Construction method of core mineral component model and related device

Abstract

The invention discloses a construction method of a core mineral component model and a related device. The method comprises the following steps: cutting a rock core into a lamellar sample and a plunger-shaped sample, and testing the lamellar sample and the plunger-shaped sample to respectively obtain two-dimensional mineral components and distribution information of the lamellar sample and a voxel density distribution model and a voxel photoelectric factor distribution model of the plunger-shaped sample; and establishing a corresponding relation between the core mineral and voxel density value range and the voxel photoelectric factor value range, performing mineral division on voxels in the core by taking the corresponding relation as a constraint condition, and constructing a core mineral component model according to a mineral division result. The constructed core mineral component model is real and accurate, the adverse effect of human subjective factors is avoided, and the defects that in a traditional construction method, mineral types are missing, mineral type distinguishing is not clear, and minerals with similar density are difficult to distinguish are overcome.

Description

Technical Field

[0001] The invention relates to the technical field of oil and gas field exploration and development, and in particular to a method for constructing a core mineral component model and a related device. Background Art

[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. The simulation method is mainly based on the constructed digital three-dimensional model of the core.

[0003] Compared with the real core, the digital core model constructed by the traditional method has the disadvantages of fewer mineral types, unclear mineral type distinction, and difficulty in distinguishing minerals with similar density. In addition, there is human subjectivity in mineral composition and distribution, and the authenticity and accuracy of the digital core model constructed by the traditional method are poor. The results obtained by simulation using this model cannot accurately reflect the mechanical and acoustic properties of the reservoir in the real oil and gas reservoir, and the actual application effect is weak, which cannot 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 the core, 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 object of the present invention is to provide a method for constructing a core mineral composition model and related devices.

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

[0007] Cutting the core according to a preset cross-sectional position to obtain a thin sheet sample and a plug-shaped sample, wherein a first cross section of the thin sheet sample and a second cross section of the plug-shaped sample are mirror images of each other;

[0008] Performing mineral testing and analysis on the first cross section of the thin-flaked sample, and obtaining two-dimensional mineral composition and distribution information on the first cross section of the thin-flaked sample according to the test and analysis results of the mineral;

[0009] Performing computer tomography on the plunger-shaped sample, and constructing a voxel density distribution model and a voxel photoelectric factor distribution model of the plunger-shaped sample according to the computer tomography results;

[0010] Determine the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section according to the two-dimensional mineral composition and distribution information on the first section of the thin-sheet sample, and the voxel density distribution model and the voxel photoelectric factor distribution model of the plunger-shaped sample;

[0011] Determine the corresponding relationship between each mineral contained in the core and the range of voxel density values ​​according to the range of voxel density values ​​corresponding to each mineral on the first section;

[0012] Determine the correspondence between each mineral contained in the core and the range of voxel photoelectric factor values ​​according to the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section;

[0013] The core mineral component model is constructed according to the correspondence between each mineral contained in the core and the voxel density value range and the voxel photoelectric factor value range, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plug-shaped sample.

[0014] In one embodiment, the step of determining the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section according to the two-dimensional mineral composition and distribution information on the first section of the thin-sheet sample, and the voxel density distribution model and the voxel photoelectric factor distribution model of the plunger-shaped sample, comprises:

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

[0016] Superimposing the first cross section and the second cross section so that the superimposed first cross section and the second cross section coincide with each other; determining 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;

[0017] According to the voxel density values ​​and voxel photoelectric factor values ​​corresponding to different types of minerals on the first section and the second section after superposition, the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral within the range of the first section and the second section are counted.

[0018] In one embodiment, the core mineral composition model is constructed according to the correspondence between each mineral contained in the core and the voxel density value range and the voxel photoelectric factor value range, as well as the voxel density distribution model and the voxel photoelectric factor distribution model of the plunger-shaped sample, including:

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

[0020] For the voxel density distribution information and voxel photoelectric factor distribution information of the voxels on the three-dimensional volume of the plug-shaped sample, the mineral types corresponding to all voxels on the three-dimensional volume of the plug-shaped sample are determined based on 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] The core mineral composition model is constructed according to the mineral types corresponding to all voxels on the three-dimensional volume of the plug-shaped sample.

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

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

[0024] In a second aspect, an embodiment of the present invention provides a method for simulating rock properties, comprising:

[0025] Construct core mineral composition model;

[0026] Applying the core mineral composition model to simulate rock mechanical properties or rock acoustic properties;

[0027] The step of constructing a core mineral composition model is achieved by the method for constructing a core mineral composition model as described above.

[0028] In a third aspect, an embodiment of the present invention provides a device for constructing a rock mineral component model, comprising:

[0029] A sample preparation module, used for cutting the core according to a preset cross-sectional position to obtain a thin sheet sample and a plug-shaped sample, wherein a first cross section of the thin sheet sample and a second cross section of the plug-shaped sample are mirror images of each other;

[0030] A testing module is used to perform mineral testing and analysis on the first cross section of the thin-flaky sample, and obtain two-dimensional mineral composition and distribution information on the first cross section of the thin-flaky sample according to the test and analysis results of the mineral; perform computer tomography on the plunger-shaped sample, and construct a voxel density distribution model and a voxel photoelectric factor distribution model of the plunger-shaped sample according to the computer tomography results;

[0031] A corresponding relationship determination module, for determining the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section according to the two-dimensional mineral composition and distribution information on the first section of the thin-sheet sample, and the voxel density distribution model and the voxel photoelectric factor distribution model of the plunger-shaped sample; determining the corresponding relationship between each mineral contained in the core and the range of voxel density values ​​according to the range of voxel density values ​​corresponding to each mineral on the first section; determining the corresponding relationship between each mineral contained in the core and the range of voxel photoelectric factor values ​​according to the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section;

[0032] The model building module is used to build the core mineral component model according to the correspondence between each mineral contained in the core and the voxel density value range and the voxel photoelectric factor value range, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plug-shaped sample.

[0033] In a fourth aspect, an embodiment of the present invention provides a rock property simulation device, comprising:

[0034] Construction module, used to construct core mineral composition model;

[0035] A simulation module is used to apply the core mineral component model to simulate rock mechanical properties or rock acoustic properties; the step of constructing the core mineral component model is achieved by the core mineral component model construction method as described above.

[0036] In a fifth aspect, an embodiment of the present invention provides a computing device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for constructing the core mineral composition model as described above is implemented, or the method for simulating rock properties as described above is implemented.

[0037] In a sixth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program implements the aforementioned method for constructing a core mineral composition model, or implements the aforementioned method for simulating rock properties.

[0038] The beneficial effects of the above technical solution provided by the embodiment of the present invention include at least:

[0039] The method and related device for constructing the above-mentioned core mineral component model provided by the embodiment of the present invention are based on real on-site sampling cores, and experiments are carried out with the real cores as the object, and the core mineral component model is constructed according to the test results and using a preset construction method. The core mineral component model constructed by the embodiment of the present invention is more realistic and accurate, avoiding the adverse effects of human subjective factors in traditional construction methods. The mineral type, component and distribution information contained in the core mineral component model constructed by the embodiment of the present invention are more consistent with the real core, solving the shortcomings of the traditional construction method such as missing mineral types, unclear mineral type distinction, and difficulty in distinguishing minerals with similar densities (compared with the real core).

[0040] Furthermore, in the embodiment of the present invention, in the computed tomography test of the plug-shaped samples obtained by core cutting, dual-energy X-ray computed tomography technology is used, that is, the plug-shaped samples are scanned with two different energies, high and low, which can more accurately classify the mineral types of the plug-shaped samples.

[0041] The above-mentioned rock property simulation method provided in the embodiment of the present invention is carried out based on the mineral group model obtained by the method for constructing the core mineral component model provided in the embodiment of the present invention. Performing rock mechanical property or rock acoustic property simulation tests on it can more accurately and effectively predict the mechanical and acoustic characteristics of the real core in the reservoir, thereby optimizing reservoir evaluation and engineering design, increasing oil field production and bringing better economic benefits.

[0042] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0044] Figure 1 is a flow chart of a method for constructing a rock mineral component model in an embodiment of the present invention;

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

[0046] Figure 3 The mineral composition and distribution image in the embodiment of the present invention;

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

[0048] Figure 5 is a voxel photoelectric factor distribution model in an embodiment of the present invention;

[0049] Figure 6 is the correspondence between the core minerals and the voxel density value range and the voxel photoelectric factor value range in the embodiment of the present invention;

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

[0051] Figure 8 A flow chart of an implementation method for constructing a core mineral composition model in an embodiment of the present invention;

[0052] Fig. 9 is a flow chart of a method for simulating rock properties in an embodiment of the present invention;

[0053] Fig.10 Schematic diagram of a device for constructing a core mineral composition model in an embodiment of the present invention;

[0054] Fig.11 Schematic diagram of a device for simulating rock properties in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The embodiments of the present invention provide a method for constructing a core mineral composition model and a related device. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0056] The present invention provides a method for constructing a core mineral composition model. Figure 1 As shown, the method comprises the following steps:

[0057] S11, cutting the core according to a preset cross-sectional position to obtain a thin sheet sample and a plug-shaped sample, wherein a first cross section of the thin sheet sample and a second cross section of the plug-shaped sample are mirror images of each other;

[0058] S12, performing mineral testing and analysis on the first cross section of the thin-flaked sample, and obtaining two-dimensional mineral composition and distribution information on the first cross section of the thin-flaked sample according to the mineral testing and analysis results; performing computer tomography on the plunger-shaped sample, and constructing a voxel density distribution model and a voxel photoelectric factor distribution model of the plunger-shaped sample according to the computer tomography results;

[0059] S13. Determine the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section according to the two-dimensional mineral composition and distribution information on the first section of the thin-sheet sample, as well as the voxel density distribution model and the voxel photoelectric factor distribution model of the plunger sample; determine the corresponding relationship between each mineral contained in the core and the range of voxel density values ​​according to the range of voxel density values ​​corresponding to each mineral on the first section; determine the corresponding relationship between each mineral contained in the core and the range of voxel photoelectric factor values ​​according to the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section;

[0060] S14. Construct a core mineral composition model based on the correspondence between each mineral contained in the core and the voxel density value range and the voxel photoelectric factor value range, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plug-shaped sample.

[0061] In the above step S11, the obtained thin-sheet sample should be suitable for mineral testing and analysis, and the obtained plunger-shaped sample should be suitable for computer tomography. The first cross section of the thin-sheet sample and the second cross section of the plunger-shaped sample are obtained by cutting the core at a preset cross-sectional position. The cutting method of the core is referred to Figure 2 Therefore, the first section and the second section are identical sections that are mirror images of each other, which can ensure the consistency of the mineral types, components and distribution characteristics on the first section and the second section.

[0062] In the above step S12, for example, a scanning electron microscope method is used to test the first cross section of the thin-sheet sample. In the embodiment of the present invention, the mineral composition and distribution image on the first cross section obtained by the test are referred to as Figure 3 As shown. Figure 3 Not only can we get the type and content information of different minerals on the first section, but we can also get the distribution information of different minerals on the first section.

[0063] For example, the plunger-shaped sample is scanned using high and low energies of an X-ray tomography system, and the density value and photoelectric factor value of each voxel of the plunger-shaped sample in the three-dimensional volume are calculated based on the dual-energy scanning results, thereby constructing a voxel density distribution model and a voxel photoelectric factor distribution model of the plunger-shaped sample. The voxel density distribution model constructed in the embodiment of the present invention refers to Figure 4 As shown, the voxel photoelectric factor distribution model constructed is referenced Figure 5 As shown. Figure 4 and Figure 5 In the figure, we can intuitively see the distribution of voxel density and voxel photoelectric factor in the three-dimensional volume of the plunger-shaped sample.

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

[0065] First, the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section are determined by the following method. For example, the voxel density distribution model of the plunger-shaped sample is taken ( Figure 4 ) and the voxel photoelectric factor distribution model ( Figure 5 ) in the second section; then superimpose the first section with mineral composition and distribution information and the second section with voxel density distribution information, and superimpose the first section with mineral composition and distribution information and the second section with voxel photoelectric factor distribution information, and obtain the voxel density values ​​and voxel photoelectric factor values ​​corresponding to different types of minerals on the superimposed first section and the second section, and then statistically obtain the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral within the range of the first section and the second section. The range of voxel density values ​​corresponding to each mineral is the interval range between the minimum value of the voxel density value corresponding to each mineral and the maximum value of the voxel density value, and the range of voxel photoelectric factor values ​​corresponding to each mineral is the interval range between the minimum value of the voxel photoelectric factor value corresponding to each mineral and the maximum value of the voxel photoelectric factor value. The range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral within the range of the first section and the second section are shown in Table 1. Table 1 lists the minimum, maximum and average values ​​of the voxel density values ​​corresponding to the six mineral types, and the minimum, maximum and average values ​​of the voxel photoelectric factor values ​​corresponding to each mineral type.

[0066] Table 1

[0067]

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

[0069] In the embodiment of the present invention, the range of voxel density values ​​corresponding to each mineral on the first section is determined as the corresponding relationship between each mineral and the range of voxel density values ​​on the three-dimensional volume of the core; the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section is determined as the corresponding relationship between each mineral and the range of voxel photoelectric factor values ​​on the three-dimensional volume of the core. Therefore, as long as the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section are obtained, the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the three-dimensional volume of the core are also determined. In the embodiment of the present invention, the obtained correspondence between the minerals contained in the core and the range of voxel density values ​​and the range of voxel photoelectric factor values ​​is referred to. Figure 6 As shown, from Figure 6 It can be seen that all voxel density values ​​within the range of voxel density values ​​corresponding to each mineral contained in the core, as well as all voxel photoelectric factor values ​​within the corresponding voxel photoelectric factor value range.

[0070] In the above step S14, first, according to the correspondence between each mineral contained in the core obtained in step S13 and the range of voxel density values, combined with the voxel density distribution model of the plug-shaped sample, the mineral type corresponding to the voxel density value of all voxels on the three-dimensional volume of the plug-shaped sample can be determined; according to the correspondence between each mineral contained in the core obtained in step S13 and the range of voxel photoelectric factor values, combined with the voxel photoelectric factor distribution model of the plug-shaped sample, the mineral type corresponding to the voxel photoelectric factor value of all voxels on the three-dimensional volume of the plug-shaped sample can be determined; with the mineral type corresponding to the voxel density value of all voxels on the three-dimensional volume of the plug-shaped sample and the mineral type corresponding to the voxel photoelectric factor value of all voxels as common constraints, all voxels in the plug-shaped sample are divided into mineral types, and finally the mineral type corresponding to all voxels on the three-dimensional volume of the plug-shaped sample is determined.

[0071] Then, according to the determined mineral types corresponding to all voxels in the 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 the embodiment of the present invention refers to Figure 7 As shown, from Figure 7 The mineral types, components and distribution information contained in the core can be obtained. The core mineral component model constructed here is actually the mineral component model of the plunger sample.

[0072] In summary, the specific implementation method of the above core mineral composition model construction can refer to the process Figure 8As shown. The core is obtained from the real oil and gas reservoir, and the real core is tested, including mineral testing and analysis and computer tomography; according to the test results, the voxel density value range and voxel photoelectric factor value range corresponding to different minerals on the three-dimensional volume of the core are determined by a preset method; the voxels in the core are divided into mineral types based on the voxel density value range and voxel photoelectric factor value range corresponding to different minerals as constraints, and the core mineral component model is constructed according to the results of the voxel mineral type division. The mineral types in the constructed core mineral component model are clear, and the core mineral component model is more realistic and reliable.

[0073] The embodiment of the present invention provides a method for simulating rock properties. Fig. 9 As shown, the method comprises the following steps:

[0074] S91. Construct core mineral composition model;

[0075] S92. Apply the core mineral composition model to simulate 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 as described above.

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

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

[0078] The embodiment of the present invention provides a device for constructing a rock mineral component model, referring to Fig.10 As shown, including:

[0079] The sample preparation module 101 is used to cut the core according to a preset cross-sectional position to obtain a thin-sheet sample and a plug-shaped sample, wherein the first cross-section of the thin-sheet sample and the second cross-section of the plug-shaped sample are mirror images of each other;

[0080] The testing module 102 is used to perform mineral testing and analysis on the first cross section of the thin-flaked sample, and obtain two-dimensional mineral composition and distribution information on the first cross section of the thin-flaked sample according to the mineral testing and analysis results; perform computer tomography on the plunger-shaped sample, and construct a voxel density distribution model and a voxel photoelectric factor distribution model of the plunger-shaped sample according to the computer tomography results;

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

[0082] The model building module 104 is used to build a core mineral composition model according to the correspondence between each mineral contained in the core and the voxel density value range and the voxel photoelectric factor value range, 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, an embodiment of the present invention further provides a device for simulating rock properties. Since the principle of the problem solved by the device is similar to that of the aforementioned device for simulating rock properties, the implementation of the device can refer to the implementation of the aforementioned method, and the repeated parts will not be repeated.

[0084] The embodiment of the present invention provides a rock property simulation device, referring to Fig.11 As shown, including:

[0085] A construction module 111 is used to construct a core mineral composition model;

[0086] The simulation module 112 is used to simulate rock mechanical properties or rock acoustic properties using the core mineral composition model; the step of constructing the core mineral composition model is achieved by the core mineral composition model construction method as described above.

[0087] An embodiment of the present invention provides a computing device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the method for constructing a core mineral composition model as described above is implemented, or the method for simulating rock properties as described above is implemented.

[0088] An embodiment of the present invention provides a computer-readable storage medium, which stores 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 implements the method for simulating rock properties as described above.

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

Claims

1. A method for constructing a core mineral composition model, characterized in that: include: Cutting the core according to a preset cross-sectional position to obtain a thin sheet sample and a plug-shaped sample, wherein a first cross section of the thin sheet sample and a second cross section of the plug-shaped sample are mirror images of each other; Performing mineral testing and analysis on the first cross section of the thin-flaked sample, and obtaining two-dimensional mineral composition and distribution information on the first cross section of the thin-flaked sample according to the test and analysis results of the mineral; Performing computer tomography on the plunger-shaped sample, and constructing a voxel density distribution model and a voxel photoelectric factor distribution model of the plunger-shaped sample according to the computer tomography results; Determine the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section according to the two-dimensional mineral composition and distribution information on the first section of the thin-sheet sample, and the voxel density distribution model and the voxel photoelectric factor distribution model of the plunger-shaped sample; Determine the corresponding relationship between each mineral contained in the core and the range of voxel density values ​​according to the range of voxel density values ​​corresponding to each mineral on the first section; Determine the correspondence between each mineral contained in the core and the range of voxel photoelectric factor values ​​according to the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section; The core mineral component model is constructed according to the correspondence between each mineral contained in the core and the voxel density value range and the voxel photoelectric factor value range, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plug-shaped sample.

2. The method according to claim 1, characterized in that Determining the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section according to the two-dimensional mineral composition and distribution information on the first section of the thin-sheet sample, and the voxel density distribution model and the voxel photoelectric factor distribution model of the plunger-shaped sample, comprises: According to the voxel density distribution model and the voxel photoelectric factor distribution model of the plunger-shaped sample, voxel density distribution information and voxel photoelectric factor distribution information on the second cross section of the plunger-shaped sample are obtained; Superimposing the first cross section and the second cross section so that the superimposed first cross section and the second cross section coincide with each other; determining 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; According to the voxel density values ​​and voxel photoelectric factor values ​​corresponding to different types of minerals on the first section and the second section after superposition, the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral within the range of the first section and the second section are counted.

3. The method according to claim 1 or 2, characterized in that The core mineral component model is constructed according to the correspondence between each mineral contained in the core and the voxel density value range and the voxel photoelectric factor value range, as well as the voxel density distribution model and the voxel photoelectric factor distribution model of the plunger-shaped sample, including: According to the voxel density distribution model and the voxel photoelectric factor distribution model of the plunger-shaped sample, voxel density distribution information and voxel photoelectric factor distribution information of the voxels on the three-dimensional volume of the plunger-shaped sample are obtained; For the voxel density distribution information and voxel photoelectric factor distribution information of the voxels on the three-dimensional volume of the plug-shaped sample, the mineral types corresponding to all voxels on the three-dimensional volume of the plug-shaped sample are determined based on 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; The core mineral composition model is constructed according to the mineral types corresponding to all voxels on the three-dimensional volume of the plug-shaped sample.

4. The method according to claim 1, characterized in that The mineral testing and analysis of the thin-flaked samples are performed using scanning electron microscopy technology.

5. The method according to claim 1, characterized in that The computer tomography scan adopts dual-energy X-ray computer tomography scan.

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

7. A device for constructing a core mineral composition model, characterized in that: include: A sample preparation module, used for cutting the core according to a preset cross-sectional position to obtain a thin sheet sample and a plug-shaped sample, wherein a first cross section of the thin sheet sample and a second cross section of the plug-shaped sample are mirror images of each other; A testing module, used to perform mineral testing and analysis on the first cross section of the thin-flaked sample, and obtain two-dimensional mineral composition and distribution information on the first cross section of the thin-flaked sample according to the test and analysis results of the mineral; Performing computer tomography on the plunger-shaped sample, and constructing a voxel density distribution model and a voxel photoelectric factor distribution model of the plunger-shaped sample according to the computer tomography results; A corresponding relationship determination module, for determining the range of voxel density values ​​and the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section according to the two-dimensional mineral composition and distribution information on the first section of the thin-sheet sample, and the voxel density distribution model and the voxel photoelectric factor distribution model of the plunger-shaped sample; determining the corresponding relationship between each mineral contained in the core and the range of voxel density values ​​according to the range of voxel density values ​​corresponding to each mineral on the first section; determining the corresponding relationship between each mineral contained in the core and the range of voxel photoelectric factor values ​​according to the range of voxel photoelectric factor values ​​corresponding to each mineral on the first section; The model building module is used to build the core mineral component model according to the correspondence between each mineral contained in the core and the voxel density value range and the voxel photoelectric factor value range, as well as the voxel density distribution model and voxel photoelectric factor distribution model of the plug-shaped sample.

8. A rock property simulation device, characterized in that: include: Construction module, used to construct core mineral composition model; A simulation module is used to apply the core mineral composition model to simulate rock mechanical properties or rock acoustic properties; 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: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for constructing a core mineral composition model as described in any one of claims 1 to 5 is implemented, or the method for simulating rock properties as described in claim 6 is implemented.

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

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