Rift valley-passive mainland edge evolution method, device, equipment and storage medium

Abstract

The embodiment of the invention provides a rift valley-passive mainland edge evolution method and device, equipment and a storage medium. The method comprises the following steps: determining a master control single influence factor influencing a rift valley-passive mainland edge, and establishing an influence model of the master control single influence factor on basin development and evolution; establishing two comprehensive indexes of lithosphere strength and shell curtain coupling degree to perform data simulation on influence models of different main control single influence factors; and by comparing actual passive mainland edge basin data with a numerical simulation result, determining the influence of two comprehensive indexes, namely the lithosphere strength and the shell curtain coupling degree, on the basin structure and the control effect on the basin type. Geologic features and tectonic sedimentary evolution laws of rift valley-passive mainland edges are accurately represented through a finite difference numerical simulation method, quantitative evaluation of the lithosphere stretching process is achieved, basin type division, tectonic zone definition, tectonic pattern distribution analysis and source and reservoir distribution prediction are guided, and the method is suitable for large-scale popularization and application. And a foundation is laid for clearing oil-gas distribution rules of related basins.

Description

Technical Field

[0001] The present application relates to the technical field of petroleum geological exploration, and in particular to a rift-passive continental margin evolution method, device, equipment and storage medium. Background Art

[0002] During the development and evolution of rift-passive continental margins, differences in basement properties fundamentally lead to changes in basin types and corresponding sedimentary filling and oil and gas enrichment patterns. Lithosphere strength and crust-mantle coupling are common indicators that reflect basement properties and rheological properties. Changes in these indicators essentially constrain the behavior of rift-passive continental margins during development and evolution, and directly control the topographic and geomorphic characteristics, basin scale, sedimentary filling patterns, and tectonic-stratigraphic structures during the rifting of the lithosphere, and determine the types and oil and gas resource potential of related basins during the development and evolution of rift-passive continental margins. Therefore, studying the quantitative effects of lithosphere strength and crust-mantle coupling on the types of rift-passive continental margin basins can effectively characterize the effects of basement properties on the development and evolution of rift-passive continental margins, as well as dynamically restore the tectonic-sedimentary evolution history of various types of rift-passive continental margin basins, which is crucial for the study of oil and gas distribution patterns and reservoir formation in rift and passive continental margin basins.

[0003] At present, there are two main experimental methods for simulating tectonic evolution at the scale of the lithosphere: physical simulation and numerical simulation: a sandbox model, physical simulation method of extensional deformation, system and application (CN112750356A); experimental device and experimental method for physical simulation of tectonic deformation of the lithosphere (CN112781519A); three-dimensional viscoelastic modeling method with fractures based on the lithosphere public database (CN113298942A). Among them, the research on numerical simulation includes: numerical simulation study on the influence of tension rate and rheological structure of the lithosphere on the rupture of the continental lithosphere (Tectonic Geology and Mineralization, 2022.04); numerical simulation study on tectonic-thermal evolution of passive continental margin (doctoral dissertation of University of Chinese Academy of Sciences, 2021.06); numerical simulation study on crustal deformation dynamics on the southeastern margin of the Qinghai-Tibet Plateau (master's dissertation of Institute of Geology, China Earthquake Administration, 2021.05); current movement characteristics and numerical simulation study of major faults in the surrounding areas of the eastern Himalayan tectonic knot (master's dissertation of Institute of Geology, China Earthquake Administration, 2010.09).

[0004] However, the current physical simulation research methods still have certain limitations in terms of experimental materials, experimental time, and temporal and spatial comparison with actual geological conditions. Numerical simulation methods are often limited to the qualitative impact of a single influencing factor on tectonic evolution, and cannot quantify the comprehensive index used to describe the strength structure of the lithosphere, making it difficult to specifically study the quantitative impact of lithosphere strength on rift-passive margin evolution. Summary of the invention

[0005] In view of this, the present application provides a rift passive continental margin evolution method, device, equipment and storage medium, so as to solve the problem in the prior art that it is difficult to specifically study the quantitative impact of lithosphere strength on rift-passive continental margin evolution.

[0006] In a first aspect, an embodiment of the present application provides a rift-passive continental margin evolution method, comprising:

[0007] Determine the main single influencing factor affecting the rift-passive continental margin and establish a model for the impact of the main single influencing factor on basin development and evolution;

[0008] Two comprehensive indicators, namely, lithospheric strength and crust-mantle coupling, are established to simulate the influence model of different main controlling single influencing factors;

[0009] By comparing the actual passive continental margin basin data with the numerical simulation results, the influence of two comprehensive indicators, lithospheric strength and crust-mantle coupling degree, on the basin structure and their control on the basin type are determined.

[0010] In a possible implementation, determining the main controlling single influencing factor affecting the rift-passive continental margin and establishing an influence model of the main controlling single influencing factor on basin development and evolution includes:

[0011] Collect and organize crustal physics, rock physics and rheology data from around the world to determine the single influencing factors;

[0012] Performing data simulation for the single influencing factor;

[0013] The main controlling single influencing factor is determined based on the data simulation and a model for the influence of the main controlling single influencing factor on the development and evolution of the basin is established.

[0014] In a possible implementation, the performing data simulation on the single influencing factor includes:

[0015] The yield strength |σ1-σ3| model and toughness model are determined.

[0016] The yield strength |σ1-σ3| model is:

[0017]

[0018] Where C is the lithospheric cohesion strength, fs is the friction coefficient, λ is the pore pressure coefficient,

[0019] The toughness model is:

[0020]

[0021] Among them, A Dis the exponential coefficient, n is the exponent, E a is the activation energy, V a is the activation volume;

[0022] Finite difference numerical simulation method is used, based on the viscoelastic-elastic two-dimensional model of Stokes equations and nonlinear rheological equations, to iteratively solve the material conservation, momentum conservation and energy conservation equations in seconds, and obtain the calculation results of lithosphere temperature, viscosity, stress distribution, strain rate, terrain undulation, etc. at different times;

[0023] By controlling the output frequency of simulation results, continuous simulation results of different factors are obtained to dynamically display the entire process of rift-passive margin development and evolution.

[0024] In a possible implementation, determining the main controlling single influencing factor according to the data simulation and establishing an influence model of the main controlling single influencing factor on basin development and evolution includes:

[0025] Firstly, a systematic numerical simulation of the influencing factors of the main control unit is carried out;

[0026] Combined with the numerical simulation results, a quantitative model of the main controlling factors on the morphology, scale and type of rift-passive margin basins is established.

[0027] In a possible implementation, the establishment of two comprehensive indicators of lithosphere strength and crust-mantle coupling degree to perform data simulation on the influence model of different main controlling single influencing factors includes:

[0028] Define the lithosphere strength σ e is the integral of the lithosphere differential stress in its depth domain:

[0029]

[0030] Define the lithospheric crust-mantle coupling coefficient Co c The brittle layer and the entire lithosphere L litho Thickness ratio:

[0031]

[0032] On the basis of the single factor simulation results and the relationship model, according to the actual geological conditions, the main controlling single influencing factors are comprehensively adjusted to determine the σ e and Co c Two parameter values;

[0033] The system is carried out with σ e and Co c It is a comprehensive, multi-factor numerical simulation of the main variables;

[0034] Combined with the simulation results, a quantitative model of the morphology, tectonic evolution characteristics, and sedimentary filling patterns of the two-parameter syn-rift-passive margin assemblage was established;

[0035] Finally, the controlling effects of lithospheric strength and crust-mantle coupling on basin types are determined.

[0036] In a possible implementation, the comparison between actual passive continental margin basin data and numerical simulation results includes:

[0037] For specific rift-passive continental margin basin cases, the basin structure, basement morphology and deep structural characteristics of the corresponding basin are obtained through basin-scale seismic profile interpretation and other geological and geophysical data;

[0038] By comparing the comprehensive and multi-factor numerical simulation results, we obtain the index values ​​of lithospheric strength and crust-mantle coupling degree that are consistent with the above characteristics of the basin;

[0039] The strength of the basin's pre-rift basement is determined based on the basement lithology, structural attributes, age, and geothermal gradient data collected in the early stages of the basin.

[0040] One possible implementation method also includes: combining the constraints of other geological and geophysical data, and inferring the reasonable distribution range and combination characteristics of the basement strength attributes and other single influencing factors through the relevant characteristics of the passive continental margin basin, thereby realizing the prediction function of the passive continental margin morphology, basin structure and type by the thermodynamic properties of the basement and lithosphere of the passive continental margin basin.

[0041] In a second aspect, an embodiment of the present application provides a rift-passive continental margin evolution device, comprising:

[0042] A determination module is used to determine the main single influencing factor affecting the rift-passive continental margin and establish an influence model of the main single influencing factor on the development and evolution of the basin;

[0043] A model building module is used to establish two comprehensive indicators, namely, lithospheric strength and crust-mantle coupling degree, to simulate the influence model of different main controlling single influencing factors;

[0044] The processing module is used to determine the influence of two comprehensive indicators, namely, lithospheric strength and crust-mantle coupling degree, on the basin structure and their control on the basin type by comparing the actual passive continental margin basin data with the numerical simulation results.

[0045] In a third aspect, an embodiment of the present application provides an electronic device, including:

[0046] processor;

[0047] Memory;

[0048] And a computer program, wherein the computer program is stored in the memory, and the computer program includes instructions, which, when executed by the processor, enable the electronic device to execute the method described in any possible implementation of the first aspect.

[0049] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the method described in any possible implementation method of the first aspect.

[0050] In the embodiments of the present application, the rock physics experimental results and rheological property parameters are sorted out for the research object, the constraints are determined by interpreting the geological and geophysical data, and single-factor numerical simulation experiments are carried out to clarify the reasonable range and main controlling factors of each parameter. Then, the lithospheric strength structure is described by defining two comprehensive indicators, namely the lithospheric strength and the degree of crust-mantle coupling, and multi-factor simulation experiments are carried out around the two indicators. Finally, the actual basin case is compared to verify the strength characteristics of the underlying lithospheric basement, and determine the controlling role of the lithospheric strength structure on the development and evolution of the passive continental margin.

[0051] This application can complete the dynamic restoration of the development history of the rift-passive continental margin based on limited geological and geophysical data. The finite difference numerical simulation method accurately characterizes the geological characteristics and structural-sedimentary evolution laws of the rift-passive continental margin, realizes the quantitative evaluation of the lithospheric extension process, guides the classification of basin types, the definition of structural zones, the analysis of structural style distribution and the prediction of source and reservoir distribution, and lays the foundation for clarifying the oil and gas distribution laws of related basins. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0053] Figure 1 A schematic diagram of a flow chart of a rift-passive continental margin evolution method provided in an embodiment of the present application;

[0054] Figure 2 A schematic diagram of the initial setting of the numerical simulation experiment provided in the embodiment of the present application;

[0055] Figure 3 A schematic diagram showing the effect of the temperature structure provided in the embodiment of the present application as a single influencing factor on the strength structure of the lithosphere;

[0056] Figure 4Schematic diagram of the experimental model of the rift center migration distance, detachment layer thickness and fault block size controlled by the temperature structure change of the lithosphere provided in the embodiment of the present application;

[0057] Figure 5 A schematic diagram of the definition of two comprehensive indicators, lithospheric strength and crust-mantle coupling degree, provided in the embodiments of the present application;

[0058] Figure 6 A schematic diagram of typical numerical simulation experimental results provided in the embodiments of the present application;

[0059] Figure 7 A schematic diagram showing the comparison between the numerical simulation results provided in the embodiment of the present application and the actual basin geological profile;

[0060] Figure 8 A distribution map of the relative positions of the passive continental margin basin and paleo-hotspot in the middle section of the South Atlantic Ocean provided in the embodiments of the present application;

[0061] Fig. 9 A schematic diagram of a rift-passive continental margin evolution device provided in an embodiment of the present application;

[0062] Fig.10 A schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0063] In order to better understand the technical solution of the present application, the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0064] It should be clear that the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0065] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0066] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0067] See also Figure 1A schematic diagram of a rift-passive continental margin evolution method provided in an embodiment of the present application is shown in FIG. Figure 1 The rift-passive continental margin evolution method in this embodiment includes:

[0068] S101, determine the main single controlling factor affecting the rift-passive continental margin and establish an impact model of the main single controlling factor on basin development and evolution.

[0069] Collect and organize geophysical, rock physical and rheological data such as crust and lithosphere thickness L, temperature T, density ρ, extension deformation rate, rock specific heat capacity Cp, thermal conductivity coefficient κ, etc. on a global scale, including brittle deformation and ductile creep parameter systems.

[0070] Under the extensional background, the deformation of the lithosphere consists of elastic deformation and ductile deformation, in which the elastic strain is controlled by the elastic mechanics of the continuous medium, and its yield strength is controlled by parameters such as the lithosphere aggregation strength C, the friction coefficient fs and the pore pressure coefficient λ. Once the yield strength (|σ1-σ3|) is exceeded, the lithosphere will produce brittle fracture.

[0071]

[0072] The toughness model follows two behaviors: diffusion creep and dislocation creep, which are represented by the corresponding exponential coefficients (A D ), index (n), activation energy (E a ), activation volume (V a The above rock physics and rheology parameters directly reflect different tectonic positions (such as orogenic belts and extensional centers) and different stratum rock compositions (such as the wet quartz parameter system represents the siliceous and aluminous upper crust, etc.). The rock physics and rheology parameters that meet the rift-passive continental margin are strictly selected according to the geography, tectonic position and deep crust-mantle structure of the study area to ensure that the simulation results are more in line with the actual geological conditions of the study area.

[0073]

[0074] The finite difference numerical simulation method is adopted, and based on the visco-elastic-plastic two-dimensional model of the Stokes equations and nonlinear rheological equations, the equations of conservation of matter, momentum and energy are iteratively solved in seconds to obtain the calculation results of the lithospheric temperature, viscosity, stress distribution, strain rate, terrain undulation and so on at different times. By controlling the output frequency of the simulation results, continuous simulation results of different factors are obtained, and finally the whole process of rift-passive margin development and evolution is dynamically displayed.

[0075] The extensional deformation of the lithosphere is essentially formed by the combined influence of various single factors. Therefore, we first conduct a systematic numerical simulation of single influencing factors such as crust thickness, temperature structure, material composition, extension rate, and extension direction. Combined with the numerical simulation results, a quantitative model of the effects of the above single factors on the morphology, scale, and type of rift-passive margin basins is established.

[0076] S102, establishing two comprehensive indicators of lithosphere strength and crust-mantle coupling degree to perform data simulation on the influence model of different main controlling single influencing factors.

[0077] The integration of different single factors ultimately reflects the strength profile of the lithosphere. Define the total lithosphere strength σ e The integration of the lithosphere differential stress in its depth domain integrates and simplifies the complex multi-physical factors, and macroscopically regards the lithosphere strength as the essential difference between different lithospheres; defines the lithosphere crust-mantle coupling coefficient Co c The brittle layer and the entire lithosphere L litho The thickness ratio of the lithospheric layer is used to illustrate the relationship between lithospheric stratification and coupling at a small scale.

[0078]

[0079]

[0080] Based on the single factor simulation results and relationship models, various influencing factors are adjusted comprehensively according to the actual geological conditions to determine the σ e and Co c Two parameter values, the system is carried out with σ e and Co c The comprehensive, multi-factor numerical simulation is the main variable. Combined with the simulation results, a quantitative model of the two parameters of the rift-passive margin assemblage morphology, tectonic evolution characteristics, sedimentary filling pattern, etc. is established, and finally the control of the lithospheric strength and the degree of crust-mantle coupling on the basin type is determined.

[0081] S103, by comparing the actual passive continental margin basin data with the numerical simulation results, determine the influence of two comprehensive indicators, lithospheric strength and crust-mantle coupling degree, on the basin structure and their control on the basin type.

[0082] According to the research needs, for specific rift-passive continental margin basin cases, the basin structure, basement morphology and deep structural characteristics of the corresponding basin can be revealed through basin-scale seismic profile interpretation and other geological and geophysical data. By comparing the comprehensive and multi-factor numerical simulation results, the index values ​​of the lithospheric strength and the degree of crust-mantle coupling that meet the above characteristics of the basin can be obtained, and then the underlying lithospheric strength characteristics of the basin can be intuitively obtained. Based on the basement lithology, structural attributes, age and geothermal gradient data collected in the early stage of the basin, the strength of the pre-rift basement of the basin can be roughly determined, and the authenticity and accuracy of the numerical simulation results can be verified.

[0083] By comparing the actual passive continental margin basin cases with the numerical simulation results, the influence of two comprehensive indicators, lithospheric strength and crust-mantle coupling degree, on the basin structure and the control effect on the basin type are determined, forming a one-to-one correspondence between different basin types and lithospheric strength indicators. Based on the above relationship, combined with the constraints of other geological and geophysical data, the reasonable distribution range and combination characteristics of the basement strength attributes and other single influencing factors can be inferred through the relevant characteristics of the passive continental margin basin, so as to finally realize the prediction function of the basement and lithosphere thermodynamic properties of the passive continental margin basin on the passive continental margin morphology, basin structure and type.

[0084] Taking the Congo Basin and Campos Basin in the passive continental margin of the central South Atlantic as examples, we first collected and sorted out the basic rock physics and rheology parameter data of the two basins, including the previously published two-dimensional seismic, geological profiles, wave velocity data, rock physics experimental results and other parameters, and interpreted the basement pre-rift attribute data that conforms to the two basins, including the crust thickness h, the rheological properties of each layer, density ρ, and friction coefficient f. s , tension rate v and base age (Table 1), all of which are basic data for the initial establishment of the numerical model. Figure 2 Provides constraints.

[0085] Table 1 Basement property parameters of the Congo Basin and Campos Basin in the South Atlantic passive continental margin

[0086]

[0087] The rheological properties of the lithosphere are determined by multiple basic single physical factors, among which the regular changes of a single factor will lead to significant differences in the characteristics of a certain aspect of the passive continental margin. Based on the results of the previous data collection, due to certain errors in human interpretation, it is necessary to use the above-mentioned physical factors as single variables X i, other parameters are constantized according to actual data, and systematic numerical simulation experiments are carried out to eliminate the influence of errors. In addition, due to the lack of some data in different basin examples, some single factors cannot be obtained, such as the pre-rift temperature structure of the two basins mentioned above. For this factor, it is necessary to determine its reasonable value through single-factor numerical simulation.

[0088] like Figure 3 As shown in Figure 2, based on the results of the single-factor numerical simulation experiment and the richness of the basin basic data, the main controlling single physical factor of the basin formation and evolution can be determined. For the Congo Basin and Campos Basin, the main controlling single factor is the pre-rift lithospheric temperature structure T. Different temperature structures will lead to the thickness of the potential slip layer H between the crust-mantle and the upper and lower crust. detach The temperature structure of the model is set as the surface temperature T s Fixed to 25°C, the asthenosphere top temperature T a The Moho surface temperature T is fixed at 1300 °C. moho The simulation results reveal that the higher the temperature, the easier it is to stretch, the thicker the slip layer, the smaller the upper plate block, and the greater the distance the rift center migrates from the axis. Integrating all the numerical simulation results of this single factor can establish a control model of the temperature structure on the above factors, such as Figure 4 shown.

[0089] For the Congo Basin and Campos Basin, the main controlling factor of their development and evolution is the temperature structure before the rifting of the lithosphere. Therefore, different temperature structures will lead to different values ​​of lithosphere strength and crust-mantle coupling indexes. Other influencing factors can be obtained through geological, geophysical data and experimental results to obtain relatively reasonable data. According to the single-factor numerical simulation results, through the definition and formula of lithosphere strength and crust-mantle coupling,

[0090]

[0091]

[0092] like Figure 5 As shown, the possible distribution range of the two indicators can be determined, among which the total strength of the lithosphere is and the distribution of the degree of crust-mantle coupling is shown in Table 2:

[0093] Table-2 Distribution of total lithosphere strength and crust-mantle coupling degree of the model with temperature as the main control variable

[0094]

[0095] A systematic numerical simulation was conducted around the two indicators. By adjusting various parameters (the main control factors can be adjusted significantly, and other factors are fine-tuned around the reference values), the total strength of the lithosphere was controlled within 1.5-2.5×10 13 Nm -1 Within this range, the degree of crust-mantle coupling is controlled within the range of 60% to 100%. Figure 6 Within the above range, through systematic numerical simulation experiments, regular and full-time numerical simulation results are obtained, revealing the simulation results of temperature, structural deformation and strain rate of lithosphere with different properties during the rifting process.

[0096] like Figure 7 , compared with the passive continental margin basin examples (Congo Basin and Campos Basin in the middle of the South Atlantic) and the numerical simulation results, the strength characteristics of the underlying lithospheric basement were verified. The comparison results revealed that the Congo Basin in the South Atlantic has a larger upper plate block than the Campos Basin, and the extension center has migrated a longer distance, indicating that the overall strength of the Congo continental margin in the South Atlantic is higher than 1.92×10 13 Nm -1 The degree of crust-mantle coupling is also higher than 83.6%, and overall it is stronger and more coupled than the Campos margin.

[0097] (7) Determine the controlling effect of lithosphere strength on basin types. Lithosphere with relatively low overall strength and low degree of crust-mantle coupling often forms gently sloping terrain and small upper plate faults during the extension process due to the action of deep thick detachment layers. The large-scale off-axis migration distance of the extension center is controlled by the detachment, which leads to the development of large-scale passive continental margin tectonic belts (including necking belts, hyperextension belts, etc.). For the two passive continental margin basins in the central part of the South Atlantic, temperature is the main controlling factor that determines the difference in their development and evolution. The temperature structure of the lithosphere before the rift of the Congo Basin is relatively low, while the temperature structure of the Campos Basin is relatively higher. The difference in paleotemperature structure may depend on the different distances from the southern hotspot before the rift, such as Figure 8 described.

[0098] The present application example first organizes the rock physics experimental results and rheological property parameters for the research object, determines the constraint conditions by interpreting the geological and geophysical data, and uses the finite difference numerical simulation method to conduct a single factor numerical simulation experiment to clarify the reasonable range and main controlling factors of each parameter. Then, by defining the lithosphere strength (Co c ) and the degree of crust-mantle coupling (σ e) are used to describe the lithospheric strength structure, and a multi-factor simulation experiment is conducted around the two indicators. Finally, the actual basin case is compared to verify the underlying lithospheric basement strength characteristics, and the controlling effect of the lithospheric strength structure on the development and evolution of the passive continental margin is determined. The present invention can dynamically restore the development history of the rift-passive continental margin based on limited geological and geophysical data. The finite difference numerical simulation method is used to accurately characterize the geological characteristics and tectonic-sedimentary evolution laws of the rift-passive continental margin, achieve a quantitative evaluation of the lithospheric extension process, guide the basin type classification, tectonic zone definition, tectonic style distribution analysis and source and reservoir distribution prediction, and lay the foundation for clarifying the oil and gas distribution laws of related basins.

[0099] Corresponding to the rift-passive continental margin evolution method provided in the above embodiment, the present application also provides an embodiment of a rift-passive continental margin evolution device.

[0100] See also Fig. 9 The rift-passive continental margin evolution device 20 in this embodiment includes:

[0101] The determination module 201 is used to determine the main single influencing factor affecting the rift-passive continental margin and establish an influence model of the main single influencing factor on the development and evolution of the basin.

[0102] The model building module 202 is used to establish two comprehensive indicators, namely, the lithospheric strength and the degree of crust-mantle coupling, to simulate the influence model of different main controlling single influencing factors.

[0103] The processing module 203 is used to determine the influence of two comprehensive indicators, namely, lithospheric strength and crust-mantle coupling degree, on the basin structure and the control effect on the basin type by comparing the actual passive continental margin basin data with the numerical simulation results.

[0104] Corresponding to the above embodiment, an embodiment of the present application further provides an electronic device.

[0105] See also Fig.10 , is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Fig.10 As shown, the electronic device 300 may include: a processor 301, a memory 302 and a communication unit 303. These components communicate through one or more buses. Those skilled in the art can understand that the electronic device structure shown in the figure does not constitute a limitation on the embodiments of the present application. It can be a bus structure or a star structure, and can also include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0106] The communication unit 303 is used to establish a communication channel so that the electronic device can communicate with other devices.

[0107] The processor 301 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. It runs or executes software programs and / or modules stored in the memory 302, and calls data stored in the memory to perform various functions of the electronic device and / or process data. The processor can be composed of an integrated circuit (IC), for example, it can be composed of a single packaged IC, or it can be composed of multiple packaged ICs with the same or different functions. For example, the processor 301 can include only a central processing unit (CPU). In the embodiment of the present application, the CPU can be a single computing core or multiple computing cores.

[0108] The memory 302 is used to store the execution instructions of the processor 301. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0109] When the execution instructions in the memory 302 are executed by the processor 301 , the electronic device 300 is enabled to execute part or all of the steps in the above method embodiment.

[0110] Corresponding to the above embodiment, the embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium may store a program, wherein when the program is running, the device where the computer-readable storage medium is located may be controlled to perform some or all of the steps in the above method embodiment. In a specific implementation, the computer-readable storage medium may be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0111] Corresponding to the above-mentioned embodiment, the embodiment of the present application further provides a computer program product, which includes executable instructions. When the executable instructions are executed on a computer, the computer executes some or all of the steps in the above-mentioned method embodiment.

[0112] In the embodiments of the present application, "at least one" refers to one or more, and "plurality" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and subsequent associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0113] Those of ordinary skill in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented in a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0114] In several embodiments provided in the present application, any function can be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., and other media that can store program codes.

[0115] The above is only a specific implementation of the present application. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. The protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A rift-passive continental margin evolution method, characterized in that: include: Determine the main single influencing factor affecting the rift-passive continental margin and establish a model for the impact of the main single influencing factor on basin development and evolution; Two comprehensive indicators, namely, lithospheric strength and crust-mantle coupling, are established to simulate the influence model of different main controlling single influencing factors; By comparing the actual passive continental margin basin data with the numerical simulation results, the influence of two comprehensive indicators, lithospheric strength and crust-mantle coupling degree, on the basin structure and their control on the basin type are determined.

2. The rift-passive continental margin evolution method according to claim 1, characterized in that: The determining of the main controlling single influencing factor affecting the rift-passive continental margin and establishing a model for the influence of the main controlling single influencing factor on the development and evolution of the basin include: Collect and organize crustal physics, rock physics and rheology data from around the world to determine the single influencing factors; Performing data simulation for the single influencing factor; The main controlling single influencing factor is determined based on the data simulation and a model for the influence of the main controlling single influencing factor on the development and evolution of the basin is established.

3. The rift-passive continental margin evolution method according to claim 2, characterized in that: The data simulation for the single influencing factor includes: The yield strength |σ1-σ3| model and toughness model are determined. The yield strength |σ1-σ3| model is: Where C is the lithospheric cohesion strength, fs is the friction coefficient, λ is the pore pressure coefficient, The toughness model is: Among them, A D is the exponential coefficient, n is the exponent, E a is the activation energy, V a is the activation volume; Finite difference numerical simulation method is used, based on the viscoelastic-elastic two-dimensional model of Stokes equations and nonlinear rheological equations, to iteratively solve the material conservation, momentum conservation and energy conservation equations in seconds, and obtain the calculation results of lithosphere temperature, viscosity, stress distribution, strain rate, terrain undulation, etc. at different times; By controlling the output frequency of simulation results, continuous simulation results of different factors are obtained to dynamically display the entire process of rift-passive margin development and evolution.

4. The rift-passive continental margin evolution method according to claim 3, characterized in that: Determine the main controlling single influencing factor based on the data simulation and establish the influence model of the main controlling single influencing factor on the basin development and evolution, including: Firstly, a systematic numerical simulation of the influencing factors of the main control unit is carried out; Combined with the numerical simulation results, a quantitative model of the main controlling factors on the morphology, scale and type of rift-passive margin basins is established.

5. The rift-passive continental margin evolution method according to claim 1, characterized in that: The establishment of two comprehensive indicators, namely, lithospheric strength and crust-mantle coupling, to simulate data on the influence model of different main controlling single influencing factors includes: Define the lithosphere strength σ e is the integral of the lithosphere differential stress in its depth domain: Define the lithospheric crust-mantle coupling coefficient Co c The brittle layer and the entire lithosphere L litho Thickness ratio: On the basis of the single factor simulation results and the relationship model, according to the actual geological conditions, the main controlling single influencing factors are comprehensively adjusted to determine the σ e and Co c Two parameter values; The system is carried out with σ e and Co c It is a comprehensive, multi-factor numerical simulation of the main variables; Combined with the simulation results, a quantitative model of the morphology, structural evolution characteristics, and sedimentary filling patterns of the two-parameter syn-rift-passive margin assemblage was established; Finally, the controlling effects of lithospheric strength and crust-mantle coupling on basin types are determined.

6. The rift-passive continental margin evolution method according to claim 1, characterized in that: The comparison between the actual passive continental margin basin data and the numerical simulation results includes: For specific rift-passive continental margin basin cases, the basin structure, basement morphology and deep structural characteristics of the corresponding basin are obtained through basin-scale seismic profile interpretation and other geological and geophysical data; By comparing the comprehensive and multi-factor numerical simulation results, we obtain the index values ​​of lithospheric strength and crust-mantle coupling degree that are consistent with the above characteristics of the basin; The strength of the basin's pre-rift basement is determined based on the basement lithology, structural attributes, age, and geothermal gradient data collected in the early stages of the basin.

7. The rift-passive continental margin evolution method according to claim 6, characterized in that: Also includes: Combined with the constraints of other geological and geophysical data, the reasonable distribution range and combination characteristics of the basement strength attributes and other single influencing factors are inferred through the relevant characteristics of the passive continental margin basin, thereby realizing the prediction function of the thermodynamic properties of the basement and lithosphere of the passive continental margin basin on the passive continental margin morphology, basin structure and type.

8. A rift-passive continental margin evolution device, characterized in that: include: A determination module is used to determine the main single influencing factor affecting the rift-passive continental margin and establish an influence model of the main single influencing factor on the development and evolution of the basin; A model building module is used to establish two comprehensive indicators, namely, lithospheric strength and crust-mantle coupling degree, to simulate the influence model of different main controlling single influencing factors; The processing module is used to determine the influence of two comprehensive indicators, namely, lithospheric strength and crust-mantle coupling degree, on the basin structure and their control on the basin type by comparing the actual passive continental margin basin data with the numerical simulation results.

9. An electronic device, characterized in that: include: processor; Memory; And a computer program, wherein the computer program is stored in the memory, and the computer program includes instructions, and when the instructions are executed by the processor, the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

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