阅读说明：本技术 基于高精度层序格架模型的井震协同划分沉积微相的方法 (Method for collaborative partitioning sedimentary microfacies by well-seismic based on high-precision sequence grid model ) 是由 何文渊 孙平 于 2020-10-29 设计创作，主要内容包括：本发明公开了基于高精度层序格架模型的井震协同划分沉积微相的方法,该方法基于高精度层序地层搁架下地层岩性组合、沉积体旋回特征的地震响应特征,建立井-震沉积相特征的匹配关系,优选对地层沉积相类型敏感的地震属性,通过井震协同模拟,建立研究目的层沉积亚相、微相的三维数据体。并通过相序规律验证沉积相三维数据体的可靠性及准确性,最终得到适合工业标准的沉积相划分成果。本发明得到的沉积微相的三维数据体,能够大幅度提高沉积相划分的工作效率,且横向和纵向分辨率都较高,沉积微相精细划分成果确定性和可靠性更强。(The invention discloses a method for collaboratively dividing sedimentary microfacies by well earthquake based on a high-precision sequence grid model, which is characterized by establishing a matching relation of well-earthquake sedimentary facies characteristics based on earthquake response characteristics of stratum lithology combination and sedimentary body convolution characteristics under a high-precision sequence stratum shelf, preferably selecting earthquake attributes sensitive to stratum sedimentary facies types, and establishing a three-dimensional data body for researching the sedimentary subphase and microfacies of a target layer through well earthquake collaborative simulation. And verifying the reliability and accuracy of the sedimentary facies three-dimensional data volume through a phase sequence rule, and finally obtaining a sedimentary facies division result suitable for an industrial standard. The three-dimensional data volume of the sedimentary microfacies obtained by the invention can greatly improve the working efficiency of sedimentary facies division, has higher transverse and longitudinal resolutions, and has stronger determinacy and reliability of the fine sedimentary microfacies division result.)

1. The method for the collaborative division of sedimentary microfacies by the well earthquake based on the high-precision sequence grid model is characterized by comprising the following steps:

the method comprises the following steps: according to the seismic response characteristics of lithological combination and the cycle characteristics of a sedimentary body, firstly dividing the well into different subphase units;

step two: quantifying a subphase unit, then simulating sensitive seismic attribute characteristic indication, and predicting the spread characteristic of a subphase band;

step three: quantifying the sedimentary microfacies, and performing well-seismic cooperation simulation by applying sensitive seismic attribute characteristic indication to obtain a spatial distribution combination diagram of the sedimentary microfacies;

step four: and finally, carrying out collaborative simulation on the microphase prediction result under the control of the subphase phase zone to obtain the three-dimensional prediction of the sedimentary microphase according with the geological rule.

2. The method for collaborative partitioning depositional microphases based on the well-seismic of the high-precision sequence lattice model is characterized in that the step one further comprises the following steps: and combining geological features and well drilling and logging features of the research area, and dividing the single-well sedimentary subphase and the microphase.

3. The method for collaborative partitioning depositional microfacies based on the well-seismic of the high-precision sequence grid model is characterized in that the quantification process of the sub-phase units in the second step specifically comprises the following steps: and according to the division of the sedimentary subphase, digitizing the single-well sedimentary subphase according to the phase sequence characteristics.

4. The method for collaborative division of sedimentary microfacies by well-seisms based on the high-precision sequence grid model is characterized in that sensitive seismic attribute feature indication is applied in the third step, well-seism collaborative simulation is performed, and the process of obtaining a spatial distribution combination diagram of sedimentary microfacies comprises the following steps:

s201, performing high-precision horizon interpretation on a research area, and establishing a high-precision sequence stratigraphic framework;

s202, according to the principles of similarity of seismic waveforms, similarity of lithologic combined structures and similarity of sedimentary facies characteristics, searching a well similar to a waveform of a point to be predicted at any position in a high-precision sequence stratigraphic framework;

s203, analyzing lithological combination characteristics of well point positions according to the wells with similar waveforms of the points to be predicted obtained in the step 202, searching for a common structure of a sedimentary microfacies curve, and estimating sedimentary microfacies of the points to be predicted;

s204, traversing all points to be predicted on the three-dimensional data volume to obtain the three-dimensional data volume of the sedimentary microfacies, predicting the plane distribution of the sedimentary microfacies, and obtaining a spatial distribution combination diagram of the sedimentary microfacies, namely the plane distribution characteristics of the sedimentary microfacies.

5. The method for collaborative partitioning depositional microfacies based on the well-seismic of the high-precision sequence grid model is characterized in that the quantitative process of the depositional microfacies in the third step comprises the following steps: each sedimentary microphase is defined according to the phase sequence characteristics and the sandstone content characteristics, and the sedimentary microphase units are digitized.

6. The method for collaborative partitioning depositional microfacies based on the well-seismic of the high-precision sequence lattice model is characterized in that the simulation of the sensitive seismic attribute feature indication in the second step is to predict the spread characteristics of the subphase bands and comprises the following steps: and (3) performing three-dimensional space prediction on the deposition subphase based on the acquisition principle of the planar distribution characteristics of the deposition microphase to obtain a deposition subphase distribution three-dimensional data volume, and predicting the planar distribution of the deposition subphase, namely the distribution characteristics of a subphase band.

7. The method for collaborative partitioning sedimentary microfacies of the well earthquake based on the high-precision sequence grid model is characterized in that the collaborative simulation process of the fourth step and the microfacies prediction result under the control of the subphase band specifically comprises the following steps: and fusing the distribution characteristics of the sedimentary subphase and the distribution characteristics of the sedimentary microfacies, further depicting the longitudinal distribution of the sedimentary microfacies in the high-precision sequence stratigraphic framework by taking the three-dimensional spatial distribution of the sedimentary subphase as low frequency and the spatial distribution of the sedimentary microfacies as high frequency, and obtaining the three-dimensional prediction of the sedimentary microfacies according with the geological rule.

Technical Field

The invention relates to the technical field of oil and gas exploration, in particular to a method for cooperatively partitioning sedimentary microfacies by well earthquake based on a high-precision sequence grid model.

Background

Well log data and seismic data are important criteria for facies of depositional compartmentalization. The drilling and logging data can better reflect the characteristics of lithology combination, pore permeability, oil and gas containing property and the like of the stratum on the well point track through logging, logging and core sampling. The data has extremely high precision, can reflect the characteristics of centimeter-level rock layers and oil-gas layers at most, and can represent the sedimentary facies sequence combination of the strata and the longitudinal change of sedimentary subphases and microphases. However, such highly accurate longitudinal sedimentary phase change information has poor lateral contrast and cannot well reveal interwell formation and sedimentary phase zone changes. The seismic data are three-dimensional spatial data, seismic wave reflection signals obtained by acquiring and processing seismic signals can reflect the spatial distribution characteristics of stratum, lithology combination and sedimentary facies by applying a proper geological and geophysical analysis method, but the longitudinal resolution of the seismic data as acoustic signals is very low and is usually only tens of meters.

In order to combine two types of data with different grades and characteristics and make up for deficiencies, the traditional well-seismic collaborative sedimentary facies division mode mainly comprises two types: the method comprises the steps of observing seismic waveform characteristics of a target interval, identifying seismic facies, summarizing the characteristics of the seismic facies, and converting the seismic facies into sedimentary facies through geological experience knowledge of drilled wells or similar sedimentary backgrounds. In the process, the identification of the seismic facies is mainly obtained through manual identification of the seismic overturn surface or calculation and analysis of a corresponding software module. But the overall efficiency is low, the definition of the seismic facies boundary is difficult, and the reliability is not high; in addition, the accuracy of manually identifying the seismic facies is closely related to the experience and level of related researchers, the subjectivity is strong, and a stable sedimentary facies prediction result is difficult to obtain. And due to the influence of seismic data resolution and well drilling quantity and density, the microphase-level sedimentary facies analysis result is often uncertain greatly. The second way is to identify the planar spread characteristics of the sediment body by seismic attribute characteristics. Mainly extracts various seismic attributes of the target interval or performs attribute fusion. And then establishing a corresponding relation between corresponding attribute value domains and the sedimentary facies according to the plane distribution of the attributes and the dividing result of the drilling sedimentary facies, and qualitatively analyzing the possible spread of the sedimentary body. In the process, the longitudinal resolution of seismic attributes is limited, and particularly, the evolution process of the sedimentary microfacies in the longitudinal direction can only be limited within the frequency band range (dozens of meters) of seismic data, so that the sedimentary microfacies are difficult to describe clearly. In the process of well-seismic combination, the sedimentary facies sequence in the longitudinal direction of a single well is often replaced by the dominant facies, so that the identification capability of the three-dimensional data body on sedimentary facies space distribution characteristics is reduced. Therefore, the traditional well-seismic collaborative sedimentary facies division method has the defects of strong human factors, insufficient data information mining and the like, especially at the sedimentary microfacies level, the traditional method is often the dominant sedimentary facies zone set characteristic in a certain range, the uncertainty of the boundary is large, and the industrial application of the type of research result is greatly limited.

Disclosure of Invention

The invention aims to provide a well-seismic collaborative sedimentary facies microphase partitioning method based on a high-precision sequence grid model aiming at the defects of the conventional well-seismic collaborative sedimentary facies partitioning method, and the method fully utilizes the characteristics of high longitudinal resolution of a well and high transverse resolution of an earthquake. In a high-resolution sequence stratum isochronal framework, well-seismic collaborative sedimentary facies simulation is carried out on the basis of a three-dimensional seismic data body, preferably a seismic attribute body related to a sedimentary facies type, or a seismic attribute fusion body or an original seismic waveform data body and the like according to the principle that seismic attributes of the same sedimentary sub-facies and microphases have similarity, and the distribution characteristics of the sedimentary microphases in a three-dimensional space are obtained. The sedimentary microfacies three-dimensional data volume obtained by the method effectively combines the advantages of well drilling and seismic data and has the characteristic of higher transverse and longitudinal resolutions. The data volume is applied to partition the deposition microphase, and the method has the advantages of high efficiency, determinacy and higher reliability.

The invention is realized by the following technical scheme:

according to the characteristic that drilling logging characteristics and seismic response characteristics of different types of sedimentary microphase lithology combinations have differences, firstly, well drilling data are applied to divide a target layer into different subphase and microphase units, the subphase and microphase units are digitized, then the digitized subphase and microphase units are combined with seismic data, sensitive seismic attributes are optimized, well-seismic cooperative sedimentary subphase and microphase sensitive seismic attribute feature indication simulation is carried out, and sedimentary subphase and microphase three-dimensional data bodies are obtained. And verifying the accuracy of the data volume according to the dependency relationship and the phase sequence rule among the sedimentary subphase and the microphase to obtain the three-dimensional prediction of the sedimentary microphase according with the geological rule. The method comprises the following six steps:

the method comprises the following steps: and carrying out high-precision sequence stratigraphic division on the target interval of the research area according to the single well, the connected wells and the seismic data. And on the basis, well-seismic combination is carried out to establish a high-precision sequence stratigraphic framework of a target layer.

Step two: and under the guidance of the regional geological background and the sedimentary pattern of the research area, dividing the single-well sedimentary subphase and the microphase of each sequence in the target interval on the basis of the drilling and logging information according to the single-well high-precision sequence dividing result.

Step three: and according to the phase sequence combination characteristic, digitizing the target layer deposition microphase unit. And digitalizing the single-well sedimentary subphase of the target layer according to the division result of the single-well sedimentary facies to obtain sedimentary subphase and microphase curves. And in a high-precision sequence stratigraphic framework, integrating the division result of the digitized single-well sedimentary facies and the seismic response characteristics of corresponding sedimentary facies types, selecting sensitive seismic attributes, and simulating the sedimentary sub-facies sensitive seismic attribute characteristic indication of well-seismic cooperation.

Step four: and predicting the sedimentary facies type of the point information to be predicted in the simulation data body according to the principle that lithology combination and sedimentary facies type are similar if the seismic sensitivity attributes are similar. Firstly, searching wells with sensitivity attributes similar to those of points to be predicted, and then constructing a predicted point sedimentary subphase curve according to lithological combinations and sedimentary facies types of the well points to complete preliminary prediction of the sedimentary subphase types of the points to be predicted. According to the flow, all points to be predicted on the three-dimensional data volume are traversed to obtain the three-dimensional data volume of the sedimentary subphase. The data volume refers to the drilling sedimentary sub-phase division and the sensitivity attribute indication simulation result in the longitudinal direction, has higher resolution and is basically similar to the drilling sedimentary phase sequence; and the transverse direction follows the transverse change rule of the sediment body reflected by the seismic data. The data volume can be applied to better predict the spatial distribution characteristics of the deposition subphase.

Step five: and according to the flow and the principle of the fourth step, performing three-dimensional space prediction on the deposition microphase to obtain a deposition microphase distribution three-dimensional data volume.

Step six: and judging the accuracy and reliability of the subphase and microphase data volumes according to the subphase and microphase phase sequence relation and the combination characteristics. And performing deposition subphase and microphase three-dimensional data volume collaborative simulation. The realization mode of the cooperative simulation is that the three-dimensional spatial distribution of the subphase is defined as low frequency, and the spatial distribution of the microphase is defined as high frequency; and occlusion analysis can be carried out, and only the sedimentary facies belt types of the predicted dominant subphase and the dominant microphase are kept to highlight the dominant facies belt and obtain the sedimentary facies spatial distribution three-dimensional data volume. In addition, the space distribution of the deposition subphase and the microphase of the target interval can be finely carved in the high-precision sequence stratum lattice frame by means of the data body.

Compared with the traditional method for drawing the sedimentary facies map through artificial seismic facies recognition, the method realizes the sedimentary microfacies partitioning method through well seismic automatic collaborative simulation prediction, and has the advantages of better efficiency and more stable and reliable prediction result. Compared with the traditional method for depicting the sedimentary microfacies by applying the seismic attributes, the method has the advantages of stronger result certainty, higher precision, more reasonable prediction result and capability of improving the longitudinal and transverse resolutions. And enables spatial characterization of the dephasing.

The invention has the beneficial effects that: and in a high-precision stratum framework, a higher-resolution sedimentary subphase and microphase spatial prediction result is quickly obtained. The method has the characteristics of high prediction precision, strong accuracy, clear boundary, reliable result and prominent dominant phase-band characteristics. By applying the result, the spatial distribution characteristics of the sedimentary body can be further and rapidly displayed, and the sedimentary evolution law of the target layer section is summarized. And more reliable technical support is provided for subsequent favorable reservoir prediction and well position deployment.

Drawings

FIG. 1 is a flow chart of the method of the present invention.

FIG. 2 is a graph of the results of single Well dephasing, dephasing microphase partitioning, dephasing and dephasing microphase curve squaring for Well5 wells in a work area according to an embodiment of the present invention.

FIG. 3 is a plot of Well-connected seismic sections and depositional microphases in a high resolution stratigraphic grid according to embodiments of the present invention, Well1-Well2-Well3-Well4-Well 5.

FIG. 4 is a diagram illustrating the results of conventional depositional microfacies partitioning using seismic attributes, in accordance with embodiments of the present invention.

FIG. 5 is a graph of seismic waveform signatures for all wells of an embodiment of the present invention.

FIG. 6 is a single well seismic waveform of an embodiment of the invention.

FIG. 7 is a graph showing the comparison result of the microphase characteristics of the deposit at the point to be predicted according to the embodiment of the present invention.

FIG. 8 is a Well-connected seismic profile of a point A to be predicted, a point B, Well6 to be predicted, a Well3, and a Well5 Well in a study area according to an embodiment of the present invention.

FIG. 9 is a plot of Well-tie depositional subphases prediction for the Well to be predicted at points A, B, Well6, Well3 and Well5 in the study area according to an embodiment of the present invention.

FIG. 10 is a plot of Well-tie depositional microphase predictions for the point A to be predicted, the point B, Well6 to be predicted, the Well3, and the Well5 wells of the study area according to an embodiment of the present invention.

FIG. 11 is a plan view of the well-seismic collaborative simulation for predicting the distribution of microphase of the target layer deposition in the study area according to the embodiment of the present invention.

FIG. 12 is a plan view of the well-seismic collaborative simulation for predicting the distribution of the target layer deposition subphase in the study area according to the embodiment of the present invention.

FIG. 13 is a schematic diagram of the river course spreading law analyzed by the study area in combination with the sedimentary microphase distribution map according to the embodiment of the present invention.

Detailed Description

For a more detailed description of the objects and advantages of the invention, reference is made to the accompanying drawings that form a part hereof, and in which is shown by way of illustration a technical implementation flowchart. The seismic data in the text adopt actual exploration, development and production block examples to verify the feasibility and the effectiveness of the method. The source of the block deposition system is from north, the deposition background of the target layer is delta deposition transformed by tide, the deposited sand body thickness is thinner, most of the deposited sand body thickness is between 3 m and 10m, and the difficulty of deposition microphase division is larger by means of the traditional technical method.

In this embodiment, as shown in fig. 1, a method for collaborative division of sedimentary microfacies by well-seismic based on a high-precision sequence trellis model is provided, where according to the seismic response characteristics of lithology combinations and the convolution characteristics of sedimentary bodies, first, in a sequence shelf, a target interval is divided into different subphase and microphase units according to well data, the subphase and microphase units are digitized to obtain subphase and microphase digitized curves, then, seismic attributes sensitive to types of sedimentary facies are preferred, and in this embodiment, the preferred seismic attributes are waveform characteristics of seismic data bodies. And performing characteristic indication simulation on the seismic attributes of the type, and combining the analysis result of the drilled sedimentary facies to obtain a sub-facies and microphase three-dimensional data volume. And on the basis of a data volume, performing collaborative simulation on the microphase prediction result of the target layer under the control of the subphase, verifying to obtain the accuracy and reliability of the simulation result, and finally obtaining the three-dimensional prediction of the sedimentary microphase according with the geological rule.

1. Establishment of high-precision sequence stratum framework

The high-precision structural explanation is carried out on the target layer of the research area, the seismic reflection axis which can be identified and tracked in the earthquake, positive phase, negative phase or zero phase can be used as the tracking standard to establish a fine stratigraphic framework of the research area, the time span of the stratigraphic framework with the precision is different from 30ms to 100ms, the depth is equivalent to 50 to 200m, and the stratigraphic framework is basically equivalent to a five-level sequence unit. In the higher-order sedimentary unit, the seismic response characteristics of different lithological combinations, namely sedimentary microfacies or sedimentary subphases are different, and the reservoir structures corresponding to the same seismic response characteristics are similar. Then we can use the similarity of the seismic waveform to identify the spatial seismic facies. As shown in FIG. 3, in the formation between the Hor2 and Hor3 horizons, the Well-2 and Well-5 seismic reflection signatures including the dominant phase are: lenticular, high frequency, poor continuity, weak amplitude at the top, medium-strong amplitude at the bottom. The Well-1 Well and Well-4 Well seismic facies containing thin layer deposition of far sand dams and the like are characterized in that: the continuity is relatively good, the amplitude is medium-weak, the frequency is high, Hor1, Hor2, Hor3 and Hor4 in the graph 3 show the longitudinal range of a high-resolution stratum framework in a research area, and it is required to explain that when a horizon is not penetrated as much as possible, no stratum unconformity surface exists inside the horizon, and the lithological change rules are basically consistent. The frequency components of Well-2 mudstone, which is a coastal shallow sea, are: relatively good continuity, weak amplitude, low frequency.

2. Single well sedimentary subphase and microphase division

And under the control of a shelf, carrying out single-well sedimentary facies analysis by combining the sedimentary backgrounds of the areas, preferably logging curves sensitive to lithological combinations and sedimentary facies types, and completing the division of the single-well sedimentary sub-facies and the microphases of the target layer. By combining the sedimentary background, the drilling data and the logging curve characteristics of the research area, the main sedimentary subphases of the target layer of the research area can be determined to be the front delta front edge, the front delta and the shores, and the sedimentary microfacies can be divided into a diversion river channel, a river channel space, a far sand dam, a shores mudstone and the like. As can be seen from FIG. 2, the distinction of lithology in the longitudinal direction by AC and GR curves on a single well is not obvious, and the judgment of the deposition subphase and microphase type of the target layer needs to be carried out by combining the cycle characteristics shown by the well logging curves. Accordingly, a fine subdivision of dephase and microphase across all 10 wells in the study area was achieved.

3. Single well sedimentary subphase and microphase digitization

In order to better realize well-seismic synergistic analysis, the sedimentary subphase and the sedimentary microphase need to be digitized. And assigning different sedimentary sub-phases and micro-phases according to the lithological combination characteristics of the regional background and the prediction target interval, such as the percentage content of sandstone and other figures. Meanwhile, in order to highlight the dominant facies, in the process of assigning values to the depositional microfacies unit numbers, the dominant facies can be defined at unequal intervals by combining the reservoir development characteristics of a research area, for example, the diversion river microfacies can be defined as number 4, and the river channels can be defined as number 2. In addition, the same numerical value can be assigned to the microphase with similar sandstone distribution characteristics, for example, the characteristics of the thin-layer sandstone among riverways and the mat-shaped sandstone are basically similar and are all defined as the number 2, and the mudstone in the coastal sea is defined as the number 1. Finally, a single-well sedimentary microphase curve of each well point position is obtained, and the curve form is square-wave.

In areas with large transverse variation of the sedimentary facies belt, the subphase phase sequence characteristics need to be digitized according to the division of sedimentary subphases. In this example, the delta leading edge subphase is defined as 3, the former delta as 2, and the shore as 1, yielding a single well sedimentary subphase curve at the well point location, with the curve morphology also being squared.

4. Well-seismic cooperative depositional microphase simulation

Firstly, by analyzing the traditional method for sedimentary microfacies division by applying seismic attributes, even in a high-precision stratum framework, the spreading characteristics of sedimentary bodies cannot be rapidly represented by the fusion of single or multiple attributes, and as shown in fig. 4, the spreading of the riverway sand bodies is difficult to depict from the existing attribute diagram.

The invention provides a method for constructing a sedimentary facies type space three-dimensional data volume by optimizing the sedimentary facies type sensitive seismic attribute and well-seismic collaborative simulation in a high-precision sequence stratigraphic framework according to the principle that lithology combination and sedimentary facies type are similar when the seismic sensitive attribute is similar, and predicting sedimentary microfacies space distribution on the basis of the sedimentary facies type sensitive seismic attribute. By applying the method, wells with sensitive attributes and similar sensitive attributes to the points to be predicted are preferably selected in the sequence shelf, and then a predicted point sedimentary subphase curve is constructed according to lithological combinations and sedimentary facies types of the well points, so that the preliminary prediction of the point sedimentary subphase types to be predicted is completed. In this example, the waveform features enable better inversion of the type and combination of sedimentary facies within the layer of interest through seismic attribute optimization. And extracting seismic waveform characteristics of all wells in the layer, and performing comparative analysis on the seismic waveform characteristics and the well sedimentary microfacies curve to be used as a standard for judging the sedimentary microfacies type of the point to be predicted. As shown in fig. 5, when predicting the point a to be predicted, the seismic waveforms of all wells in the work area are extracted first, and then two wells most similar to the waveform of the point a to be predicted are preferably used as well samples of similar sedimentary facies features. Following the above principles, a query of valid well samples was made for three locations A, B, C in space, looking for wells similar to A, B, C seismic waveforms, as shown in FIG. 6. Through comparison of waveform forms, seismic waveforms of a Well2 and a Well5 in a research area are most similar to a Well A at a point to be predicted (as shown in fig. 7), namely, lithological combination characteristics of the two wells and the Well A are indirectly shown to be similar, namely, sedimentary microfacies are similar, so that sedimentary microfacies characteristic curves of the Well2 and the Well5 can be used for carrying out common structure analysis at the point A to be predicted, and sedimentary microfacies distribution rules of the point A to be predicted are obtained. According to the principle, other deposition microphase types of the points to be predicted can be preferably selected. And according to the steps, obtaining a three-dimensional spatial distribution data volume of the sedimentary microfacies through all points to be predicted in the working area, namely each grid point in the three-dimensional seismic data.

From the Well-connecting section (namely figure 8) of the point A, B to be predicted, the seismic reflection characteristic of the point B to be predicted is similar to the seismic waveform characteristic of the Well3, and is the reflection characteristic of thin-layer mat-shaped sand, so that the sedimentary facies prediction result can be shown to be the comprehensive characteristic of lithology combination and sedimentary facies type reflected by the seismic waveform, and is not drawn according to the qualitative of single waveforms such as seismic amplitude, phase, frequency and the like. From the deposit microphase simulation of the inline well profile (i.e., fig. 9) passing through the point to be predicted A, B, the predicted result is consistent with the deposit microphase characteristics at the well point position on the well, the inter-well variation follows the trend of the seismic phase variation, and the predicted result is reasonable and has high resolution in the transverse direction. From the sedimentary microphase diagram of the extracted segment of interest (as shown in fig. 11), three stripe-like shunted channels extending from the north are clearly shown, consistent with the sedimentary background of the study area. Compared with the geologic body distribution characteristic comparison reflected by seismic attributes, the sedimentary microfacies prediction result is more reasonable.

5. Well-seismic co-depositional sub-phase simulation

According to the technical scheme of the step 4, in the high-resolution sequence stratum framework, the sedimentary subphase distribution of the research area is simulated by using a single-well sedimentary subphase curve to obtain a sedimentary subphase distribution three-dimensional data body. As can be seen from the predicted cross-section of the deposition subphase in fig. 10, the distribution of the deposition subphase is substantially similar to the main characteristics of the deposition microphase, and at the position of three river channel development, it is also the position of the main development of the delta front subphase in the deposition subphase data. The rationality of the prediction result of the deposition microphase is further verified. Through statistics of the deposition subphase three-dimensional data volume, a plane distribution map of the delta subphase can be obtained, and the dominant subphase spreading characteristics of the target layer section are well reflected, as shown in fig. 12.

6. Prediction and quality control of microphase and subphase distribution of well-seismic cooperative deposition

And combining the low-frequency component of the sedimentary subphase and the high-frequency component of the sedimentary microphase by adopting a frequency combining method, and analyzing, fusing and displaying the delta subphase and the delta microphase diagram. An advantage complementation method can also be adopted, the deposition subphase distribution diagram is shielded by using the advantage phase zone in the deposition microphase diagram to obtain a comprehensive deposition microphase distribution diagram, and the distribution rule of the main river channel is drawn by combining the deposition characteristics of the embodiment, as shown in fig. 13. Compared with the prior deposition microphase dividing method, the deposition microphase boundary of the technical method is clearer.

The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.