the investigation region.

Performing lithofacies type classification operation on the reservoir through the static permeability establishing unit 2 according to the geological data acquired by the geological data acquiring unit 1, and establishing the static permeability of each lithofacies; then, the difference determining unit 3 determines the dynamic permeability of each lithofacies according to the geological test data and the production data, and respectively determines the difference between the static permeability and the dynamic permeability of each lithofacies; and then the actual dynamic permeability determining unit 4 can determine the actual dynamic permeability of the research area according to the difference and the static permeability of each lithofacies, so that an accurate dynamic permeability data body can be obtained.

For specific execution processes of the units and the modules, reference may be made to the description in the foregoing method embodiments, and details are not described here again.

In practical operation, the units and the modules may be combined or may be singly arranged, and the present invention is not limited thereto.

The present embodiment also provides an electronic device, which may be a desktop computer, a tablet computer, a mobile terminal, and the like, but is not limited thereto. In this embodiment, the electronic device may be implemented by referring to the above method embodiment and the embodiment of the dynamic permeability determining apparatus for porous carbonate rock, which are incorporated herein, and repeated details are not repeated.

Fig. 9 is a schematic block diagram of a system configuration of an electronic apparatus 600 according to an embodiment of the present invention. As shown in fig. 9, the electronic device 600 may include a central processor 100 and a memory 140; the memory 140 is coupled to the central processor 100. Notably, this diagram is exemplary; other types of structures may also be used in addition to or in place of the structure to implement telecommunications or other functions.

In this embodiment, the porous carbonate dynamic permeability determination function may be integrated into the central processor 100. The central processor 100 may be configured to control as follows:

step 101, obtaining geological data of a research area, wherein the geological data comprises: logging data, core analysis data, and seismic data are applied.

And 102, performing lithofacies classification operation on the reservoir according to the geological data and establishing the static permeability of each lithofacies.

And 103, determining the dynamic permeability of each lithofacies according to the geological test data and the production data, and respectively determining the difference between the static permeability and the dynamic permeability of each lithofacies.

And 104, determining the actual dynamic permeability of the research area according to the difference and the static permeability of each lithofacies.

As can be seen from the above description, in the electronic device provided in the embodiment of the present application, lithofacies type classification operation is performed on a reservoir according to acquired geological data, and static permeabilities of all lithofacies are established, then, dynamic permeabilities of all lithofacies are determined according to geological test data and production data, differences between the static permeabilities and the dynamic permeabilities of all lithofacies are respectively determined, and then, actual dynamic permeabilities of a research area can be determined according to the differences and the static permeabilities of all lithofacies, so that an accurate dynamic permeability data body can be obtained.

In another embodiment, the apparatus for determining the dynamic permeability of porous carbonate rock may be configured separately from the central processor 100, for example, the apparatus for determining the dynamic permeability of porous carbonate rock may be configured as a chip connected to the central processor 100, and the function of determining the dynamic permeability of porous carbonate rock may be realized by the control of the central processor.

As shown in fig. 9, the electronic device 600 may further include: communication module 110, input unit 120, audio processing unit 130, display 160, power supply 170. It is noted that the electronic device 600 does not necessarily include all of the components shown in FIG. 9; furthermore, the electronic device 600 may also comprise components not shown in fig. 9, which may be referred to in the prior art.

As shown in fig. 9, the central processor 100, sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, the central processor 100 receiving input and controlling the operation of the various components of the electronic device 600.

The memory 140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 100 may execute the program stored in the memory 140 to realize information storage or processing, etc.

The input unit 120 provides input to the cpu 100. The input unit 120 is, for example, a key or a touch input device. The power supply 170 is used to provide power to the electronic device 600. The display 160 is used to display an object to be displayed, such as an image or a character. The display may be, for example, an LCD display, but is not limited thereto.

The memory 140 may be a solid state memory such as Read Only Memory (ROM), Random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 140 may also be some other type of device. Memory 140 includes buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application/function storage section 142, and the application/function storage section 142 is used to store application programs and function programs or a flow for executing the operation of the electronic device 600 by the central processing unit 100.

The memory 140 may also include a data store 143, the data store 143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by the electronic device. The driver storage portion 144 of the memory 140 may include various drivers of the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging application, address book application, etc.).

The communication module 110 is a transmitter/receiver 110 that transmits and receives signals via an antenna 111. The communication module (transmitter/receiver) 110 is coupled to the central processor 100 to provide an input signal and receive an output signal, which may be the same as in the case of a conventional mobile communication terminal.

Based on different communication technologies, a plurality of communication modules 110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, may be provided in the same electronic device. The communication module (transmitter/receiver) 110 is also coupled to a speaker 131 and a microphone 132 via an audio processor 130 to provide audio output via the speaker 131 and receive audio input from the microphone 132 to implement general telecommunications functions. Audio processor 130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, an audio processor 130 is also coupled to the central processor 100, so that recording on the local can be enabled through a microphone 132, and so that sound stored on the local can be played through a speaker 131.

Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the steps of the above method for determining the dynamic permeability of porous carbonate rocks.

In conclusion, the embodiment of the invention effectively solves the problem that the dynamic permeability of the porous carbonate reservoir is difficult to determine, can obtain an accurate dynamic permeability data body, and can be widely applied to the aspects of porous carbonate reservoir oil reservoir digital modeling, oil field development scheme optimization, measure making and the like.

The preferred embodiments of the present invention have been described above with reference to the accompanying drawings. The many features and advantages of the embodiments are apparent from the detailed specification, and thus, it is intended by the appended claims to cover all such features and advantages of the embodiments which fall within the true spirit and scope thereof. Further, since numerous modifications and changes will readily occur to those skilled in the art, it is not desired to limit the embodiments of the invention to the exact construction and operation illustrated and described, and accordingly, all suitable modifications and equivalents may be resorted to, falling within the scope thereof.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.