Carbon sequestration geological exploration method and device, storage medium and electronic equipment

Abstract

The embodiment of the invention provides a carbon sequestration geological exploration method and device, a storage medium and electronic equipment, and the method comprises the steps: carrying out the three-dimensional reservoir modeling of a carbon sequestration region according to the three-dimensional geophysical prospecting data of a target resolution of the carbon sequestration region, so as to obtain a three-dimensional model of the carbon sequestration region; performing carbon dioxide migration numerical simulation based on a migration rule of supercritical carbon dioxide and the three-dimensional model to obtain a distribution condition of the supercritical carbon dioxide in the carbon sequestration area; and according to the distribution condition, a target horizon is determined in the carbon sequestration area, and the target horizon is the horizon where the supercritical carbon dioxide is injected.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of carbon dioxide storage, in particular, to a carbon storage geological exploration method and device, a storage medium and an electronic device. BACKGROUND

[0002] With the urgent demand of the world for reducing greenhouse gas emissions, the geological carbon storage (GCS) technology as a key link of carbon capture, utilization and storage (CCUS) has been widely studied and applied. The basic principle of GCS technology is to inject the industrial emissions of carbon dioxide (CO2) into the underground reservoir in a supercritical state, and to realize the long-term storage of CO2 by using the physical and chemical properties of the reservoir. However, the injection and safety of the reservoir are two important factors to determine the success of the GCS project, which are directly related to the injection efficiency of CO2, the storage capacity of the reservoir and the long-term stability of the environment.

[0003] However, in the related art, the stratum suitable for CO2 storage is determined according to artificial experience, resulting in low accuracy and confirmation efficiency.

[0004] In view of the problem in the related art that the stratum suitable for CO2 storage is determined according to artificial experience, resulting in low accuracy and confirmation efficiency, no effective solution has been proposed so far.

[0005] Therefore, it is necessary to improve the related art to overcome the defects in the related art. SUMMARY

[0006] The embodiments of the present application provide a carbon storage geological exploration method and device, a storage medium and an electronic device to at least solve the problem in the related art that the stratum suitable for CO2 storage is determined according to artificial experience, resulting in low accuracy and confirmation efficiency.

[0007] According to an embodiment of the present application, a carbon storage geological exploration method is provided, comprising: performing three-dimensional reservoir modeling on a carbon storage area according to three-dimensional geophysical prospecting data of a target resolution of the carbon storage area, to obtain a three-dimensional model of the carbon storage area; performing carbon dioxide migration numerical simulation based on the migration law of supercritical carbon dioxide and the three-dimensional model, to obtain the distribution of the supercritical carbon dioxide in the carbon storage area; and determining a target layer in the carbon storage area according to the distribution, wherein the target layer is a layer for injecting the supercritical carbon dioxide.

[0008] In an example embodiment, before the three-dimensional reservoir modeling of the carbon storage region according to the three-dimensional geophysical data of the carbon storage region at the target resolution, the method further comprises: obtaining original state information of different layers of the carbon storage region and state information of the different layers of the carbon storage region after injection of supercritical carbon dioxide, wherein the original state information comprises original fluid volume, original pressure and original temperature, and the state information comprises fluid volume, pressure and temperature; determining migration rules of the supercritical carbon dioxide at different layers according to the original state information and the state information, wherein the migration rules of the supercritical carbon dioxide comprise migration rules of the supercritical carbon dioxide at different layers.

[0009] In an example embodiment, the three-dimensional reservoir modeling of the carbon storage region according to the three-dimensional geophysical data of the carbon storage region at the target resolution comprises: obtaining physical property parameters, chemical property parameters, mechanical property parameters and fluid characteristic parameters of cores of different layers of the carbon storage region, wherein the physical property parameters are parameters obtained by physical property testing of the cores, the chemical property parameters are parameters obtained by chemical property testing of the cores, the mechanical property parameters are parameters obtained by mechanical property testing of the cores, and the fluid characteristic parameters are parameters obtained by fluid characteristic testing of the cores; and performing the three-dimensional reservoir modeling of the carbon storage region according to the physical property parameters, the chemical property parameters, the mechanical property parameters and the fluid characteristic parameters of the cores of different layers of the carbon storage region and the three-dimensional geophysical data at the target resolution.

[0010] In an example embodiment, the three-dimensional reservoir modeling of the carbon storage region according to the three-dimensional geophysical data of the carbon storage region at the target resolution comprises: obtaining microstructures of rocks and micro behaviors of fluids of different layers of the carbon storage region; determining flow characteristics of the fluids in pores of the rocks according to the microstructures and the micro behaviors; and performing the three-dimensional reservoir modeling of the carbon storage region according to the flow characteristics and the three-dimensional geophysical data of the carbon storage region at the target resolution.

[0011] In an example embodiment, the determination of the target layer in the carbon storage region according to the distribution comprises: determining a saturation distribution map, a pressure distribution map and a temperature distribution map of the supercritical carbon dioxide in the carbon storage region; performing sensitivity analysis on pressure and temperature of different layers in the carbon storage region to determine influence information of the pressure and the temperature on the storage effect of the supercritical carbon dioxide at different layers; and determining the target layer in the carbon storage region according to the saturation distribution map, the pressure distribution map, the temperature distribution map and the influence information.

[0012] According to another embodiment of the present application, a carbon sequestration geological exploration device is provided, comprising: a modeling module configured to perform three-dimensional reservoir modeling on a carbon sequestration region according to three-dimensional geophysical prospecting data of a target resolution of the carbon sequestration region, to obtain a three-dimensional model of the carbon sequestration region; a simulation module configured to perform carbon dioxide migration numerical simulation based on a migration rule of supercritical carbon dioxide and the three-dimensional model, to obtain a distribution of the supercritical carbon dioxide in the carbon sequestration region; and a determination module configured to determine a target horizon in the carbon sequestration region according to the distribution, wherein the target horizon is a horizon for injecting the supercritical carbon dioxide.

[0013] In one example embodiment, the determination module is further configured to obtain original state information of different horizons of the carbon sequestration region and state information of the different horizons of the carbon sequestration region after injection of the supercritical carbon dioxide, wherein the original state information comprises original fluid volume, original pressure and original temperature, and the state information comprises fluid volume, pressure and temperature; and determine the migration rule of the supercritical carbon dioxide in the different horizons according to the original state information and the state information, wherein the migration rule of the supercritical carbon dioxide comprises migration rules of the supercritical carbon dioxide in the different horizons.

[0014] According to yet another embodiment of the present application, a computer readable storage medium is provided, wherein the computer readable storage medium stores a computer program, and the computer program is configured to perform the steps in any of the method embodiments described above when executed.

[0015] According to yet another embodiment of the present application, an electronic device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to perform the steps in any of the method embodiments described above.

[0016] According to yet another embodiment of the present application, a computer program product is provided, comprising a computer program, wherein the computer program is executed by a processor to implement the steps in any of the method embodiments described above.

[0017] According to the three-dimensional geophysical prospecting data of the carbon storage area with a target resolution, a three-dimensional reservoir model of the carbon storage area is modeled to obtain a three-dimensional model of the carbon storage area; based on the migration law of supercritical carbon dioxide and the three-dimensional model, carbon dioxide migration numerical simulation is performed to obtain the distribution of the supercritical carbon dioxide in the carbon storage area; and a target horizon is determined in the carbon storage area according to the distribution, wherein the target horizon is a horizon for injecting the supercritical carbon dioxide. In the embodiment of the present application, the three-dimensional geophysical prospecting data is converted into a reservoir model, and then numerical simulation technology is used to predict the underground distribution of supercritical carbon dioxide, and finally the optimal supercritical carbon dioxide injection horizon is determined. Therefore, the problem that the stratum suitable for being a CO2 storage horizon is determined according to artificial experience, resulting in low accuracy and confirmation efficiency, can be solved. BRIEF DESCRIPTION OF DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and serve to explain the principles of the present application together with the specification.

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the accompanying drawings needed to be used in the embodiments or related art description will be briefly introduced. Obviously, for those skilled in the art, other drawings can also be obtained based on these drawings without creative labor.

[0020] Figure 1 is a hardware structure block diagram of a computer device of a carbon storage geological exploration method according to an embodiment of the present application;

[0021] Figure 2 is a flowchart of a carbon storage geological exploration method according to an embodiment of the present application;

[0022] Figure 3 is a structure block diagram of a carbon storage geological exploration device according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] Hereinafter, the embodiments of the present application will be described in detail with reference to the accompanying drawings and in conjunction with the embodiments.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence.

[0025] The method embodiments provided in the embodiments of the present application can be executed in a computer device or a similar computing device. Taking the case of running on a computer device, Figure 1This is a hardware structure block diagram of a computer device for a carbon sequestration geological exploration method according to an embodiment of this application. Figure 1 As shown, a computer device may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor or programmable logic device) and a memory 104 for storing data are also shown. The computer device may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the computer device described above. For example, the computer device may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0026] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the carbon sequestration geological exploration method in this embodiment. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thus implementing the aforementioned method. The memory 104 may include high-speed random access memory and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to computer devices via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0027] The transmission device 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider for the computer equipment. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module used for wireless communication with the Internet.

[0028] This embodiment provides a method for geological exploration of carbon sequestration. Figure 2 This is a flowchart of a carbon sequestration geological exploration method according to an embodiment of this application, such as... Figure 2 As shown, the process includes the following steps:

[0029] Step S202, three-dimensional reservoir modeling of the carbon sequestration area according to three-dimensional geophysical data of the carbon sequestration area with a target resolution, to obtain a three-dimensional model of the carbon sequestration area;

[0030] Step S202 is based on high-resolution three-dimensional geophysical data of the carbon sequestration area. The target resolution generally refers to the minimum scale that can capture the internal structure and property changes of the reservoir in detail, such as 50 meters or less. Three-dimensional geophysical data, including seismic, gravity, magnetic, electromagnetic, etc., are used to build a three-dimensional geological model of the carbon sequestration area. Such a model not only includes structural information of the strata, such as stratum interface, lithology distribution, fracture system and fault location, but also contains physical properties of the reservoir, such as porosity, permeability and saturation.

[0031] Step S204, numerical simulation of carbon dioxide migration based on the migration law of supercritical carbon dioxide and the three-dimensional model, to obtain the distribution of supercritical carbon dioxide in the carbon sequestration area;

[0032] Based on the three-dimensional reservoir model, numerical simulation is conducted in combination with the migration law of supercritical CO2. The migration of supercritical CO2 in underground reservoirs involves complex physical and chemical processes, including multiphase flow dynamics, interaction between rock structure and fluid, fluid state changes under the influence of temperature and pressure, etc. Numerical simulation technology can simulate the distribution and migration of CO2 in the reservoir by discretizing and numerically solving the fluid dynamics equation set. Step S204 can ensure the accuracy of model parameters and the rationality of simulation conditions, so as to obtain reliable CO2 distribution results. Through numerical simulation, the CO2 movement trajectory, pressure distribution, saturation change, etc. under different injection strategies can be predicted.

[0033] Step S206, determining a target horizon in the carbon sequestration area according to the distribution, wherein the target horizon is a horizon for injecting the supercritical carbon dioxide.

[0034] According to the CO2 distribution obtained by numerical simulation, the physical and chemical properties of the reservoir, the long-term stability of CO2 sequestration, and the impact on environmental safety are considered to determine the most suitable formation as the target horizon. The selection of the target horizon should be based on the evaluation of the spatial distribution and migration efficiency of CO2 in the reservoir, and the horizons with the best porosity and permeability, good storage capacity, stable rock structure and low leakage risk are preferred.

[0035] Through the above steps, the carbon storage area is three-dimensionally modeled according to three-dimensional geophysical prospecting data of the carbon storage area at a target resolution of the carbon storage area, to obtain a three-dimensional model of the carbon storage area; numerical simulation of migration of supercritical carbon dioxide is performed based on a migration rule of the supercritical carbon dioxide and the three-dimensional model, to obtain a distribution of the supercritical carbon dioxide in the carbon storage area; and a target horizon is determined in the carbon storage area according to the distribution, wherein the target horizon is a horizon for injecting the supercritical carbon dioxide. In the embodiments of the present application, the three-dimensional geophysical prospecting data is converted into a reservoir model, and then numerical simulation technology is used to predict the underground distribution of supercritical carbon dioxide, so that the optimal supercritical carbon dioxide injection horizon is finally determined. Therefore, the problem that the stratum suitable for being a CO2 storage horizon is determined according to artificial experience, resulting in low accuracy and confirmation efficiency, can be solved.

[0036] In one example embodiment, before the carbon storage area is three-dimensionally modeled according to three-dimensional geophysical prospecting data of the carbon storage area at a target resolution of the carbon storage area, the method further comprises: obtaining original state information of different horizons of the carbon storage area and state information of the different horizons of the carbon storage area after supercritical carbon dioxide is injected, wherein the original state information comprises original fluid volume, original pressure and original temperature, and the state information comprises fluid volume, pressure and temperature; and determining a migration rule of the supercritical carbon dioxide at different horizons according to the original state information and the state information, wherein the migration rule of the supercritical carbon dioxide comprises a migration rule of the supercritical carbon dioxide at different horizons.

[0037] Before a geological carbon storage project is implemented, it is crucial to understand the original state information of different horizons of a carbon storage area. The original state information mainly comprises original fluid volume (stock of in-situ fluid), original pressure (initial pressure of the stratum) and original temperature (initial temperature of the stratum). The original fluid volume determines the fluid space in the reservoir that can be replaced by CO2, while the original pressure and temperature affect the state and flowability of supercritical CO2.

[0038] The state information after supercritical CO2 is injected comprises changes in fluid volume, pressure and temperature, which reflect the influence of CO2 injection on the reservoir environment. For example, the injection of CO2 can reduce the fluid volume of the reservoir, while because of the high density characteristics of CO2, it can have a significant impact on the pressure of the reservoir, and the injection of CO2 can also cause changes in the temperature of the reservoir.

[0039] Based on the original state information and the state information, the migration law of supercritical CO2 in different layers can be analyzed and determined. This includes the injection rate of CO2, the distribution pattern, the pressure change trend, the temperature response, and the interaction mechanism with reservoir rocks and fluids. By comparing the state information before and after injection, the degree of influence of CO2 on the reservoir environment can be quantified, such as the change of CO2 saturation, the evolution of pressure gradient, the distribution of temperature field, etc.

[0040] The determination of migration law is achieved by comparing and analyzing the changes of fluid volume, pressure and temperature in different layers. For example, the change of fluid volume can reveal the amount of CO2 replacement, and the change of pressure and temperature can reflect the physical and chemical effects caused by CO2 injection. These information will be used to adjust the parameters in the three-dimensional reservoir model, to ensure that the numerical simulation can accurately reflect the migration characteristics of CO2.

[0041] By collecting and analyzing the original state information and the state information after injecting CO2 in different layers of the carbon sequestration area, the migration law of supercritical CO2 can be determined more accurately, which provides key data for reservoir modeling and numerical simulation, and ensures the scientific decision-making and effective implementation of geological carbon sequestration projects.

[0042] In one example embodiment, three-dimensional reservoir modeling of a carbon sequestration area according to three-dimensional geophysical data of a target resolution of the carbon sequestration area includes: obtaining physical property parameters, chemical property parameters, mechanical property parameters, and fluid characteristic parameters of cores in different layers of the carbon sequestration area, wherein the physical property parameters are parameters obtained by physical property testing of the cores, the chemical property parameters are parameters obtained by chemical property testing of the cores, the mechanical property parameters are parameters obtained by mechanical property testing of the cores, and the fluid characteristic parameters are parameters obtained by fluid characteristic testing of the cores; and performing three-dimensional reservoir modeling of the carbon sequestration area according to the physical property parameters, the chemical property parameters, the mechanical property parameters, and the fluid characteristic parameters of the cores in different layers of the carbon sequestration area and the three-dimensional geophysical data of the target resolution.

[0043] Physical property parameters: including porosity, permeability, pore throat size distribution, density of cores, etc., which reflect the pore space and fluid flow path inside the rock.

[0044] Chemical property parameters: analyzing the mineral composition, chemical composition of the rock, and the interaction ability of the rock and fluid (such as CO2).

[0045] Mechanical property parameters: determining the elasticity, plasticity, strength and fracture characteristics of the rock, understanding the response of the reservoir under pressure change, and ensuring the geological stability during the sequestration process.

[0046] Fluid property parameters: the flow behavior of the test fluid (such as water, oil, gas) in the rock, including the viscosity, compressibility, wettability with the rock, etc.

[0047] According to the three-dimensional geophysical data of the carbon sequestration area and the above core test parameters, a three-dimensional reservoir model is constructed. The three-dimensional geophysical data (such as seismic data) provides the macrostructure and continuity information of the reservoir, including the depth, thickness, inclination, location of faults and fractures, etc. of the stratum. By combining these macrostructure information with the microscopic property parameters obtained by core test, the model can more accurately reflect the true state of the reservoir, including its heterogeneity and complex fluid dynamics behavior.

[0048] Spatial matching and scale conversion of core test parameters and three-dimensional geophysical data ensure reasonable distribution of microscopic property parameters in the three-dimensional model.

[0049] Using professional geology modeling software such as Petrel, GEMSuite, etc., input the data into the model, perform three-dimensional grid division, define rock properties including porosity, permeability, saturation, etc., and fluid properties such as density, viscosity, etc.

[0050] By comparing the model prediction with the field monitoring data (such as production data, pressure test results) or historical geological data, the accuracy and reliability of the model are verified, which may need multiple iterations and parameter adjustments.

[0051] Through the above examples, three-dimensional reservoir modeling can comprehensively reflect the geological, physical and chemical properties of the reservoir, and provide a fine, high-resolution model framework for subsequent fluid dynamics simulation and reservoir performance evaluation.

[0052] In one exemplary embodiment, a three-dimensional reservoir model of a carbon sequestration area is constructed according to three-dimensional geophysical data of the carbon sequestration area with a target resolution, including: obtaining the microstructure of the rock and the microbehavior of the fluid of different layers of the carbon sequestration area; determining the flow characteristics of the fluid in the pores of the rock according to the microstructure and the microbehavior; constructing a three-dimensional reservoir model of the carbon sequestration area according to the flow characteristics and three-dimensional geophysical data of the carbon sequestration area with a target resolution.

[0053] Obtaining rock microstructure and fluid microbehavior usually involves laboratory tests and microscopic imaging techniques. Core samples or rock samples are taken from different layers of the carbon storage area, and microscopic imaging techniques such as scanning electron microscopy, focused ion beam, X-ray computed tomography, etc. are used to obtain the microscopic pore structure information of the rock, including pore shape, pore size distribution, pore connectivity, etc. At the same time, through fluid saturation experiments, pore fluid dynamics experiments, etc. on rock samples, the flow behavior of fluid (such as supercritical CO2) in rock pores can be studied, including fluid adsorption, desorption, capillary effect, and fluid-rock interface interaction, etc.

[0054] Based on the above microstructure and microbehavior data, the flow characteristics of fluid in rock pores can be further analyzed and determined. These characteristics include permeability, porosity, fluid saturation, fluid viscosity, diffusion coefficient, etc.

[0055] On the basis of obtaining fluid flow characteristics, combined with high-resolution three-dimensional geophysical prospecting data of the carbon storage area, three-dimensional reservoir modeling is carried out. Three-dimensional geophysical prospecting data provide information on the macrostructure of the reservoir, including stratigraphic interface, lithology distribution, fracture system and fault location, etc.; while fluid flow characteristic data provide details of the micro-pore structure and fluid flow behavior of the reservoir. Combining these micro and macro information, a high-precision three-dimensional reservoir model can be constructed, which can reflect the heterogeneity and complexity of the reservoir, including lithology change, fracture distribution, pore network structure, etc.

[0056] The embodiments of the present application start from two dimensions of micro and macro, ensuring that the reservoir model contains both microstructure information of the rock and reflects the macro geological characteristics of the reservoir. The three-dimensional reservoir model established in this way is closer to the actual geological environment.

[0057] In one example embodiment, determining a target layer in the carbon storage area according to the distribution includes: determining a target layer in the carbon storage area according to a saturation distribution map, a pressure distribution map, and a temperature distribution map of the supercritical carbon dioxide in the carbon storage area; performing sensitivity analysis on the pressure and temperature of different layers in the carbon storage area to determine influence information of the pressure and temperature on the storage effect of supercritical carbon dioxide in different layers; and determining a target layer in the carbon storage area according to the saturation distribution map, the pressure distribution map, the temperature distribution map, and the influence information.

[0058] The saturation distribution map shows the distribution state of supercritical CO2 in different layers of the carbon storage area, including the volume percentage of CO2 occupying the reservoir pores.

[0059] The pressure distribution map reflects the pressure change in the reservoir due to CO2 injection, including the pressure gradient and pressure distribution law of different layers.

[0060] Temperature distribution maps show the temperature changes within the reservoir during CO2 injection, which affect the state of CO2, i.e., supercritical, liquid, or gaseous, thereby influencing its mobility and distribution within the reservoir.

[0061] By varying the pressure and temperature parameters in the model, researchers can observe changes in CO2 distribution, pressure distribution, and temperature distribution, and how these changes affect the saturation, mobility, and long-term storage capacity of CO2 in the reservoir.

[0062] Combining the saturation distribution maps, pressure distribution maps, temperature distribution maps, and the conclusions of the sensitivity analysis, a comprehensive evaluation of different horizons can be made to identify the most suitable formation as the target horizon. An ideal target horizon should have high CO2 saturation, a stable pressure-temperature environment, and storage characteristics that are not sensitive to changes in pressure and temperature, ensuring the safe and effective long-term storage of CO2.

[0063] The reservoir model constructed from high-resolution 3D geophysical data and CO2 migration numerical simulation can provide detailed information on the distribution of CO2 within the reservoir, allowing for more accurate target horizon selection.

[0064] Sensitivity analysis helps identify which horizons may be more sensitive to changes in pressure and temperature, effectively controlling various risks during geological storage, such as overpressure and leakage.

[0065] Considering the distribution of CO2 and the sensitivity of the storage horizons, scientific basis is provided for the planning, design, and implementation of geological storage projects, ensuring the sustainability and reliability of CO2 geological storage technology.

[0066] To better understand the process of the above-mentioned carbon storage geological exploration method, the implementation method and process of the above-mentioned carbon storage geological exploration are described in combination with optional embodiments below, but not used to limit the technical solutions of the embodiments of the present application.

[0067] A carbon storage geological exploration method is provided in this embodiment, as follows:

[0068] 1. High-precision CO2 migration numerical simulation technology. Based on high-resolution 3D geophysical data, high-precision depiction and fine modeling with a unit size of ≤50m are combined with the characteristics of stratigraphic lateral heterogeneity and the migration rules of supercritical CO2 to form a full-stratigraphic-scale reservoir injectivity evaluation technology.

[0069] 2. Multi-scale reservoir evaluation technology such as production test, core test, and experimental test. Based on core data and well logging data, considering factors such as porosity and permeability and fracture distribution, a single "layer" scale storage reservoir evaluation technology is formed.

[0070] Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be realized by means of software on a general hardware platform as necessary, and of course, can also be realized by hardware, but in many cases, the former is a better implementation. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product in essence or in the form of a part of related technology. The computer software product is stored in a storage medium (such as a ROM / RAM, a magnetic disk, or an optical disk), and includes a plurality of instructions for causing a terminal device (which can be a mobile phone, a computer, a server, or a network device) to execute the method described in each embodiment of the present application.

[0071] In the present embodiment, a carbon sequestration geological exploration device is also provided, which is used to implement the above embodiments and preferred embodiments, and will not be described again. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, implementation of hardware, or a combination of software and hardware, is also possible and contemplated.

[0072] Figure 3 is a structural block diagram of a carbon sequestration geological exploration device according to an embodiment of the present application, as shown in Figure 3 , the device comprises:

[0073] a modeling module 32, configured to perform three-dimensional reservoir modeling on the carbon sequestration area according to three-dimensional geophysical prospecting data of the carbon sequestration area with a target resolution, to obtain a three-dimensional model of the carbon sequestration area;

[0074] a simulation module 34, configured to perform numerical simulation of carbon dioxide migration based on migration rules of supercritical carbon dioxide and the three-dimensional model, to obtain a distribution of the supercritical carbon dioxide in the carbon sequestration area;

[0075] a determination module 36, configured to determine a target horizon in the carbon sequestration area according to the distribution, wherein the target horizon is a horizon for injecting the supercritical carbon dioxide.

[0076] The device is used for obtaining three-dimensional reservoir modeling of the carbon storage area according to three-dimensional geophysical prospecting data of the carbon storage area with a target resolution of the carbon storage area, so as to obtain a three-dimensional model of the carbon storage area; performing numerical simulation of carbon dioxide migration based on a migration rule of supercritical carbon dioxide and the three-dimensional model, so as to obtain a distribution of the supercritical carbon dioxide in the carbon storage area; and determining a target horizon in the carbon storage area according to the distribution, wherein the target horizon is a horizon for injecting the supercritical carbon dioxide. In the embodiment, the three-dimensional geophysical prospecting data is converted into a reservoir model, and then numerical simulation technology is used to predict the underground distribution of the supercritical carbon dioxide, so that the optimal supercritical carbon dioxide injection horizon is determined, and thus the problem that the stratum suitable for being a CO2 storage horizon is determined according to artificial experience, resulting in low accuracy and confirmation efficiency, can be solved.

[0077] In an example embodiment, the determining module 36 is further configured to: obtain original state information of different horizons of the carbon storage area and state information of the different horizons of the carbon storage area after supercritical carbon dioxide is injected, wherein the original state information includes original fluid volume, original pressure and original temperature, and the state information includes fluid volume, pressure and temperature; and determine a migration rule of the supercritical carbon dioxide in the different horizons according to the original state information and the state information, wherein the migration rule of the supercritical carbon dioxide includes a migration rule of the supercritical carbon dioxide in the different horizons.

[0078] In an example embodiment, the modeling module 32 is configured to: obtain physical property parameters, chemical property parameters, mechanical property parameters and fluid characteristic parameters of cores of different horizons of the carbon storage area, wherein the physical property parameters are parameters obtained by performing physical property testing on the cores, the chemical property parameters are parameters obtained by performing chemical property testing on the cores, the mechanical property parameters are parameters obtained by performing mechanical property testing on the cores, and the fluid characteristic parameters are parameters obtained by performing fluid characteristic testing on the cores; and perform three-dimensional reservoir modeling of the carbon storage area according to the physical property parameters, the chemical property parameters, the mechanical property parameters and the fluid characteristic parameters of the cores of the different horizons of the carbon storage area and the three-dimensional geophysical prospecting data with the target resolution.

[0079] In an example embodiment, the modeling module 32 is configured to: obtain microstructures of rocks and micro behaviors of fluids of different horizons of the carbon storage area; determine flow characteristics of the fluids in pores of the rocks according to the microstructures and the micro behaviors; and perform three-dimensional reservoir modeling of the carbon storage area according to the flow characteristics and the three-dimensional geophysical prospecting data with the target resolution of the carbon storage area.

[0080] In an example embodiment, the determining module 36 is configured to: perform a sensitivity analysis on the pressure and temperature of different layers in the carbon storage region according to the saturation distribution map, the pressure distribution map and the temperature distribution map of the supercritical carbon dioxide in the carbon storage region, to determine influence information of evaluating the effects of the pressure and temperature on the storage of supercritical carbon dioxide in different layers; and determine a target layer in the carbon storage region according to the saturation distribution map, the pressure distribution map, the temperature distribution map and the influence information.

[0081] It should be noted that the above modules can be implemented by software or hardware, and for the latter, the implementation can be achieved by the following ways, but is not limited thereto: all the above modules are located in the same processor; or the above modules are located in different processors in any combination.

[0082] Embodiments of the present application also provide a computer readable storage medium, which stores a computer program, and the computer program is configured to execute the steps in any of the above method embodiments when running.

[0083] Optionally, in the present embodiment, the above storage medium can be configured to store program codes for executing the following steps:

[0084] S1, performing three-dimensional reservoir modeling on the carbon storage region according to three-dimensional geophysical prospecting data of the carbon storage region with a target resolution of the carbon storage region, to obtain a three-dimensional model of the carbon storage region;

[0085] S2, performing carbon dioxide migration numerical simulation based on the migration law of supercritical carbon dioxide and the three-dimensional model, to obtain a distribution of the supercritical carbon dioxide in the carbon storage region;

[0086] S3, determining a target layer in the carbon storage region according to the distribution, wherein the target layer is a layer for injecting the supercritical carbon dioxide.

[0087] In an example embodiment, the above computer readable storage medium can include, but is not limited to: a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store computer programs.

[0088] Embodiments of the present application also provide an electronic device, which includes a memory storing a computer program and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.

[0089] In an example embodiment, the electronic device further comprises a transmission device connected to the processor and an input / output device connected to the processor.

[0090] Optionally, in the embodiment, the processor is configured to execute the following steps by using a computer program:

[0091] S1, performing three-dimensional reservoir modeling on the carbon storage area according to three-dimensional geophysical prospecting data of a target resolution of the carbon storage area to obtain a three-dimensional model of the carbon storage area;

[0092] S2, performing carbon dioxide migration numerical simulation based on a migration rule of supercritical carbon dioxide and the three-dimensional model to obtain a distribution of the supercritical carbon dioxide in the carbon storage area;

[0093] S3, determining a target horizon in the carbon storage area according to the distribution, wherein the target horizon is a horizon for injecting the supercritical carbon dioxide.

[0094] Embodiments of the present application also provide a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the steps in any of the method embodiments.

[0095] Embodiments of the present application also provide another computer program product, which comprises a non-volatile computer readable storage medium, and the non-volatile computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps in any of the method embodiments.

[0096] Embodiments of the present application also provide a computer program, which comprises computer instructions stored in a computer readable storage medium; a processor of a computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to enable the computer device to perform the steps in any of the method embodiments.

[0097] Optionally, in the embodiment, the processor is configured to execute the following steps by using a computer program:

[0098] S1, performing three-dimensional reservoir modeling on the carbon storage area according to three-dimensional geophysical prospecting data of a target resolution of the carbon storage area to obtain a three-dimensional model of the carbon storage area;

[0099] S2, performing carbon dioxide migration numerical simulation based on a migration rule of supercritical carbon dioxide and the three-dimensional model to obtain a distribution of the supercritical carbon dioxide in the carbon storage area;

[0100] S3, determining a target horizon in the carbon storage area according to the distribution, wherein the target horizon is a horizon for injecting the supercritical carbon dioxide.

[0101] The specific examples in the embodiments can refer to the examples described in the above embodiments and exemplary embodiments, and the embodiments will not be described herein again.

[0102] Obviously, those skilled in the art should understand that the modules or steps of the present application described above can be realized by general computing devices, which can be concentrated on a single computing device or distributed on a network composed of multiple computing devices, and can be realized by program codes executable by the computing devices, so that they can be stored in storage devices and executed by the computing devices, and in some cases, the steps shown or described can be executed in different order, or they can be manufactured into individual integrated circuit modules, or multiple modules or steps can be manufactured into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.

[0103] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Those skilled in the art can make various modifications and changes to the present application. Any modification, equivalent replacement, improvement, etc. within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for geological exploration of carbon sequestration, characterized in that, include: Three-dimensional reservoir modeling of the carbon sequestration region is performed based on the three-dimensional geophysical data of the carbon sequestration region at the target resolution to obtain the three-dimensional model of the carbon sequestration region. Numerical simulations of carbon dioxide transport were performed based on the transport patterns of supercritical carbon dioxide and the three-dimensional model to obtain the distribution of supercritical carbon dioxide in the carbon sequestration region. Based on the distribution, a target layer is determined in the carbon sequestration region, wherein the target layer is the layer in which the supercritical carbon dioxide is injected.

2. The method according to claim 1, characterized in that, Before performing three-dimensional reservoir modeling of the carbon sequestration region based on the target resolution three-dimensional geophysical data of the carbon sequestration region, the method further includes: The original state information of different layers in the carbon sequestration region and the state information of different layers in the carbon sequestration region after injection of supercritical carbon dioxide are obtained. The original state information includes: original fluid volume, original pressure and original temperature. The migration patterns of supercritical carbon dioxide in different strata are determined based on the original state information and the state information, wherein the migration patterns of supercritical carbon dioxide include the migration patterns of supercritical carbon dioxide in different strata.

3. The method according to claim 1, characterized in that, Three-dimensional reservoir modeling of the carbon sequestration region is performed based on the target resolution three-dimensional geophysical data of the carbon sequestration region, including: Physical property parameters, chemical property parameters, mechanical property parameters, and fluid characteristic parameters of cores from different strata in the carbon sequestration region are obtained. The physical property parameters are obtained by physical property testing of the cores, the chemical property parameters are obtained by chemical property testing of the cores, the mechanical property parameters are obtained by mechanical property testing of the cores, and the fluid characteristic parameters are obtained by fluid characteristic testing of the cores. Three-dimensional reservoir modeling of the carbon sequestration area is performed based on the physical, chemical, mechanical, and fluid properties of core samples from different strata within the carbon sequestration area, and the three-dimensional geophysical data at the target resolution.

4. The method according to claim 1, characterized in that, Three-dimensional reservoir modeling of the carbon sequestration region is performed based on the target resolution three-dimensional geophysical data of the carbon sequestration region, including: The microstructure of rocks and the micro-behavior of fluids in different strata of the carbon sequestration region were obtained; The flow characteristics of the fluid in the pores of the rock are determined based on the microstructure and the microbehavior. Three-dimensional reservoir modeling of the carbon sequestration region is performed based on the flow characteristics and the target resolution three-dimensional geophysical data of the carbon sequestration region.

5. The method according to claim 1, characterized in that, Based on the distribution, target layers are determined in the carbon sequestration region, including: Based on the saturation distribution map, pressure distribution map, and temperature distribution map of the supercritical carbon dioxide in the carbon sequestration region; Sensitivity analysis was performed on the pressure and temperature of different layers in the carbon sequestration region to determine the impact of the pressure and temperature on the supercritical carbon dioxide sequestration effect of different layers. The target layer is determined in the carbon sequestration region based on the saturation distribution map, pressure distribution map, temperature distribution map, and the influence information.

6. A carbon sequestration geological exploration device, characterized in that, include: The modeling module is used to perform three-dimensional reservoir modeling of the carbon sequestration area based on the three-dimensional geophysical data of the carbon sequestration area at the target resolution, so as to obtain a three-dimensional model of the carbon sequestration area. The simulation module is used to perform numerical simulation of carbon dioxide transport based on the transport law of supercritical carbon dioxide and the three-dimensional model, so as to obtain the distribution of supercritical carbon dioxide in the carbon sequestration region. A determination module is used to determine a target layer in the carbon sequestration region based on the distribution, wherein the target layer is the layer where the supercritical carbon dioxide is injected.

7. The apparatus according to claim 6, characterized in that, include: The determining module is further configured to acquire the original state information of different layers in the carbon sequestration region and the state information of different layers in the carbon sequestration region after the injection of supercritical carbon dioxide, wherein the original state information includes: original fluid volume, original pressure and original temperature, and the state information includes: fluid volume, pressure and temperature; and to determine the migration pattern of supercritical carbon dioxide in different layers based on the original state information and the state information, wherein the migration pattern of supercritical carbon dioxide includes: the migration pattern of supercritical carbon dioxide in different layers.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein the program, when executed, performs the method of any one of claims 1 to 5.

9. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to execute the method of any one of claims 1 to 5 through the computer program.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 5.

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