Self-adaptive identification and prediction method and system for front-edge sunken deposition system based on three-dimensional substance point method

Abstract

The invention relates to the field of oil-gas exploration and development, and discloses a three-dimensional material point method-based self-adaptive identification and prediction method and system for a leading-edge depression sedimentary system, and the method comprises the steps: carrying out the material source analysis based on the regional geological background of a depression or basin, and building a terrain slope three-dimensional material point grid model from a source supply region to a convergence region; carrying out stress analysis on the debris particles with different particle sizes in the source area, calculating to obtain the acceleration and the speed of the debris particles with different particle sizes, and simulating the movement process of the debris particles based on the interaction between multiphase bodies; based on motion equations of sediments with different particle sizes, quantitatively predicting the transportation and deposition distances of the sediments under the corresponding terrain gradient background, and based on the transportation distances of different particles, sequentially depicting the boundaries of different deposition systems; and performing three-dimensional identification and prediction on the deposition system in the recess based on the pickup of the deposition boundary. The method can effectively and quantitatively predict the carrying deposition distance of particles with different particle sizes in the front sunken deposition system.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas exploration and development, and in particular to a method and system for adaptively identifying and predicting a frontier depression sedimentary system based on a three-dimensional material point method. Background Art

[0002] Marine frontier sags are defined as those that possess essential oil and gas geological conditions but are poorly explored and understood, with uncertain oil and gas resource potential. These sags, if explored, could potentially have significant regional significance. Currently, the key conditions and evaluation criteria for the formation of hydrocarbon-rich sags in marine areas are unclear. Different sedimentary systems simultaneously determine the distribution of favorable reservoirs and the development space for effective hydrocarbon sources within frontier sags. The identification and delineation of sedimentary system boundaries directly influences the prediction of favorable sandbody distribution and the delineation of the extent of lacustrine source rocks within frontier sags. Traditional methods for identifying sedimentary systems and sedimentary systems in frontier sags rely heavily on sedimentary facies distribution and seismic facies characteristics. Sedimentary facies delineation is subjective, and seismic facies characteristics cannot accurately delineate boundaries. Overall, these methods have not fully exploited the rich geological information contained in seismic data, nor have they quantitatively calculated and predicted the transport distances of sedimentary systems from a dynamic perspective. The delineation of sedimentary system boundaries in frontier sags hinders the accurate prediction of favorable reservoirs and the objective assessment of their exploration potential. Summary of the Invention

[0003] In response to the above problems, the purpose of the present invention is to provide a method and system for adaptive identification and prediction of frontier depression sedimentary systems based on the three-dimensional material point method, which can comprehensively consider the interactions between multiphase bodies, simulate the movement process of debris particles, fully tap into existing geological information, and effectively and quantitatively predict the transportation and deposition distances of particles of different particle sizes in the frontier depression sedimentary system under the terrain background of the depression area.

[0004] To achieve the above objectives, in the first aspect, the technical solution adopted by the present invention is: a method for adaptively identifying and predicting the sedimentary system of a frontier depression based on the three-dimensional material point method, which includes: conducting material source analysis based on the regional geological background of the depression or basin, and establishing a three-dimensional particle grid model of the terrain gradient from the source area to the accumulation area; based on the three-dimensional particle grid model of the terrain gradient, performing force analysis on debris particles of different particle sizes in the material source area, calculating the acceleration and velocity of debris particles of different particle sizes, and then simulating the movement process of debris particles based on the interaction between multiphase bodies; based on the motion equations of sediments of different particle sizes, quantitatively predicting the distance of their transportation and deposition under the corresponding terrain gradient background, and based on the transportation distances of different particles, successively characterizing the boundaries of different sedimentary systems; based on the picking of sedimentary boundaries, performing three-dimensional identification and prediction of the sedimentary system in the depression.

[0005] Furthermore, provenance analysis is conducted based on the regional geological background of the depression or basin, including: identifying the sedimentary facies of different sedimentary systems in the depression according to the type and tectonic evolution history of the basin or depression, and judging the change in provenance direction through vertical superposition relationships.

[0006] Furthermore, the force analysis of debris particles of different sizes in the provenance area was carried out, and the acceleration and velocity of debris particles of different sizes were calculated, including:

[0007] Based on the sedimentation dynamics analysis results, the corresponding acceleration formulas of debris particles with different particle sizes were obtained according to Newton's second law;

[0008] Based on the kinetic energy theorem and the conservation of energy during the transportation of particles of different sizes, the velocity formula is obtained;

[0009] According to the acceleration formula and velocity formula, the acceleration and velocity of debris particles with different particle sizes are calculated.

[0010] Furthermore, the interactions between multiphase bodies include: interactions between solid, liquid and gas.

[0011] Furthermore, based on the motion equations of sediments of different particle sizes, the distance of their transportation and deposition under the corresponding terrain slope background is quantitatively predicted, including: determining the predicted distance of transportation and deposition according to the velocity formula of particles of different particle sizes.

[0012] Furthermore, the distance at which the particle stops moving when its velocity is 0 is the distance it is transported and deposited.

[0013] Furthermore, the sedimentary system in the depression is three-dimensionally identified and predicted based on the picking of the sedimentary boundary. Specifically, after the sedimentary boundary is determined, the corresponding three-dimensional geological body is carved through the sedimentary boundary for three-dimensional identification and prediction.

[0014] In the second aspect, the technical solution adopted by the present invention is: an adaptive identification and prediction system for the frontier depression sedimentary system based on the three-dimensional material point method, which includes: a model construction module, which performs material source analysis based on the regional geological background of the depression or basin, and establishes a three-dimensional particle grid model of the terrain slope from the source area to the accumulation area; a particle movement simulation module, which performs force analysis on debris particles of different particle sizes in the material source area based on the three-dimensional particle grid model of the terrain slope, calculates the acceleration and velocity of debris particles of different particle sizes, and then simulates the movement process of debris particles based on the interaction between multiphase bodies; a boundary determination module, which quantitatively predicts the distance of transportation and deposition of sediments of different particle sizes under the corresponding terrain slope background based on the motion equations of sediments of different particle sizes, and characterizes the boundaries of different sedimentary systems in turn based on the transportation distances of different particles; an identification and prediction module, which performs three-dimensional identification and prediction of the sedimentary system in the depression based on the picking of sedimentary boundaries.

[0015] In a third aspect, the technical solution adopted by the present invention is: a computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, and when the instructions are executed by a computing device, the computing device executes any one of the above methods.

[0016] In a fourth aspect, the technical solution adopted by the present invention is: a computing device, comprising: one or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for executing any of the above methods.

[0017] The present invention has the following advantages due to the adoption of the above technical solution:

[0018] The present invention is based on the adaptive identification and prediction of the frontier sag sedimentary system using the three-dimensional material point method. It comprehensively considers the interaction between multiphase bodies, simulates the movement process of debris particles, and fully exploits existing geological information to provide an effective method for quantitatively predicting the transportation and deposition distance of particles of different particle sizes in the frontier sag sedimentary system under the background of the depression area topography, providing an important basis for the evaluation of the exploration potential of offshore frontier sags and the prediction of favorable reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is an overall flow chart of a method for adaptively identifying and predicting a frontier depression deposition system based on a three-dimensional material point method in an embodiment of the present invention;

[0020] Figure 2 Detailed flow chart of the adaptive identification and prediction method of the frontier depression deposition system based on the three-dimensional material point method in an embodiment of the present invention;

[0021] Figure 3 This is a structural diagram of the bottom shape of the depression and local provenance area in the study area in the embodiment of the present invention;

[0022] Figure 4 This is a planar distribution diagram of the sedimentary system in the depression in the study area in the embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to overcome the problem that the existing delineation of the boundaries of frontier sag sedimentary systems restricts the accurate prediction of their favorable reservoirs and the objective evaluation of their exploration potential, the present invention provides a method and system for adaptive identification and prediction of frontier sag sedimentary systems based on a three-dimensional material point method, including: establishing a three-dimensional particle grid model of the topographic gradient from the source area to the accumulation area based on sag / basin provenance analysis; conducting force analysis on debris particles of different particle sizes in the provenance area and establishing a velocity formula; simulating the movement process of debris particles based on the interaction between multiphase bodies; quantitatively predicting the distance of their transportation and deposition under the corresponding topographic gradient background based on the motion equations of sediments of different particle sizes; delineating the boundaries of different sedimentary systems based on different particle transportation distances; and performing three-dimensional identification and prediction of sedimentary systems within the sag based on the picking of sedimentary boundaries.

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the described embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of the present invention.

[0025] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0026] In one embodiment of the present invention, a method for adaptively identifying and predicting a front depression deposition system based on a three-dimensional material point method is provided. In this embodiment, Figure 1 As shown, the method includes the following steps:

[0027] S1, based on the regional geological background of the depression or basin, conduct provenance analysis and establish a three-dimensional particle grid model of the topographic slope from the source area to the accumulation area;

[0028] S2, based on a three-dimensional particle grid model of terrain slope, analyzes the forces acting on debris particles of different sizes in the provenance area, calculates the acceleration and velocity of debris particles of different sizes, and then simulates the movement process of debris particles based on the interaction between multiphase bodies;

[0029] S3, based on the motion equations of sediments of different particle sizes, quantitatively predict the distances they are transported and deposited under the corresponding terrain gradient background. Based on the different particle transport distances, the boundaries of different sedimentary systems are sequentially characterized.

[0030] S4, three-dimensional identification and prediction of the sedimentary system within the depression based on the picking of sedimentary boundaries.

[0031] In the above step S1, provenance analysis is performed based on the regional geological background of the depression or basin, specifically: according to the type and tectonic evolution history of the basin / or depression, the sedimentary facies of different sedimentary systems in the depression are identified, and the change in provenance direction is determined by the vertical superposition relationship.

[0032] In the above step S2, force analysis is performed on the debris particles of different sizes in the provenance area to calculate the acceleration and velocity of the debris particles of different sizes, which specifically includes the following steps:

[0033] S21. Based on the sedimentation dynamics analysis results, the corresponding acceleration formulas for debris particles of different sizes are obtained according to Newton's second law;

[0034] Among them, Newton's second law: a=F / m, can determine the acceleration.

[0035] S22. Based on the kinetic energy theorem and the conservation of energy during the transportation of particles of different sizes, the velocity formula is obtained.

[0036] Among them, the kinetic energy theorem is the relationship between speed and distance of movement.

[0037] S23. Calculate the acceleration and velocity of debris particles of different sizes based on the acceleration formula and the velocity formula.

[0038] In the above step S2, the movement process of debris particles is simulated based on the interaction between multiphase bodies, mainly the interaction between solid, liquid and gas.

[0039] In step S3, the distance that sediment particles of different particle sizes are transported and deposited is quantitatively predicted based on the equations of motion for the corresponding terrain gradient. Specifically, the predicted distance of transport and deposition is determined using the velocity formula for particles of different particle sizes. In this embodiment, the distance at which the particle stops moving when its velocity reaches zero is the distance of transport and deposition.

[0040] In this embodiment, because the equation of motion for different particle sizes and different deposition environments is not always the same, the predicted transport distance in this embodiment is determined based on the velocity formula for particles of different particle sizes. The velocity formula essentially represents the relationship between the relative transport distance and velocity of sediments of different particle sizes. Therefore, the distance at which a particle stops moving when its velocity is zero is the distance it is transported.

[0041] In the above step S4, the sedimentary system in the depression is three-dimensionally identified and predicted based on the picking of the sedimentary boundary. Specifically, after the sedimentary boundary is determined, the corresponding three-dimensional geological body is carved according to the sedimentary boundary to perform three-dimensional identification and prediction.

[0042] Example: This example selects a depression in the Zhuyi Depression of the Pearl River Mouth Basin as the research area for adaptive identification and prediction of sedimentary systems. The resource potential of the research area is unknown and the distribution range of favorable sand bodies is unclear. This method fully considers the interaction between multiphase bodies and simulates the movement process of debris particles. Figure 2 As shown, a method for adaptively identifying and predicting a frontal depression sedimentary system based on a three-dimensional material point method includes the following steps:

[0043] S1. Establishment of terrain slope model.

[0044] Based on the provenance analysis of the fourth member of the Wenchang Formation in the study area, a three-dimensional particle grid model of the topographic slope from the source area to the accumulation area was established (e.g. Figure 3 shown);

[0045] S2. Speed ​​formula is established.

[0046] The force analysis is conducted on clastic particles of different sizes in the provenance area, including clastic particles of different sizes ranging from conglomerate to sandstone to mudstone, and the corresponding acceleration and velocity formulas are established;

[0047] S3. Movement process simulation.

[0048] Based on the interaction between multiphase bodies (solid / liquid / gas), the movement process of debris particles during the deposition of Wen 4 Member was simulated;

[0049] S4. Prediction of transport distance.

[0050] Based on the motion equations of sediments of different particle sizes, the distance of sediment transport under the corresponding terrain gradient during the deposition of the Wen 4th Member was quantitatively predicted.

[0051] S5. Characterization of sedimentary system boundaries.

[0052] Based on different particle transport distances, the boundaries of different sedimentary systems during the fourth stage of Wen's deposition are depicted in sequence.

[0053] S6. Identification and prediction of sedimentary systems.

[0054] Three-dimensional identification and prediction of sedimentary systems within the depression are performed based on the picking of sedimentary boundaries.

[0055] Based on the calculation results of the above sedimentary system characterization, the hydrocarbon source potential and exploration direction of the depression in the study area are evaluated (such as Figure 4 shown).

[0056] In one embodiment of the present invention, a system for adaptively identifying and predicting a frontier depression deposition system based on a three-dimensional material point method is provided, comprising:

[0057] The model building module conducts provenance analysis based on the regional geological background of the depression or basin and establishes a three-dimensional particle grid model of the terrain gradient from the source area to the accumulation area;

[0058] The particle motion simulation module, based on a three-dimensional particle grid model of terrain slope, analyzes the forces acting on debris particles of different sizes in the provenance area, calculates the acceleration and velocity of debris particles of different sizes, and then simulates the movement of debris particles based on the interaction between multiphase bodies;

[0059] The boundary determination module quantitatively predicts the distances of sediment transport under the corresponding terrain gradient based on the motion equations of sediments of different particle sizes. Based on the transport distances of different particles, the boundaries of different sedimentary systems are sequentially characterized.

[0060] The identification and prediction module performs three-dimensional identification and prediction of the sedimentary system in the depression based on the picking of sedimentary boundaries.

[0061] In the above embodiment, provenance analysis is performed based on the regional geological background of the depression or basin, including: identifying the sedimentary facies of different sedimentary systems in the depression according to the type and tectonic evolution history of the basin or depression, and determining the change in the provenance direction through the vertical superposition relationship.

[0062] In the above embodiment, the force analysis is performed on the debris particles of different sizes in the provenance area, and the acceleration and velocity of the debris particles of different sizes are calculated, including:

[0063] Based on the sedimentation dynamics analysis results, the corresponding acceleration formulas of debris particles with different particle sizes were obtained according to Newton's second law;

[0064] Based on the kinetic energy theorem and the conservation of energy during the transportation of particles of different sizes, the velocity formula is obtained;

[0065] According to the acceleration formula and velocity formula, the acceleration and velocity of debris particles with different particle sizes are calculated.

[0066] In the above embodiment, the interaction between multiphase bodies includes the interaction between solid, liquid and gaseous states.

[0067] In the above embodiment, based on the motion equations of sediments of different particle sizes, the distance of their transportation and deposition under the corresponding terrain gradient is quantitatively predicted, including: determining the predicted transportation and deposition distance according to the velocity formula of particles of different particle sizes.

[0068] In the above embodiment, the distance at which the particles stop moving when their speed is 0 is the distance they are transported and deposited.

[0069] In the above embodiment, the sedimentary system in the depression is 3D identified and predicted based on the picking of the sedimentary boundary. Specifically, after the sedimentary boundary is determined, the corresponding 3D geological body is carved according to the sedimentary boundary to perform 3D identification and prediction.

[0070] The system provided in this embodiment is used to execute the above-mentioned method embodiments. Please refer to the above-mentioned embodiments for specific processes and detailed contents, which will not be repeated here.

[0071] A computing device provided in one embodiment of the present invention may be a terminal and may include: a processor, a communications interface, a memory, a display screen, and an input device. The processor, communications interface, and memory communicate with each other via a communications bus. The processor is configured to provide computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and a computer program. When executed by the processor, the computer program implements the methods described in the aforementioned embodiments. The internal memory provides an environment for the operating system and computer program in the non-volatile storage medium to run. The communications interface is configured to communicate with an external terminal via wired or wireless communication, where wireless communication may be achieved via Wi-Fi, a network management service provider, NFC (near-field communication), or other technologies. The display screen may be a liquid crystal display or an electronic ink display. The input device may be a touchscreen layer covering the display screen, or may be buttons, a trackball, or a touchpad provided on the computing device housing, or may be an external keyboard, touchpad, or mouse. The processor may invoke logic instructions stored in the memory.

[0072] In addition, the logical instructions in the above-mentioned memory can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0073] In one embodiment of the present invention, a computer program product is provided, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the methods provided by the above-mentioned method embodiments.

[0074] In one embodiment of the present invention, a non-transitory computer-readable storage medium is provided. The non-transitory computer-readable storage medium stores server instructions. The computer instructions enable a computer to execute the methods provided in the above embodiments.

[0075] The above embodiment provides a computer-readable storage medium, whose implementation principle and technical effects are similar to those of the above method embodiment, and will not be repeated here.

[0076] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes 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 processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0077] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0078] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for adaptive identification and prediction of frontier depression sedimentation systems based on a three-dimensional material point method, characterized in that: include: Conduct provenance analysis based on the regional geological background of depressions or basins, and establish a three-dimensional particle grid model of the terrain gradient from the source area to the accumulation area; Based on a three-dimensional particle grid model of terrain slope, the forces acting on debris particles of different sizes in the provenance area were analyzed, and the acceleration and velocity of debris particles of different sizes were calculated. Then, based on the interaction between multiphase bodies, the movement process of debris particles was simulated. Based on the motion equations of sediments of different particle sizes, the distances they are transported and deposited in the corresponding terrain gradient are quantitatively predicted. Based on the transport distances of different particles, the boundaries of different sedimentary systems are sequentially characterized. Three-dimensional identification and prediction of sedimentary systems within the depression are performed based on the picking of sedimentary boundaries.

2. The method for adaptively identifying and predicting a frontal depression deposition system based on a three-dimensional material point method according to claim 1, wherein: Provenance analysis is conducted based on the regional geological background of the sag or basin, including: identifying the sedimentary facies of different sedimentary systems within the sag according to the type and tectonic evolution history of the basin or sag, and judging the changes in the provenance direction through vertical superposition relationships.

3. The method for adaptively identifying and predicting a frontal depression deposition system based on a three-dimensional material point method according to claim 1, wherein: The force analysis of debris particles of different sizes in the provenance area was carried out, and the acceleration and velocity of debris particles of different sizes were calculated, including: Based on the sedimentation dynamics analysis results, the corresponding acceleration formulas of debris particles with different particle sizes were obtained according to Newton's second law; Based on the kinetic energy theorem and the conservation of energy during the transportation of particles of different sizes, the velocity formula is obtained; According to the acceleration formula and velocity formula, the acceleration and velocity of debris particles with different particle sizes are calculated.

4. The method for adaptively identifying and predicting a frontal depression deposition system based on a three-dimensional material point method according to claim 1, wherein: Interactions between multiphase bodies, including interactions between solid, liquid and gas.

5. The method for adaptively identifying and predicting a frontal depression deposition system based on a three-dimensional material point method according to claim 1, wherein: Based on the motion equations of sediments of different particle sizes, the distance they are transported and deposited under the corresponding terrain gradient is quantitatively predicted, including: determining the predicted distance of transport and deposition based on the velocity formula of particles of different particle sizes.

6. The method for adaptively identifying and predicting a frontal depression deposition system based on a three-dimensional material point method according to claim 5, characterized in that: The distance at which the particle stops moving when its velocity is 0 is the distance it is transported and deposited.

7. The method for adaptively identifying and predicting a frontier depression deposition system based on a three-dimensional material point method according to claim 1, wherein: The sedimentary system in the depression is 3D identified and predicted based on the picking of sedimentary boundaries. Specifically, after the sedimentary boundaries are determined, the corresponding 3D geological body is carved through the sedimentary boundaries for 3D identification and prediction.

8. An adaptive identification and prediction system for frontier depression sedimentation systems based on a three-dimensional material point method, characterized in that: include: The model building module conducts provenance analysis based on the regional geological background of the depression or basin and establishes a three-dimensional particle grid model of the terrain gradient from the source area to the accumulation area; The particle motion simulation module, based on a three-dimensional particle grid model of terrain slope, analyzes the forces acting on debris particles of different sizes in the provenance area, calculates the acceleration and velocity of debris particles of different sizes, and then simulates the movement of debris particles based on the interaction between multiphase bodies; The boundary determination module quantitatively predicts the distances of sediment transport under the corresponding terrain gradient based on the motion equations of sediments of different particle sizes. Based on the transport distances of different particles, the boundaries of different sedimentary systems are sequentially characterized. The identification and prediction module performs three-dimensional identification and prediction of the sedimentary system in the depression based on the picking of sedimentary boundaries.

9. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any one of the methods of claims 1 to 7 .

10. A computing device, characterized in that include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for executing any one of the methods according to claims 1 to 7.

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