A method for constructing a core mineral component model and a related device

Abstract

This invention discloses a method and related apparatus for constructing a core mineral composition model. The method includes: cutting the core into thin-slice samples and plunger-shaped samples; testing the thin-slice and plunger-shaped samples to obtain the two-dimensional mineral composition and distribution information of the thin-slice samples, and the voxel density distribution model and voxel photoelectric factor distribution model of the plunger-shaped samples; establishing a correspondence between core minerals and the ranges of voxel density and voxel photoelectric factor values; using the correspondence as a constraint to classify the voxels in the core; and constructing a core mineral composition model based on the mineral classification results. The constructed core mineral composition model is realistic and accurate, avoiding the adverse effects of subjective human factors and solving the shortcomings of traditional construction methods, such as missing mineral types, unclear mineral type differentiation, and difficulty in distinguishing minerals with similar densities.

Description

Technical Field

[0001] This invention relates to the field of oil and gas field exploration and development technology, and in particular to a method and related apparatus for constructing a core mineral composition model. Background Technology

[0002] In the field of oil and gas field exploration and development technology, rock mechanics and acoustic property simulation is of great significance for geophysical exploration, rock physics research and engineering fracturing design. Its simulation method is mainly based on the constructed digital three-dimensional model of the rock core.

[0003] Traditional methods for constructing digital core models have drawbacks compared to real cores. These include fewer mineral types, unclear mineral differentiation, and difficulty in distinguishing minerals with similar densities. Furthermore, the models are subject to subjective interpretation in terms of mineral composition and distribution, resulting in poor realism and accuracy. Simulations using these models cannot accurately reflect the mechanical and acoustic properties of real oil and gas reservoirs, leading to limited practical application and failing to meet the needs of actual exploration and development.

[0004] Therefore, there is an urgent need for a method to construct a detailed and realistic three-dimensional digital mineral composition model of rock cores, thereby improving the accuracy of rock mechanics and acoustic simulations and providing reliable support for exploration and development optimization. Summary of the Invention

[0005] In view of the above problems, the purpose of this invention is to provide a method and related apparatus for constructing a core mineral composition model.

[0006] In a first aspect, embodiments of the present invention provide a method for constructing a core mineral composition model, comprising:

[0007] The core is cut at a predetermined cross-sectional position to obtain a sheet-like sample and a plunger-like sample. The first cross-section of the sheet-like sample and the second cross-section of the plunger-like sample are mirror images of each other.

[0008] Mineral testing and analysis are performed on the first cross section of the sheet-like sample. Based on the results of the mineral testing and analysis, two-dimensional mineral composition and distribution information on the first cross section of the sheet-like sample are obtained.

[0009] The plunger-shaped sample was subjected to computed tomography (CT) scan, and based on the CT scan results, a voxel density distribution model and a voxel photoelectric factor distribution model of the plunger-shaped sample were constructed.

[0010] Based on the two-dimensional mineral composition and distribution information on the first cross section of the sheet-like sample, and the voxel density distribution model and voxel photoelectric factor distribution model of the plunger-shaped sample, the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the first cross section are determined.

[0011] Based on the range of voxel density values ​​corresponding to each mineral on the first cross section, determine the correspondence between each mineral contained in the core and the range of voxel density values.

[0012] Based on the range of voxel photoelectric factor values ​​corresponding to each mineral on the first cross section, determine the correspondence between each mineral contained in the core and the range of voxel photoelectric factor values.

[0013] Based on the correspondence between each mineral contained in the core and the range of voxel density and voxel photoelectric factor values, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plunger sample, the core mineral composition model is constructed.

[0014] In one embodiment, determining the range of voxel density values ​​and voxel photoelectric factor values ​​for each mineral on the first cross section based on the two-dimensional mineral composition and distribution information on the first cross section of the sheet-like sample, and the voxel density distribution model and voxel photoelectric factor distribution model of the plunger-shaped sample, includes:

[0015] Based on the voxel density distribution model and voxel photoelectric factor distribution model of the plunger-shaped sample, the voxel density distribution information and voxel photoelectric factor distribution information on the second cross section of the plunger-shaped sample are obtained.

[0016] The first cross section and the second cross section are superimposed so that the superimposed first cross section and the second cross section coincide; the voxel density values ​​and voxel photoelectric factor values ​​corresponding to different types of minerals on the superimposed first cross section and the second cross section are determined;

[0017] Based on the voxel density values ​​and voxel photoelectric factor values ​​corresponding to different types of minerals on the first and second cross sections after superposition, the range of voxel density values ​​and voxel photoelectric factor values ​​corresponding to each mineral within the range of the first and second cross sections are statistically analyzed.

[0018] In one embodiment, constructing the core mineral composition model based on the correspondence between each mineral contained in the core and the ranges of voxel density and voxel photoelectric factors, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plunger sample, includes:

[0019] Based on the voxel density distribution model and voxel photoelectric factor distribution model of the plunger-shaped sample, the voxel density distribution information and voxel photoelectric factor distribution information of the voxels in the three-dimensional volume of the plunger-shaped sample are obtained.

[0020] Based on the voxel density distribution information and voxel photoelectric factor distribution information of the voxels in the three-dimensional volume of the plunger-shaped sample, the mineral type corresponding to all voxels in the three-dimensional volume of the plunger-shaped sample is determined by the correspondence between each mineral contained in the core and the range of voxel density values, and the correspondence between each mineral contained in the core and the range of voxel photoelectric factor values.

[0021] Based on the mineral types corresponding to all voxels in the three-dimensional volume of the plunger-shaped sample, the core mineral composition model is constructed.

[0022] In one embodiment, the mineral testing and analysis of the sheet-like sample is performed using scanning electron microscopy.

[0023] In one embodiment, the computed tomography scan is performed using dual-energy X-ray computed tomography.

[0024] Secondly, embodiments of the present invention provide a method for simulating rock properties, comprising:

[0025] Construct a core mineral composition model;

[0026] The core mineral composition model is used to simulate the mechanical or acoustic properties of rocks.

[0027] The steps for constructing a core mineral composition model are achieved through the core mineral composition model construction method described above.

[0028] Thirdly, embodiments of the present invention provide an apparatus for constructing a rock mineral composition model, comprising:

[0029] The sample preparation module is used to cut the rock core at a preset cross-sectional position to obtain a sheet-like sample and a plunger-like sample, wherein the first cross-section of the sheet-like sample and the second cross-section of the plunger-like sample are mirror images of each other.

[0030] The testing module is used to perform mineral testing and analysis on the first cross section of the sheet-like sample, and obtain two-dimensional mineral composition and distribution information on the first cross section of the sheet-like sample based on the mineral testing and analysis results; and to perform computed tomography on the plunger-like sample, and construct a voxel density distribution model and a voxel photoelectric factor distribution model of the plunger-like sample based on the computed tomography results.

[0031] The correspondence determination module is used to determine the range of voxel density values ​​and voxel photoelectric factor values ​​corresponding to each mineral on the first cross section based on the two-dimensional mineral composition and distribution information on the first cross section of the sheet-like sample, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plunger-shaped sample; to determine the correspondence between each mineral contained in the core and the range of voxel density values ​​based on the range of voxel density values ​​corresponding to each mineral on the first cross section; and to determine the correspondence between each mineral contained in the core and the range of voxel photoelectric factor values ​​based on the range of voxel photoelectric factor values ​​corresponding to each mineral on the first cross section.

[0032] The model building module is used to construct the mineral composition model of the core based on the correspondence between each mineral contained in the core and the range of voxel density values ​​and the range of voxel photoelectric factor values, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plunger sample.

[0033] Fourthly, embodiments of the present invention provide a device for simulating rock properties, comprising:

[0034] The building block is used to construct core mineral composition models;

[0035] The simulation module is used to simulate the mechanical or acoustic properties of rocks using the core mineral composition model; the steps of constructing the core mineral composition model are achieved through the core mineral composition model construction method described above.

[0036] Fifthly, embodiments of the present invention provide a computing device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the aforementioned method for constructing a core mineral composition model, or implements the aforementioned method for simulating rock properties.

[0037] In a sixth aspect, embodiments of the present invention provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned method for constructing a core mineral composition model or the aforementioned method for simulating rock properties.

[0038] The beneficial effects of the above-described technical solutions provided in the embodiments of the present invention include at least the following:

[0039] The method and apparatus for constructing the core mineral composition model provided in this invention are based on real field-sampled core samples. Experiments are conducted using these real core samples, and a core mineral composition model is constructed based on the experimental results and a preset construction method. The core mineral composition model constructed in this invention is more realistic and accurate, avoiding the adverse effects of subjective human factors in traditional construction methods. The mineral types, components, and distribution information contained in the core mineral composition model constructed in this invention match the real core better, solving the shortcomings of traditional construction methods such as missing mineral types, unclear mineral type differentiation, and difficulty in distinguishing minerals with similar densities (compared to real core samples).

[0040] Furthermore, in the embodiment of the present invention, dual-energy X-ray computed tomography (DXT) is used to perform computed tomography on the plunger-shaped sample obtained by cutting the core. That is, two different energies, high and low, are used to scan the plunger-shaped sample, which can more accurately classify the mineral types of the plunger-shaped sample.

[0041] The rock property simulation method provided in this embodiment of the invention is based on the mineral group model obtained by the core mineral component model construction method provided in this embodiment of the invention. By conducting simulation tests on the rock mechanical properties or rock acoustic properties, it is possible to more accurately and effectively predict the mechanical and acoustic characteristics of the real core in the reservoir, thereby optimizing reservoir evaluation and engineering scheme design, increasing oilfield production and bringing better economic benefits.

[0042] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0043] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0044] Figure 1 This is a flowchart of the method for constructing a rock mineral composition model in an embodiment of the present invention;

[0045] Figure 2 This is a schematic diagram of the core cutting method in an embodiment of the present invention;

[0046] Figure 3 Images showing the mineral components and their distribution in embodiments of the present invention;

[0047] Figure 4 This is a voxel density distribution model in an embodiment of the present invention;

[0048] Figure 5 This is the voxel photoelectric factor distribution model in the embodiments of the present invention;

[0049] Figure 6 This illustrates the correspondence between the range of core mineral density values ​​and the range of voxel photoelectric factor values ​​in embodiments of the present invention.

[0050] Figure 7 This is a core mineral composition model in an embodiment of the present invention;

[0051] Figure 8 This is a flowchart illustrating the implementation method for constructing a core mineral composition model in this embodiment of the invention.

[0052] Figure 9 This is a flowchart of a method for simulating rock properties in an embodiment of the present invention;

[0053] Figure 10 This is a schematic diagram of the apparatus for constructing a core mineral composition model in an embodiment of the present invention;

[0054] Figure 11 This is a schematic diagram of a device for simulating rock properties in an embodiment of the present invention. Detailed Implementation

[0055] This invention provides a method and related apparatus for constructing a core mineral composition model. Although exemplary embodiments of this disclosure are shown in the accompanying drawings, it should be understood that this disclosure can be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of this disclosure and to fully convey the scope of this disclosure to those skilled in the art.

[0056] This invention provides a method for constructing a core mineral composition model, referring to... Figure 1 As shown, the method includes the following steps:

[0057] S11. Cut the core at the preset cross-sectional position to obtain a sheet-like sample and a plunger-like sample. The first cross-section of the sheet-like sample and the second cross-section of the plunger-like sample are mirror images of each other.

[0058] S12. Perform mineral testing and analysis on the first cross section of the sheet-like sample. Based on the mineral testing and analysis results, obtain the two-dimensional mineral composition and distribution information on the first cross section of the sheet-like sample. Perform computed tomography on the plunger-like sample. Based on the computed tomography results, construct the voxel density distribution model and voxel photoelectric factor distribution model of the plunger-like sample.

[0059] S13. Based on the two-dimensional mineral composition and distribution information on the first cross section of the sheet-like sample, and the voxel density distribution model and voxel photoelectric factor distribution model of the plunger-shaped sample, determine the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the first cross section; based on the range of voxel density values ​​corresponding to each mineral on the first cross section, determine the correspondence between each mineral contained in the core and the range of voxel density values; based on the range of voxel photoelectric factor values ​​corresponding to each mineral on the first cross section, determine the correspondence between each mineral contained in the core and the range of voxel photoelectric factor values.

[0060] S14. Based on the correspondence between each mineral contained in the core and the range of voxel density and voxel photoelectric factor values, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plunger sample, construct a core mineral composition model.

[0061] In step S11 above, the obtained sheet-like sample should be suitable for mineral testing and analysis, and the obtained plunger-shaped sample should be suitable for computed tomography (CT) scanning. The first cross-section of the sheet-like sample and the second cross-section of the plunger-shaped sample are obtained by cutting the core at a predetermined cross-sectional position. The core cutting method is as follows: Figure 2 As shown, the first and second cross sections are mirror images of each other, which ensures the consistency of mineral types, compositions, and distribution characteristics on the first and second cross sections.

[0062] In step S12 above, for example, scanning electron microscopy is used to test the first cross-section of the thin-film sample. In this embodiment of the invention, the mineral composition and distribution image on the first cross-section obtained by the test is referenced. Figure 3 As shown. From Figure 3 This method can not only obtain information on the types and contents of different minerals on the first cross section, but also on the distribution information of different minerals on the first cross section.

[0063] For example, a plunger-shaped sample can be scanned using both high and low energy X-ray computed tomography (CT) systems. Based on the dual-energy scanning results, the density and photoelectric factor values ​​of each voxel in the three-dimensional volume of the plunger-shaped sample can be calculated, thereby constructing a voxel density distribution model and a voxel photoelectric factor distribution model for the plunger-shaped sample. In this embodiment of the invention, the constructed voxel density distribution model refers to... Figure 4 As shown, the constructed voxel photoelectric factor distribution model refers to Figure 5 As shown. From Figure 4 and Figure 5 In the image, the distribution of voxel density and voxel photoelectric factor in the three-dimensional volume of the plunger-shaped sample can be seen intuitively.

[0064] In step S13 above, the range of voxel density values ​​and voxel photoelectric factor values ​​corresponding to each mineral contained in the three-dimensional volume of the core are determined by using the mineral composition and distribution image on the first cross section, as well as the voxel distribution model and voxel photoelectric factor distribution model of the plunger sample.

[0065] First, the range of voxel density values ​​and voxel photoelectric factor values ​​for each mineral on the first cross section are determined using the following method. For example, the voxel density distribution model of a plunger-shaped sample is taken out ( Figure 4 The second section in ) and the voxel photoelectric factor distribution model ( Figure 5 The first section (containing mineral composition and distribution information) and the second section (containing voxel density distribution information) are then superimposed, as are the first section (containing mineral composition and distribution information) and the second section (containing voxel photoelectric factor distribution information). This yields the voxel density values ​​and voxel photoelectric factor values ​​corresponding to different types of minerals on the superimposed first and second sections. Furthermore, the ranges of voxel density values ​​and voxel photoelectric factor values ​​for each mineral within the first and second sections are statistically determined. The range of voxel density values ​​for each mineral is the interval between the minimum and maximum voxel density values, and the range of voxel photoelectric factor values ​​is the interval between the minimum and maximum voxel photoelectric factor values. The ranges of voxel density values ​​and voxel photoelectric factor values ​​for each mineral within the first and second sections are shown in Table 1. Table 1 lists the minimum, maximum, and average voxel density values ​​and voxel photoelectric factor values ​​for each of the six mineral types.

[0066] Table 1

[0067]

[0068] Then, based on the range of voxel density values ​​and voxel photoelectric factor values ​​for each mineral within the first and second cross sections, the range of voxel density values ​​and voxel photoelectric factor values ​​for each mineral within the three-dimensional volume of the core are determined.

[0069] In this embodiment of the invention, the range of voxel density values ​​corresponding to each mineral on the first cross section is determined as the correspondence between the range of voxel density values ​​for each mineral and the range of voxel density values ​​in the three-dimensional volume of the core; the range of voxel photoelectric factor values ​​corresponding to each mineral on the first cross section is also determined as the correspondence between the range of voxel photoelectric factor values ​​for each mineral and the range of voxel photoelectric factor values ​​in the three-dimensional volume of the core. Therefore, once the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the first cross section are obtained, the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral in the three-dimensional volume of the core are determined. In this embodiment of the invention, the correspondence between the minerals contained in the core and the range of voxel density values ​​and the range of voxel photoelectric factor values ​​is obtained by referring to... Figure 6 As shown, from Figure 6 The data shows all voxel density values ​​within the range corresponding to each mineral contained in the core, as well as all voxel photoelectric factor values ​​within the range corresponding to each mineral.

[0070] In step S14 above, firstly, based on the correspondence between each mineral contained in the core and the range of voxel density values ​​determined in step S13, and combined with the voxel density distribution model of the plunger sample, the mineral type corresponding to the voxel density values ​​of all voxels in the three-dimensional volume of the plunger sample can be determined; based on the correspondence between each mineral contained in the core and the range of voxel photoelectric factor values ​​determined in step S13, and combined with the voxel photoelectric factor distribution model of the plunger sample, the mineral type corresponding to the voxel photoelectric factor values ​​of all voxels in the three-dimensional volume of the plunger sample can be determined; using the mineral type corresponding to the voxel density values ​​of all voxels in the three-dimensional volume of the plunger sample and the mineral type corresponding to the voxel photoelectric factor values ​​of all voxels as common constraints, the mineral type of all voxels in the plunger sample is classified, and finally the mineral type corresponding to all voxels in the three-dimensional volume of the plunger sample is determined.

[0071] Then, based on the mineral types corresponding to all voxels in the determined three-dimensional volume of the plunger-shaped sample, a core mineral composition model can be constructed. For example, the core mineral composition model constructed in this embodiment of the invention refers to... Figure 7 As shown, from Figure 7 The core sample contains information such as the types, composition, and distribution of minerals. The mineral composition model constructed here is actually a mineral composition model of the plunger-shaped sample.

[0072] In summary, the specific implementation method for constructing the above-mentioned core mineral composition model can be found in the following process. Figure 8As shown, core samples were obtained from real oil and gas reservoirs, and experimental tests were conducted on the core samples, including mineral testing and analysis, and computed tomography (CT) scans. Based on the experimental results, the ranges of voxel density values ​​and voxel photoelectric factor values ​​corresponding to different minerals in the three-dimensional volume of the core were determined using a pre-defined method. Using these ranges as constraints, the voxels in the core were classified into mineral types, and a core mineral composition model was constructed based on the classification results. The constructed core mineral composition model clearly defines the mineral types, making the model more realistic and reliable.

[0073] This invention provides a method for simulating rock properties, referring to... Figure 9 As shown, the method includes the following steps:

[0074] S91. Construct a core mineral composition model;

[0075] S92. Apply the core mineral composition model to simulate the rock mechanical properties or rock acoustic properties; the step of constructing the core mineral composition model is achieved by the core mineral composition model construction method described above.

[0076] Based on the aforementioned core mineral composition model, rock mechanical properties or rock acoustic properties can be simulated, which can accurately reflect the mechanical or acoustic properties of reservoirs in real oil and gas reservoirs and can well meet the needs of actual exploration and development applications.

[0077] Based on the same inventive concept, this embodiment of the invention also provides a device for constructing a rock mineral composition model. Since the principle of the problem solved by this device is similar to the aforementioned method for constructing a rock mineral composition model, the implementation of this device can refer to the implementation of the aforementioned method, and the repeated parts will not be described again.

[0078] This invention provides an apparatus for constructing a rock mineral composition model, referring to... Figure 10 As shown, it includes:

[0079] The sample preparation module 101 is used to cut the rock core at a preset cross-sectional position to obtain a sheet-like sample and a plunger-like sample. The first cross-section of the sheet-like sample and the second cross-section of the plunger-like sample are mirror images of each other.

[0080] Test module 102 is used to perform mineral testing and analysis on the first cross section of the sheet-like sample, and obtain two-dimensional mineral composition and distribution information on the first cross section of the sheet-like sample based on the mineral testing and analysis results; and to perform computed tomography on the plunger-like sample, and construct a voxel density distribution model and a voxel photoelectric factor distribution model of the plunger-like sample based on the computed tomography results.

[0081] The correspondence determination module 103 is used to determine the range of voxel density values ​​and voxel photoelectric factor values ​​corresponding to each mineral on the first cross section based on the two-dimensional mineral composition and distribution information on the first cross section of the thin-film sample, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plunger sample; to determine the correspondence between each mineral contained in the core and the range of voxel density values ​​based on the range of voxel density values ​​corresponding to each mineral on the first cross section; and to determine the correspondence between each mineral contained in the core and the range of voxel photoelectric factor values ​​based on the range of voxel photoelectric factor values ​​corresponding to each mineral on the first cross section.

[0082] The model building module 104 is used to build a core mineral composition model based on the correspondence between each mineral contained in the core and the range of voxel density values ​​and the range of voxel photoelectric factor values, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plunger sample.

[0083] Based on the same inventive concept, this embodiment of the invention also provides a rock property simulation device. Since the principle of the problem solved by this device is similar to that of the aforementioned rock property simulation device, the implementation of this device can refer to the implementation of the aforementioned method, and the repeated parts will not be described again.

[0084] This invention provides a device for simulating rock properties, with reference to... Figure 11 As shown, it includes:

[0085] Module 111 is used to build a core mineral composition model;

[0086] The simulation module 112 is used to simulate the mechanical or acoustic properties of rocks by applying a core mineral composition model; the steps of constructing the core mineral composition model are achieved through the core mineral composition model construction method described above.

[0087] This invention provides a computing device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the method for constructing a core mineral composition model as described above, or the method for simulating rock properties as described above.

[0088] This invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the method for constructing a core mineral composition model as described above, or the method for simulating rock properties as described above.

[0089] Obviously, those skilled in the art can make various modifications to this invention without departing from its spirit and scope. Therefore, if these modifications fall within the scope of the claims and their equivalents, this invention is also intended to include these modifications.

Claims

1. A method for constructing a core mineral composition model, characterized in that, include: The core is cut at a predetermined cross-sectional position to obtain a sheet-like sample and a plunger-like sample. The first cross-section of the sheet-like sample and the second cross-section of the plunger-like sample are mirror images of each other. Mineral testing and analysis are performed on the first cross section of the sheet-like sample. Based on the results of the mineral testing and analysis, two-dimensional mineral composition and distribution information on the first cross section of the sheet-like sample are obtained. The plunger-shaped sample was subjected to computed tomography (CT) scan, and based on the CT scan results, a voxel density distribution model and a voxel photoelectric factor distribution model of the plunger-shaped sample were constructed. Based on the two-dimensional mineral composition and distribution information on the first cross section of the sheet-like sample, and the voxel density distribution model and voxel photoelectric factor distribution model of the plunger-shaped sample, the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the first cross section are determined. Based on the range of voxel density values ​​corresponding to each mineral on the first cross section, determine the correspondence between each mineral contained in the core and the range of voxel density values. Based on the range of voxel photoelectric factor values ​​corresponding to each mineral on the first cross section, determine the correspondence between each mineral contained in the core and the range of voxel photoelectric factor values. Based on the correspondence between each mineral contained in the core and the range of voxel density and voxel photoelectric factor values, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plunger sample, the core mineral composition model is constructed.

2. The method as described in claim 1, characterized in that, The step of determining the range of voxel density values ​​and voxel photoelectric factor values ​​for each mineral on the first cross section based on the two-dimensional mineral composition and distribution information on the first cross section of the sheet-like sample, and the voxel density distribution model and voxel photoelectric factor distribution model of the plunger-shaped sample, includes: Based on the voxel density distribution model and voxel photoelectric factor distribution model of the plunger-shaped sample, the voxel density distribution information and voxel photoelectric factor distribution information on the second cross section of the plunger-shaped sample are obtained. The first cross section and the second cross section are superimposed so that the superimposed first cross section and the second cross section coincide; the voxel density values ​​and voxel photoelectric factor values ​​corresponding to different types of minerals on the superimposed first cross section and the second cross section are determined; Based on the voxel density values ​​and voxel photoelectric factor values ​​corresponding to different types of minerals on the first and second cross sections after superposition, the range of voxel density values ​​and voxel photoelectric factor values ​​corresponding to each mineral within the range of the first and second cross sections are statistically analyzed.

3. The method as described in claim 1 or 2, characterized in that, The process of constructing a core mineral composition model based on the correspondence between each mineral contained in the core and the ranges of voxel density and voxel photoelectric factors, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plunger sample, includes: Based on the voxel density distribution model and voxel photoelectric factor distribution model of the plunger-shaped sample, the voxel density distribution information and voxel photoelectric factor distribution information of the voxels in the three-dimensional volume of the plunger-shaped sample are obtained. Based on the voxel density distribution information and voxel photoelectric factor distribution information of the voxels in the three-dimensional volume of the plunger-shaped sample, the mineral type corresponding to all voxels in the three-dimensional volume of the plunger-shaped sample is determined by the correspondence between each mineral contained in the core and the range of voxel density values, and the correspondence between each mineral contained in the core and the range of voxel photoelectric factor values. Based on the mineral types corresponding to all voxels in the three-dimensional volume of the plunger-shaped sample, a core mineral composition model is constructed.

4. The method as described in claim 1, characterized in that, The mineral testing and analysis of the sheet-like sample were performed using scanning electron microscopy.

5. The method as described in claim 1, characterized in that, The computed tomography scan used was dual-energy X-ray computed tomography.

6. A method for simulating rock properties, characterized in that, include: Construct a core mineral composition model; The core mineral composition model is used to simulate the mechanical or acoustic properties of rocks. The steps of constructing the core mineral composition model are achieved by the method for constructing the core mineral composition model as described in any one of claims 1-5.

7. A device for constructing a core mineral composition model, characterized in that, include: The sample preparation module is used to cut the rock core at a preset cross-sectional position to obtain a sheet-like sample and a plunger-like sample, wherein the first cross-section of the sheet-like sample and the second cross-section of the plunger-like sample are mirror images of each other. The testing module is used to perform mineral testing and analysis on the first cross section of the sheet-like sample, and to obtain two-dimensional mineral composition and distribution information on the first cross section of the sheet-like sample based on the testing and analysis results. The plunger-shaped sample was subjected to computed tomography (CT) scan, and based on the CT scan results, a voxel density distribution model and a voxel photoelectric factor distribution model of the plunger-shaped sample were constructed. The correspondence determination module is used to determine the range of voxel density values ​​and voxel photoelectric factor values ​​corresponding to each mineral on the first cross section based on the two-dimensional mineral composition and distribution information on the first cross section of the sheet-like sample, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plunger-shaped sample; to determine the correspondence between each mineral contained in the core and the range of voxel density values ​​based on the range of voxel density values ​​corresponding to each mineral on the first cross section; and to determine the correspondence between each mineral contained in the core and the range of voxel photoelectric factor values ​​based on the range of voxel photoelectric factor values ​​corresponding to each mineral on the first cross section. The model building module is used to construct the mineral composition model of the core based on the correspondence between each mineral contained in the core and the range of voxel density values ​​and the range of voxel photoelectric factor values, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plunger sample.

8. A device for simulating rock properties, characterized in that, include: The building block is used to construct core mineral composition models; The simulation module is used to simulate the mechanical or acoustic properties of rocks using the core mineral composition model; the step of constructing the core mineral composition model is achieved by the method for constructing the core mineral composition model as described in any one of claims 1-5.

9. A computing device, characterized in that, include: The system includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for constructing a core mineral composition model as described in any one of claims 1-5, or to implement the method for simulating rock properties as described in claim 6.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method for constructing a core mineral composition model as described in any one of claims 1-5, or the method for simulating rock properties as described in claim 6.

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