Stratum attitude calculation method and apparatus

Abstract

A stratum attitude calculation method and apparatus, applicable to the field of oil and natural gas exploration and development. The stratum attitude calculation method comprises: step 101, acquiring a stratum strike direction, a stratum dip direction and a stratum dip angle of a rock layer sample; step 102, determining a stratum strike direction marked on a horizontal thin section obtained by cutting and grinding the rock layer sample, and determining a stratum dip angle marked on a vertical thin section obtained by cutting and grinding the rock layer sample; step 103, performing image analysis on the horizontal thin section and the vertical thin section to respectively determine a stratigraphic boundary of the horizontal thin section and a stratigraphic boundary of the vertical thin section, and respectively marking the stratigraphic boundary of the horizontal thin section and the stratigraphic boundary of the vertical thin section, to obtain a marked stratum attitude; and step 104, on the basis of the marks on the horizontal thin section and the vertical thin section, respectively comparing the stratum strike direction and the stratum dip angle with the marked stratum attitude, and calculating a real stratum strike direction, a real stratum dip direction, and a real stratum dip angle on the basis of the comparison results and the stratum dip direction. The accuracy of stratum attitude observation results can be improved, and the workload of stratum attitude observation can be reduced.

Description

Stratigraphic occurrence calculation method and device

[0001] Related Applications

[0002] This application claims priority to Chinese Patent Application No. 202410636715.X, filed May 22, 2024, and incorporates the disclosure of the aforementioned patent application as part of this application. TECHNICAL FIELD

[0003] The present disclosure relates to the field of oil and gas exploration and development, and more particularly to a stratigraphic occurrence calculation method and device. BACKGROUND

[0004] This section is intended to provide background or context to the embodiments of the present disclosure. The description herein does not constitute an admission that the information provided herein is prior art.

[0005] Accurate calculation of stratigraphic occurrence is of guiding value for determining paleocurrent direction (sedimentary reservoir distribution), analyzing oil and gas migration and preservation site, and other reservoir forming conditions, and is an important part of oil and gas exploration and research. Stratigraphic occurrence is one of the elements that oil and gas survey personnel often need to measure, and strata are layered rocks formed in different geological history periods. Layers are usually separated by obvious interfaces or sedimentary discontinuities, but the particle size, composition, fossils, color, physical properties, etc. of rock detrital particles of the same period change, resulting in interfaces that are not very obvious.

[0006] Currently, the methods for determining stratigraphic occurrence mainly include field measurement, stratigraphic dip logging, and seismic stratigraphic paleostructure recovery. Field measurement mainly relies on a geological compass, and is affected by instrument accuracy, geological structure background, and operator level. The measurement range is limited, the result accuracy is low, the error is large, and it is not suitable for some large-scale, long-distance, or difficult-to-identify stratigraphic structure scenarios. Stratigraphic dip logging is a collection of responses of various stratigraphic interfaces of underground rock layers. Stratigraphic occurrence is obtained through stratigraphic dip logging data. For well-developed stratigraphic layers, satisfactory results can be obtained, but for stratigraphic layers with strong rock heterogeneity, secondary suture lines, fractures, and developed caves, the correlation of the electrical conductivity curve is poor, resulting in poor dip angle data processing results, and it is difficult to obtain accurate stratigraphic occurrence data using the stratigraphic dip logging method. The stratigraphic interface resolution is low, the layer surface interpretation workload is large, and the accuracy is low using the seismic stratigraphic paleostructure recovery method. SUMMARY

[0007] The embodiments of the present disclosure provide a stratigraphic occurrence calculation method to improve the accuracy of stratigraphic occurrence observation results, reduce the workload of stratigraphic occurrence observation, and improve work efficiency. The method comprises:

[0008] obtaining the stratum trend, the stratum tendency and the stratum dip angle of the rock sample from the measurement of the rock sample, and the rock sample is collected from the field outcrop;

[0009] determining the stratum trend marked on the horizontal slice and the stratum dip angle marked on the vertical slice obtained by slicing the rock sample;

[0010] performing image analysis on the horizontal slice and the vertical slice, respectively determining the layer interface of the horizontal slice and the vertical slice, respectively marking the layer interface of the horizontal slice and the vertical slice, and obtaining the marked stratum occurrence;

[0011] comparing the stratum trend, the field dip angle and the marked stratum occurrence respectively according to the marks on the horizontal slice and the vertical slice, and calculating the real stratum trend, the real stratum tendency and the real stratum dip angle according to the comparison result and the stratum tendency.

[0012] The embodiment of the present disclosure further provides a stratum occurrence calculating device to improve the accuracy of the stratum occurrence observation result, reduce the workload of the stratum occurrence observation, and improve the work efficiency, and the device comprises:

[0013] a collection and measurement module configured to obtain the stratum trend, the stratum tendency and the stratum dip angle of the rock sample from the measurement of the rock sample, and the rock sample is collected from the field outcrop;

[0014] a marking module configured to determine the stratum trend marked on the horizontal slice and the stratum dip angle marked on the vertical slice obtained by slicing the rock sample;

[0015] an analysis module configured to perform image analysis on the horizontal slice and the vertical slice, respectively determine the layer interface of the horizontal slice and the vertical slice, respectively mark the layer interface of the horizontal slice and the vertical slice, and obtain the marked stratum occurrence;

[0016] a calculation module configured to compare the stratum trend, the field dip angle and the marked stratum occurrence respectively according to the marks on the horizontal slice and the vertical slice, and calculate the real stratum trend, the real stratum tendency and the real stratum dip angle according to the comparison result and the stratum tendency.

[0017] The embodiment of the present disclosure further provides a computer device comprising a memory, a processor and a computer program stored in the memory and capable of running on the processor, and the processor implements the above-mentioned stratum occurrence calculating method when executing the computer program.

[0018] The embodiment of the present disclosure further provides a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the above-mentioned stratum occurrence calculating method.

[0019] The embodiment of the present disclosure further provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to realize the stratum occurrence calculation method.

[0020] In the embodiment of the present disclosure, the stratum trend of the rock sample, the stratum tendency and the stratum dip angle measured by the rock sample are obtained, and the rock sample is collected from the field outcrop; the stratum trend marked on the horizontal slice obtained by slicing the rock sample is determined, and the stratum dip angle marked on the vertical slice obtained by slicing the rock sample is determined; the layer interface of the horizontal slice and the vertical slice is determined by image analysis, and the layer interface of the horizontal slice and the vertical slice is marked respectively to obtain the marked stratum occurrence; the stratum trend, the field dip angle and the marked stratum occurrence are compared respectively according to the marks on the horizontal slice and the vertical slice, and the real stratum trend, the real stratum tendency and the real stratum dip angle are calculated according to the comparison results and the stratum tendency. In this way, the stratum interface is more real and reliable on the basis of the field outcrop, and the sequence interface is more accurate on the slice. The centimeter-level or even millimeter-level sedimentary interface can be clearly identified, the calculated layer interface occurrence information is very close to the real state, and the stratum occurrence is calculated quickly and efficiently with high accuracy. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present disclosure, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor. In the drawings:

[0022] FIG. 1 is a flowchart of a stratum occurrence calculation method provided in the embodiment of the present disclosure;

[0023] FIG. 2 is a schematic diagram of stratum occurrence chart comparison calculation provided in the embodiment of the present disclosure;

[0024] FIG. 3 is an implementation schematic diagram of the stratum occurrence calculation method provided in the embodiment of the present disclosure;

[0025] FIG. 4 is a schematic diagram of a stratum occurrence calculation device provided in the embodiment of the present disclosure;

[0026] FIG. 5 is a structural block diagram of an electronic device provided in the embodiment of the present disclosure. DETAILED DESCRIPTION

[0027] In order to make the purposes, technical solutions and advantages of the embodiments of the present disclosure clearer, further detailed description will be made to the embodiments of the present disclosure in combination with the drawings. Herein, the illustrative embodiments of the present disclosure and the description thereof are used to explain the present disclosure but not as the limitation of the present disclosure.

[0028] The term "and / or" used herein is merely to describe an associated relationship, which means that there can be three relationships, for example, A and / or B can mean that A exists alone, A and B exist together, and B exists alone. In addition, the term "at least one" used herein means any one of multiple or any combination of at least two of multiple, for example, including at least one of A, B and C can mean including any one or more elements selected from the set consisting of A, B and C.

[0029] In the description of the present specification, "comprising", "including", "having", "containing" and the like are open-ended terms, i.e., meaning including but not limited to. The description referring to the terms "one embodiment", "one specific embodiment", "some embodiments", "for example" and the like means that the specific features, structures or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily mean the same embodiment or example. Moreover, the specific features, structures or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. The order of the steps involved in the embodiments is used to illustrate the embodiments of the present application, and the order of the steps is not limited, which can be adjusted as needed.

[0030] The embodiments of the present disclosure provide a stratum occurrence calculation method, as shown in FIG. 1, which comprises:

[0031] Step 101: obtaining the stratum trend, stratum tendency and stratum dip angle of the rock sample measured, and the rock sample is collected from the field outcrop;

[0032] Step 102: determining the stratum trend marked on the horizontal thin section obtained by grinding the rock sample, and determining the stratum dip angle marked on the vertical thin section obtained by grinding the rock sample;

[0033] Step 103: performing image analysis on the horizontal thin section and the vertical thin section, respectively determining the layer interface of the horizontal thin section and the vertical thin section, marking the layer interface of the horizontal thin section and the vertical thin section respectively, and obtaining the marked stratum occurrence;

[0034] Step 104: comparing the stratum trend, the field dip angle and the marked stratum occurrence respectively according to the marks on the horizontal thin section and the vertical thin section, and calculating the real stratum trend, the real stratum tendency and the real stratum dip angle according to the comparison results and the stratum tendency.

[0035] The stratum occurrence calculation method provided by the embodiments of the present disclosure is of great significance for studying the reservoir forming conditions and the like by performing paleostructure recovery and determining the paleostratum occurrence of an oil and gas bearing basin with multiple tectonic movement cycles superimposed and reformed. In view of the current research status of stratum interface identification and occurrence calculation methods in the geological field, the following problems are effectively solved: ① In the field measurement method, the stratum interface cannot be directly observed, the stratum change caused by tectonic deformation cannot truly reflect the original stratum occurrence, and the result has low precision and large error; ② The problem that in the field measurement method, the stratum interface cannot be effectively identified by the logging curve in the stratum with strong rock heterogeneity, secondary suture lines, fractures and developed solution cavities; ③ In the field measurement method, the sedimentary sequence interface is difficult to find in the thick blocky stratum, and cannot be directly observed and measured, which affects the understanding of the stratum structure and the identification of the deformation intensity.

[0036] In specific implementation, the stratum occurrence characteristics of the field outcrop are observed, the strike, dip and dip angle of the rock bed are measured according to the actual situation, and samples are taken, so as to preliminarily obtain the stratum occurrence elements of the samples (field strike a1, field dip b1 and field dip angle g1).

[0037] In an embodiment, the horizontal slice is obtained by slicing the rock bed sample in the horizontal direction from the direction perpendicular to the rock bed sample collection plane;

[0038] The vertical slice is obtained by slicing the rock bed sample in the vertical direction from the direction perpendicular to the rock bed sample collection plane.

[0039] In specific implementation, the horizontal slice and the vertical slice are sliced in the horizontal and vertical sample directions respectively, the direction of the field strike a1 is marked on the horizontal slice, and the direction of the field dip angle g1 is marked on the vertical slice.

[0040] In an embodiment, the horizontal slice and the vertical slice are subjected to image analysis to determine the layer interface of the horizontal slice and the vertical slice respectively, including:

[0041] The images of the horizontal slice and the vertical slice under the microscope are obtained;

[0042] The layering properties of the horizontal slice and the vertical slice are analyzed according to the images under the microscope, and the layer interface of the horizontal slice and the vertical slice is determined respectively.

[0043] In specific implementation, the microscope observation is performed, the rock bed interface is analyzed according to the microscopic characteristics of the horizontal slice and the vertical slice, the layering properties are analyzed in detail according to the particle size and arrangement of the minerals and the like, and the layer interface is identified. After the layer interface is determined, it is marked to obtain the actual occurrence (the rock bed strike a2 is marked on the horizontal slice, and the projection b' of the dip on the layer interface is marked on the vertical slice, as shown in FIG. 2).

[0044] In an embodiment, the field strike, the field dip and the marked stratum occurrence are compared respectively according to the marks on the horizontal slice and the vertical slice, including:

[0045] The stratum occurrence on the horizontal slice placed in the goniometer is compared with the layer interface of the horizontal slice.

[0046] The stratum dip on the vertical slice placed in the goniometer is compared with the layer interface of the horizontal slice.

[0047] In a specific implementation, the slices are placed in the goniometer at appropriate positions according to the relationship between the field strike α1 and the field dip γ1 marked on the slices in two directions and the layer interface marked in step S3. After the real occurrence (α2, β') obtained by the layer interface on the horizontal slice and the vertical slice is compared with the originally marked field occurrence (α1, β1) and it is determined whether the real occurrence is in the same direction or in the opposite direction, an appropriate formula is selected to calculate the real strike (α) of the stratum, the real dip (β) of the stratum and the real dip angle (γ) of the stratum (see FIG. 2):

[0048] The calculation formula of the real strike of the stratum is: α = α2.

[0049] In the formula, α is the real strike of the stratum, and α2 is the strike obtained by reading the layer interface in the goniometer according to the mark on the horizontal slice.

[0050] The calculation formula of the real dip of the stratum is: β = α + 90° or β = α - 90° + 360.

[0051] In the formula, α is the real strike of the stratum, and β is the real dip of the stratum.

[0052] The calculation formula of the real dip angle of the stratum is: γ = β' - 90° or γ = 270° - β'.

[0053] In the formula, β' is the projection of the dip marked on the vertical slice on the layer interface, and γ is the real dip angle of the stratum.

[0054] In an embodiment, the stratum occurrence calculation method further includes:

[0055] The method of FIG. 1 is repeatedly performed on multiple collected field outcrop samples, and the real stratum strike, the real stratum dip and the real stratum dip angle are calculated until a preset number of times is reached.

[0056] The structural movement information of the field outcrop is obtained, and the real stratum occurrence is determined according to the results of multiple calculations and the structural movement information of the field outcrop.

[0057] In a specific implementation, the stratum occurrence is calculated by multi-point sampling, and the stratum occurrence is comprehensively determined in combination with geological information such as structural movement.

[0058] Further, the aforementioned oriented sample includes an outcrop oriented sample, and is not limited to an outcrop sample, and includes all samples from which the occurrence information can be preliminarily determined, such as a core from which the occurrence information is preliminarily determined by means of dip logging and resistivity imaging logging.

[0059] For example, in this embodiment, the preliminary occurrence of the outcrop is first determined, and the field trend α1, the field tendency β1 and the field dip angle γ1 of the sample are preliminarily measured, wherein α1 is 5°, β1 is 95°, and γ1 is 25°.

[0060] Based on the field sample, the sample is oriented along the horizontal and vertical directions, the horizontal thin section is marked in the direction of the field trend α1, and the vertical thin section is marked in the direction of the field dip angle γ1.

[0061] Based on the two-directional thin sections, the layer interfaces of the horizontal thin section and the vertical thin section are determined under the microscope image analysis, and are marked.

[0062] Based on the two-directional thin sections, the thin sections are placed in the appropriate position in the goniometer chart according to the relationship between the marked field trend α1, the field dip angle γ1 and the true layer interface, the trend of the marked layer interface is read in the chart, and the true trend and the true dip angle of the stratum are calculated according to the relationship formula between the marked occurrence and the true occurrence.

[0063] The stratum occurrence is calculated by means of multi-point sampling, and the stratum occurrence is determined in combination with geological information such as tectonic movement, α is 353°, β is 83°, and γ is 30°, as shown in FIG. 3.

[0064] The disclosure also provides a stratum occurrence calculation device in the embodiment, as follows. Since the principle of the device for solving the problem is similar to the stratum occurrence calculation method, the implementation of the device can be referred to the implementation of the method, and the repeated parts will not be described herein.

[0065] FIG. 4 is a schematic diagram of the stratum occurrence calculation device provided in the embodiment of the disclosure, as shown in FIG. 4, the device includes:

[0066] The acquisition and measurement module 401 is configured to obtain the stratum trend, the stratum tendency and the stratum dip angle of the rock sample obtained by measuring the rock sample, and the rock sample is collected from the outcrop.

[0067] The marking module 402 is configured to determine the stratum trend marked on the horizontal thin section obtained by grinding the rock sample, and determine the stratum dip angle marked on the vertical thin section obtained by grinding the rock sample.

[0068] The analysis module 403 is configured to perform image analysis on the horizontal thin section and the vertical thin section, determine the layer interfaces of the horizontal thin section and the vertical thin section respectively, mark the layer interfaces of the horizontal thin section and the vertical thin section respectively, and obtain the marked stratum occurrence.

[0069] The computing module 404 is configured to compare the stratigraphic strike and the field dip with the marked stratigraphic attitude on the horizontal slice and the vertical slice respectively, and calculate the real stratigraphic strike, the real stratigraphic dip and the real stratigraphic dip angle according to the comparison result and the stratigraphic dip.

[0070] In an embodiment, the horizontal slice is obtained by grinding the rock sample in a horizontal direction perpendicular to the rock sample collection plane.

[0071] The vertical slice is obtained by grinding the rock sample in a vertical direction perpendicular to the rock sample collection plane.

[0072] In an embodiment, the analyzing module 403 is specifically configured to:

[0073] Obtain images of the horizontal slice and the vertical slice under the microscope;

[0074] Analyze the stratification properties of the horizontal slice and the vertical slice according to the images under the microscope, and determine the stratification interfaces of the horizontal slice and the vertical slice respectively.

[0075] In an embodiment, the analyzing module 403 is specifically configured to:

[0076] Compare the stratigraphic strike on the horizontal slice placed in the goniometer chart with the stratification interfaces of the horizontal slice;

[0077] Compare the stratigraphic dip on the vertical slice placed in the goniometer chart with the stratification interfaces of the horizontal slice.

[0078] In an embodiment, the method further comprises a repeated confirmation module specifically configured to:

[0079] Repeatedly process the field outcrop samples collected multiple times according to the stratigraphic attitude calculation device to obtain corresponding real stratigraphic strike, real stratigraphic dip and real stratigraphic dip angle until a preset number of times is reached;

[0080] Obtain the tectonic movement information of the field outcrop, and determine the real stratigraphic attitude according to the results of multiple calculations and the tectonic movement information of the field outcrop.

[0081] Based on the foregoing embodiments of the present disclosure, as shown in FIG. 5, the present disclosure further provides a computer device 500, which comprises a memory 510, a processor 520 and a computer program 530 stored in the memory 510 and capable of running on the processor 520, and the processor 520 implements the foregoing stratigraphic attitude calculation method when executing the computer program 530.

[0082] The present disclosure further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the foregoing stratigraphic attitude calculation method.

[0083] The embodiment of the present disclosure further provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the stratum occurrence calculation method.

[0084] To sum up, in the embodiment of the present disclosure, the stratum trend, the stratum tendency and the stratum dip angle of the rock sample are obtained by measuring the rock sample, and the rock sample is collected from the outcrop; the stratum trend marked on the horizontal slice obtained by slicing the rock sample is determined, and the stratum dip angle marked on the vertical slice obtained by slicing the rock sample is determined; the layer interfaces of the horizontal slice and the vertical slice are determined by image analysis, and the layer interfaces of the horizontal slice and the vertical slice are marked respectively to obtain the marked stratum occurrence; the stratum trend, the field dip angle and the marked stratum occurrence are compared respectively according to the marks on the horizontal slice and the vertical slice, and the real stratum trend, the real stratum tendency and the real stratum dip angle are calculated according to the comparison results and the stratum tendency. In this way, the stratum interface is more real and reliable on the basis of the outcrop, and the sequence interface is more accurate on the slice. The centimeter-level or even millimeter-level sedimentary interface can be clearly identified, the calculated layer interface occurrence information is very close to the real state, and the stratum occurrence is calculated quickly, efficiently and accurately by the present disclosure.

[0085] Those skilled in the art will understand that the embodiments of the present disclosure can be provided as a method, a system, or a computer program product. Therefore, the present disclosure can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present disclosure can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0086] The present disclosure is described with reference to the flowcharts and / or block diagrams according to the embodiments of the present disclosure. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices produce a device that implements the functions specified in one or more flows in the flowcharts and / or one or more blocks in the block diagrams.

[0087] These computer program instructions can 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 instructions which implement the function specified in the flowchart block or blocks and / or flowchart flow or flows and / or block or blocks of the block diagram.

[0088] These computer program instructions can 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 block or blocks and / or flowchart flow or flows and / or block or blocks of the block diagram.

[0089] The above specific embodiments, for the purpose of the disclosure, technical solutions and beneficial effects are further described in detail, it should be understood that the above-mentioned is only a specific embodiment of the present disclosure, and is not used to limit the protection scope of the present disclosure, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A method of formation behavior calculation, characterized by, The method comprises the following steps: obtaining the measured stratum trend, stratum tendency and stratum dip angle of a stratum sample collected from an outcrop; determining the stratum trend marked on a horizontal slice and the stratum dip angle marked on a vertical slice obtained by grinding the stratum sample; performing image analysis on the horizontal slice and the vertical slice to determine the layer interfaces of the horizontal slice and the vertical slice respectively, marking the layer interfaces of the horizontal slice and the vertical slice respectively to obtain marked stratum occurrence; comparing the stratum trend, the outcrop dip angle and the marked stratum occurrence respectively according to the marks on the horizontal slice and the vertical slice, and calculating the real stratum trend, the real stratum tendency and the real stratum dip angle according to the comparison result and the stratum tendency.

2. The method of claim 1, wherein, The horizontal slice is obtained by grinding the stratum sample in a horizontal direction perpendicular to the stratum sample collection plane. The vertical slice is obtained by grinding the stratum sample in a vertical direction perpendicular to the stratum sample collection plane.

3. The method of claim 1, wherein, The image analysis on the horizontal slice and the vertical slice to determine the layer interfaces of the horizontal slice and the vertical slice respectively comprises the following steps: obtaining the images of the horizontal slice and the vertical slice under a microscope; analyzing the layering properties of the horizontal slice and the vertical slice according to the images under the microscope to determine the layer interfaces of the horizontal slice and the vertical slice respectively.

4. The method of claim 1, wherein, The comparison of the outcrop trend, the outcrop dip angle and the marked stratum occurrence according to the marks on the horizontal slice and the vertical slice comprises the following steps: comparing the stratum trend on the horizontal slice placed in a goniometer chart and the layer interfaces of the horizontal slice; comparing the stratum dip angle on the vertical slice placed in a goniometer chart and the layer interfaces of the horizontal slice.

5. The method of claim 1, wherein, The method further comprises the following steps: repeating the method of claim 1 for multiple times to calculate the corresponding real stratum trend, real stratum tendency and real stratum dip angle until a preset number of times is reached; obtaining the tectonic movement information of the outcrop, and determining the real stratum occurrence according to the multiple calculation results and the tectonic movement information of the outcrop.

6. A formation behavior computing device, comprising: The method comprises the following steps: a collection and measurement module for obtaining the measured stratum trend, stratum tendency and stratum dip angle of a stratum sample collected from an outcrop; a marking module for determining the stratum trend marked on a horizontal slice and the stratum dip angle marked on a vertical slice obtained by grinding the stratum sample; an analysis module for performing image analysis on the horizontal slice and the vertical slice to determine the layer interfaces of the horizontal slice and the vertical slice respectively, marking the layer interfaces of the horizontal slice and the vertical slice respectively to obtain marked stratum occurrence; a calculation module for comparing the stratum trend, the outcrop dip angle and the marked stratum occurrence respectively according to the marks on the horizontal slice and the vertical slice, and calculating the real stratum trend, the real stratum tendency and the real stratum dip angle according to the comparison result and the stratum tendency.

7. The apparatus of claim 6, wherein, The horizontal slice is obtained by grinding the stratum sample in a horizontal direction perpendicular to the stratum sample collection plane. The vertical slice is obtained by grinding the stratum sample in a vertical direction perpendicular to the stratum sample collection plane.

8. The apparatus of claim 6, wherein, The analysis module is specifically configured to acquire images of the horizontal slice and the vertical slice under a microscope; analyze the bedding properties of the horizontal slice and the vertical slice according to the images under the microscope, and determine the bedding interfaces of the horizontal slice and the vertical slice respectively.

9. The apparatus of claim 6, wherein, The analysis module is specifically configured to: compare the stratigraphic trend on the horizontal slice placed in the protractor with the bedding interfaces of the horizontal slice; compare the stratigraphic dip on the vertical slice placed in the protractor with the bedding interfaces of the horizontal slice.

10. The apparatus of claim 6, wherein, Further comprising a repeated confirmation module, which is specifically configured to: perform repeated processing on the field outcrop samples collected multiple times according to the device of claim 6, and calculate the corresponding real stratigraphic trend, real stratigraphic dip and real stratigraphic dip angle until a preset number of times is reached; acquire the tectonic movement information of the field outcrop, and determine the real stratigraphic occurrence according to the results of multiple calculations and the tectonic movement information of the field outcrop.

11. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the method of any one of claims 1 to 5.

12. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the method of any one of claims 1 to 5.

13. A computer program product, characterised in that, The computer program product comprises a computer program, and the computer program is executed by the processor to implement the method of any one of claims 1 to 5.

Images