Mineral resource evaluation method, device, equipment and medium

Abstract

The invention belongs to the technical field of mineral resource evaluation, and particularly relates to a mineral resource evaluation method, device, equipment and medium. The method comprises the steps of obtaining engineering parameters and geological parameters of target mineral resources; constructing a reference scale interval table and a to-be-evaluated unit table according to the engineering parameters and the geological parameters; obtaining a preset target yield; determining an alternative resource group in the reference scale interval table according to the target yield; determining a target evaluation unit according to the alternative resource group and the to-be-evaluated unit table; and evaluating the target mineral resources of the target evaluation unit according to the alternative resource group and the to-be-evaluated unit table. And finally, the working method of exploration and development integration, geological engineering integration and modeling digital-analog integration is realized, so that the formed evaluation result combining geology and engineering is more reasonable.

Description

Technical Field

[0001] This invention belongs to the technical field of mineral resource evaluation, specifically relating to a method, apparatus, equipment, and medium for evaluating mineral resources. Background Technology

[0002] Currently, the evaluation of mineral resources is mainly based on geological research, which mainly involves structural and sedimentary analysis, demonstration of reservoir preservation, and description of stratigraphic properties. This is a technical approach that delves into the underlying mechanisms from the surface.

[0003] However, mineral resources can also be evaluated from an engineering perspective. Engineering evaluations mainly include surface construction conditions, underground reservoir protection, and thermo-pressure fluid properties. Reservoir protection is highly correlated with well logging and seismic parameters, and the thermo-pressure fluid property parameters based on different technologies largely overlap with geological modeling and numerical modeling parameters.

[0004] Although a basic paradigm combining geology and engineering exists in the technical demonstration process of exploration and development decisions, the meaning of physical parameters of the same dimension differs between engineering and geological evaluations. This makes it difficult to establish a clear working path for the decision-making process, hindering the formation of a reasonable evaluation result that integrates geology and engineering. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention proposes a method, apparatus, equipment, and medium for evaluating mineral resources. This application involves: acquiring engineering and geological parameters of a target mineral resource; constructing a reference scale interval table and an evaluation unit table based on the engineering and geological parameters, wherein the reference scale interval table includes multiple target mineral resource areas with different yields, each target mineral resource area including reference data corresponding to the engineering and geological parameters; the evaluation unit table including multiple evaluation units, each evaluation unit including evaluation data corresponding to the engineering and geological parameters; acquiring a preset target yield; determining candidate resource groups based on the target yield in the reference scale interval table, wherein the candidate resource groups include multiple candidate resource areas, each candidate resource area being a target mineral resource area related to the target yield; determining target evaluation units based on the candidate resource groups and the evaluation unit table; and evaluating the target mineral resources of the target evaluation units based on the candidate resource groups and the evaluation unit table. Ultimately, this will achieve an integrated approach encompassing exploration and development, geology and engineering, and modeling and numerical simulation, resulting in more reasonable evaluation outcomes that combine geology and engineering.

[0006] To solve the above-mentioned technical problems, the technical solution provided by the present invention includes four aspects.

[0007] In a first aspect, this application provides a method for evaluating mineral resources, comprising: acquiring engineering parameters and geological parameters of a target mineral resource; constructing a reference scale interval table and a table of units to be evaluated based on the engineering parameters and the geological parameters, wherein the reference scale interval table includes multiple target mineral resource areas with different yields, each target mineral resource area including reference data corresponding to the engineering parameters and the geological parameters, and the table of units to be evaluated includes multiple units to be evaluated, each unit to be evaluated including data to be evaluated corresponding to the engineering parameters and the geological parameters; acquiring a preset target yield; determining a candidate resource group in the reference scale interval table based on the target yield, wherein the candidate resource group includes multiple candidate resource areas, the candidate resource areas being target mineral resource areas related to the target yield; determining a target evaluation unit based on the candidate resource group and the table of units to be evaluated; and evaluating the target mineral resources of the target evaluation unit based on the candidate resource group and the table of units to be evaluated.

[0008] In some embodiments, determining the target evaluation unit based on the candidate resource group and the evaluation unit table includes: calculating a first similarity between each evaluation data of each evaluation unit and the corresponding reference data in each candidate resource area; determining the data similarity between the evaluation unit and each candidate resource area based on the first similarity; determining the data similarity with the highest value among the data similarities as the target data similarity; and determining the evaluation unit corresponding to the target data similarity as the target evaluation unit.

[0009] In some embodiments, determining the data similarity between the unit to be evaluated and each of the candidate resource areas based on the first similarity includes: the calculation operation for each data similarity is as follows: obtaining a preset first similarity threshold; determining the first similarity with a value greater than the first similarity threshold as a first target similarity; counting the number of parameters between the unit to be evaluated and the candidate resource areas that have a similarity of the first target similarity; and determining the ratio of the number of parameters to the total number of parameters as the data similarity.

[0010] In some embodiments, determining the data similarity between the unit to be evaluated and each of the candidate resource areas based on the first similarity further includes: calculating each data similarity as follows: summing the similarities of all the first similarities between the unit to be evaluated and the candidate resource areas; and determining the ratio of the sum of similarities to the total number of parameters as the data similarity.

[0011] In some embodiments, evaluating the target mineral resources of the target evaluation unit based on the candidate resource group and the evaluation unit table includes: determining candidate resource areas corresponding to the similarity of the target data as target resource areas, and determining candidate resource areas other than the target resource areas as reference resource areas; obtaining a preset second similarity threshold; determining parameters whose second similarity is greater than or equal to the second similarity threshold as first parameters, wherein the second similarity is the first similarity between each evaluation parameter in the target evaluation unit and each reference data in each of the reference resource areas; determining parameters whose second target similarity is greater than or equal to the second similarity threshold as first target parameters, wherein the second target similarity is the first similarity between each evaluation parameter in the target evaluation unit and each reference data in the target resource area; determining parameters that are both first parameters and first target parameters as target master parameters; determining parameters other than the target master parameters among the first target parameters as important parameters; and evaluating the target geology of the target evaluation unit based on the target master parameters and the important parameters.

[0012] In some embodiments, evaluating the target mineral resources of the target evaluation unit based on the candidate resource group and the evaluation unit table further includes: determining a correlation parameter based on the important parameter and the second target similarity; determining a first characteristic parameter based on the correlation parameter and the corresponding evaluation data; determining a second characteristic parameter based on the first target parameter, the second target similarity, and the second similarity; and evaluating the target mineral resources of the target evaluation unit based on the first characteristic parameter and the second characteristic parameter.

[0013] In some embodiments, determining the association parameter based on the important parameter and the second target similarity includes: obtaining a preset third similarity threshold; determining the parameters among the important parameters whose second target similarity is greater than or equal to the third similarity threshold as second target parameters; classifying the second target parameters into engineering target parameters and geological target parameters according to their source; analyzing the engineering target parameters and the geological target parameters, and determining the engineering target parameters and geological target parameters that characterize the same feature as association parameters.

[0014] In some embodiments, determining the first qualitative parameter based on the association parameter and the corresponding data to be evaluated includes: calculating the data correlation degree between the two data to be evaluated corresponding to the association parameter in the target evaluation unit; obtaining a preset association threshold; and determining the association parameter whose data correlation degree is greater than the association threshold as the first qualitative parameter.

[0015] In some embodiments, determining the second gender parameter based on the first target parameter, the second target similarity, and the second similarity includes: obtaining a preset fourth similarity threshold; determining parameters whose second target similarity is less than or equal to the fourth similarity threshold among the remaining parameters other than the first target parameter as third target parameters; determining parameters whose second similarity is less than or equal to the fourth similarity threshold among the remaining parameters other than the first target parameter as third parameters; and determining parameters that belong to both the third target parameter and the third parameter as second gender parameters.

[0016] Secondly, this application provides a mineral resource evaluation device, comprising: a first acquisition module for acquiring engineering parameters and geological parameters of a target mineral resource; a first construction module for constructing a reference scale interval table and an evaluation unit table based on the engineering parameters and the geological parameters, wherein the reference scale interval table includes multiple target mineral resource areas with different yields, each target mineral resource area includes reference data corresponding to the engineering parameters and the geological parameters, and the evaluation unit table includes multiple evaluation units, each evaluation unit including evaluation data corresponding to the engineering parameters and the geological parameters; a second acquisition module for acquiring a preset target yield; a first determination module for determining a candidate resource group based on the target yield in the reference scale interval table, wherein the candidate resource group includes multiple candidate resource areas, and the candidate resource areas are target mineral resource areas related to the target yield; a second determination module for determining a target evaluation unit based on the candidate resource group and the evaluation unit table; and a first execution module for evaluating the target mineral resources of the target evaluation unit based on the candidate resource group and the evaluation unit table.

[0017] Thirdly, this application proposes an electronic device comprising: a memory and a processor, wherein the memory stores a computer program that, when executed by the processor, performs the method described in any of the first aspects.

[0018] Fourthly, this application proposes a storage medium storing a computer program that can be executed by one or more processors, the computer program being able to implement the method described in any of the first aspects.

[0019] The beneficial effects of this invention are as follows: a method, apparatus, equipment, and medium for evaluating mineral resources. This application involves: acquiring engineering and geological parameters of a target mineral resource; constructing a reference scale interval table and an evaluation unit table based on the engineering and geological parameters, wherein the reference scale interval table includes multiple target mineral resource areas with different yields, each target mineral resource area including reference data corresponding to the engineering and geological parameters; the evaluation unit table including multiple evaluation units, each evaluation unit including evaluation data corresponding to the engineering and geological parameters; acquiring a preset target yield; determining candidate resource groups based on the target yield in the reference scale interval table, wherein the candidate resource groups include multiple candidate resource areas, each candidate resource area being a target mineral resource area related to the target yield; determining target evaluation units based on the candidate resource groups and the evaluation unit table; and evaluating the target mineral resources of the target evaluation units based on the candidate resource groups and the evaluation unit table. Ultimately, this will achieve an integrated approach encompassing exploration and development, geology and engineering, and modeling and numerical simulation, resulting in more reasonable evaluation outcomes that combine geology and engineering. Attached Figure Description

[0020] The scope of this disclosure can be better understood by reading the following detailed description of exemplary embodiments in conjunction with the accompanying drawings. The accompanying drawings are:

[0021] Figure 1 A flowchart illustrating an overall method for evaluating mineral resources provided in this application embodiment;

[0022] Figure 2 A data table for oil and gas resource evaluation is provided in the embodiments of this application;

[0023] Figure 3 This is a structural block diagram of a mineral resource evaluation device provided in an embodiment of this application. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0025] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0026] If the application documents contain similar descriptions such as "first, second, third", the following explanation shall be added: In the following description, the terms "first, second, third" are used only to distinguish similar objects and do not represent a specific order of objects. It is understood that "first, second, third" may be interchanged in a specific order or sequence where permitted, so that the embodiments of this application described herein can be implemented in an order other than that illustrated or described herein.

[0027] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0028] Example 1:

[0029] Although a basic paradigm combining geology and engineering exists in the technical demonstration process of exploration and development decisions, the meaning of physical parameters of the same dimension differs between engineering and geological evaluations. This makes it difficult to establish a clear working path for the decision-making process, hindering the formation of a reasonable evaluation result that integrates geology and engineering.

[0030] To address the problems existing in the current technology, such as Figure 1 As shown, this application provides a method for evaluating mineral resources. The method is implemented in an electronic device, which can be a server, mobile terminal, computer, cloud platform, etc. The functions achieved by the device data processing provided in this application embodiment can be implemented by the processor of the electronic device calling program code. The program code can be stored in a computer storage medium. The method for evaluating mineral resources includes:

[0031] Step S1: Obtain the engineering and geological parameters of the target mineral resource.

[0032] Because physical parameters of the same dimension have different meanings in engineering evaluation and geological evaluation, it is necessary to classify parameters into engineering parameters and geological parameters. Furthermore, for the same mineral resource in the same region, the evaluation results obtained based on geological parameters and those obtained based on engineering parameters can differ significantly. Therefore, to accurately evaluate mineral resources in a target area, this application combines engineering parameters and geological parameters. Thus, when evaluating a certain mineral resource in this application, it is necessary to obtain both the engineering parameters and geological parameters of that mineral resource.

[0033] Step S2: Construct a reference scale interval table and an evaluation unit table based on the engineering parameters and the geological parameters. The reference scale interval table includes multiple target mineral resource areas with different yields. Each target mineral resource area includes reference data corresponding to the engineering parameters and the geological parameters. The evaluation unit table includes multiple evaluation units. Each evaluation unit includes evaluation data corresponding to the engineering parameters and the geological parameters.

[0034] This paper divides multiple target mineral resource areas with existing production data according to their production output, forming mineral resource areas with different production outputs. This division can be based on a range of values. Engineering and geological parameter data from multiple resource areas with production outputs within the same range are then integrated. This integration can be achieved using a large model or multi-source data integration. This yields reference data for various parameters within each resource area corresponding to different production output ranges. For geological parameters, many are difficult to describe in a standardized manner. In this application, these parameters can be visualized and quantified using relevant charts or graphs to obtain their numerical values. The charts or graphs used in this application are compatible with geospatial coordinate systems such as WGS1984. Since the data collected from different resource areas varies, some resource areas may have missing data. These missing data can be processed using interpolation or other methods to obtain the corresponding parameter data. Furthermore, this parameter data can also be obtained from a database.

[0035] By filling the reference data into the table according to the target mineral resource area and corresponding parameters based on the corresponding output, a reference scale interval table can be formed. This reference scale interval table can provide valuable information when evaluating the area to be evaluated.

[0036] While a reference scale interval table allows for the evaluation of target mineral resources in any region, this approach is labor-intensive and yields limited results. To improve the effectiveness of evaluations, a more targeted and focused approach is needed. Therefore, this application also requires the construction of an evaluation unit table based on engineering and geological parameters. This table contains multiple evaluation units, each containing evaluation data corresponding to the engineering and geological parameters. These evaluation units represent different regions. This evaluation data can be derived from existing data or obtained through other means. By filling in these evaluation data, corresponding evaluation units, and parameters into the table, an evaluation data table is formed.

[0037] Step S3: Obtain the preset target output.

[0038] Step S4: Determine the candidate resource group in the reference scale interval table according to the target output, wherein the candidate resource group includes multiple candidate resource areas, and the candidate resource area is a target mineral resource area related to the target output.

[0039] A reference scale interval table can be used to evaluate a unit to be evaluated. However, such an evaluation process requires comparing the unit to be evaluated with target mineral resource areas of various yields. Another approach is to determine a set of target mineral resource areas for reference, namely the candidate resource group of this application, and then evaluate each unit to be evaluated. This application adopts the latter strategy.

[0040] Step S5: Determine the target evaluation unit based on the candidate resource group and the evaluation unit table.

[0041] The purpose of evaluating each unit to be evaluated is to find the region that can meet the target output and target mineral resources, and to evaluate the situation of the target mineral resources in this region. Therefore, in this application, it is also necessary to select a unit that meets the target expectations from among the many units to be evaluated as the target evaluation unit, and then evaluate the target mineral resources of the target evaluation unit.

[0042] In some embodiments, step S5, "determining the target evaluation unit based on the candidate resource group and the evaluation unit table," includes:

[0043] Step S51: Calculate the first similarity between each of the data to be evaluated in each of the units to be evaluated and the corresponding reference data in each of the candidate resource areas.

[0044] Step S52: Determine the data similarity between the unit to be evaluated and each of the candidate resource areas based on the first similarity.

[0045] There is a very high similarity between the unit to be evaluated that meets the expectations and the candidate resource area. That is, among the candidate resource group and multiple target units to be evaluated, there must be one candidate resource area with extremely high data similarity to the unit to be evaluated. This indicates that the unit to be evaluated is the unit to be evaluated that meets the expectations, i.e., the target evaluation unit of this application. To calculate the similarity between two sets of data, i.e., the data similarity of this application, it is necessary to first calculate the similarity between the two data corresponding to each parameter, i.e., the first similarity of this application. Regarding how to calculate the similarity of the entire group of data based on the similarity between individual data, this application proposes two solutions. As described in steps S521-S524, the data similarity is determined based on the proportion of the number of parameters that meet the threshold in the total number of parameters. Steps S525-S526 utilize the idea of ​​overall similarity, averaging the first similarity of the entire group of data, and determining the data similarity based on the average similarity. Of course, for ease of understanding, steps S521-S526 describe the steps for calculating a single data similarity. The unit to be evaluated and the candidate resource area mentioned herein refer to the same unit to be evaluated and the same candidate resource area. This can be applied to calculate the data similarity between any unit to be evaluated and any candidate resource area. Since the reference data and the data to be evaluated may contain text data and numerical data, and the numerical data may include interval data and specific numerical data, different similarity calculation methods can be chosen for different types of data. For example, spatial vectors can be used to calculate the first similarity, numerical values ​​can be used to calculate the similarity, the overlap between two intervals can be calculated, or the boundary data between intervals can be calculated. Therefore, this application does not limit the specific calculation method for the first similarity; researchers can calculate the first similarity according to actual needs during implementation.

[0046] In some embodiments, step S52, "determining the data similarity between the unit to be evaluated and each of the candidate resource areas based on the first similarity," includes:

[0047] Step S521: Obtain the preset first similarity threshold.

[0048] Step S522: The first similarity with a value greater than the first similarity threshold is determined as the first target similarity.

[0049] Step S523: Count the number of parameters whose similarity to the first target similarity is between the unit to be evaluated and the candidate resource area.

[0050] Step S524: The ratio of the number of parameters to the total number of parameters is determined as the data similarity.

[0051] In some embodiments, step S52, "determining the data similarity between the unit to be evaluated and each of the candidate resource areas based on the first similarity," further includes:

[0052] Step S525: Calculate the sum of the similarities of all the first similarities between the unit to be evaluated and the candidate resource area.

[0053] Step S526: The similarity and the ratio of the similarity to the total number of parameters are determined as the data similarity.

[0054] Step S53: Determine the data similarity with the highest value among the data similarities as the target data similarity.

[0055] Step S54: Determine the unit to be evaluated that corresponds to the similarity of the target data as the target evaluation unit.

[0056] After determining the data similarity, the higher the similarity between the data of the evaluation unit to be evaluated and the data of the target mineral resource area, the easier it is for the evaluation unit to meet the expectations. Therefore, the data similarity with the highest value is determined as the target data similarity, and the evaluation unit corresponding to the target data similarity is determined as the target evaluation unit.

[0057] Step S6: Evaluate the target mineral resources of the target evaluation unit according to the candidate resource group and the evaluation unit table.

[0058] The evaluation of mineral resources needs to be conducted from multiple aspects. Therefore, in some embodiments, step S6, "evaluating the target mineral resources of the target evaluation unit according to the candidate resource group and the evaluation unit table," includes:

[0059] Step S61: Determine the candidate resource area corresponding to the similarity of the target data as the target resource area, and determine the candidate resource areas other than the target resource area as reference resource areas.

[0060] Step S62: Obtain the preset second similarity threshold.

[0061] Step S63: Determine the parameter whose second similarity is greater than or equal to the second similarity threshold as the first parameter, wherein the second similarity is the first similarity between each parameter to be evaluated in the target evaluation unit and each reference data in each of the reference resource areas.

[0062] Step S64: Determine the parameter whose second target similarity is greater than or equal to the second threshold as the first target parameter, wherein the second target similarity is the first similarity between each parameter to be evaluated in the target evaluation unit and each reference data in the target resource area.

[0063] Step S65: Determine the parameter that is both the first parameter and the first target parameter as the target master control parameter.

[0064] Step S66: Determine the parameters in the first target parameters other than the target master control parameters as important parameters.

[0065] Step S67: Evaluate the target geology of the target evaluation unit based on the target master control parameters and the important parameters.

[0066] The target mineral resources of the target evaluation unit can be evaluated using key control factors and important parameters. Since the candidate resource areas in the candidate resource group all meet the target production targets, if the data for a certain parameter of the target evaluation unit has extremely high similarity not only to the reference data of the target resource area but also to the reference data of other candidate resource areas, then this parameter is considered a key parameter for the formation of the target mineral resource. Therefore, this application refers to it as the target key control parameter. If the target mineral resource is oil and gas, then the target key control parameter is the key control factor for oil and gas accumulation. Since some mineral resources do not produce a single type of mineral but may contain multiple minerals, each mineral resource corresponds to multiple mineral resource areas. For example, when the target mineral resource is oil and gas, oil resource areas and gas resource areas can be divided. The highest data similarity between the target evaluation unit and the target resource area indicates that the target evaluation unit includes mineral resources corresponding to the target resource area. Similarly, using oil and gas resources as the target mineral resources, and a target yield of "high yield" (where "high yield" is a range, generally defined as yield exceeding a certain threshold), the candidate resource group is then called the "high-yield oil and gas resource group," which includes both high-yield oil and gas resource areas. When the data similarity between the target evaluation unit and the high-yield oil resource area is highest, it indicates a high probability that the target evaluation unit contains high-yield oil resources. Therefore, in this application, the parameters in the first target parameters, excluding the main control parameters, are called important parameters. These parameters allow analysis to determine why the target evaluation unit possesses high-yield oil resources and what characteristics these high-yield oil resources exhibit.

[0067] In addition to evaluating the target mineral resources of the target evaluation unit through the main control factors and important parameters, other parameters can also be used to further evaluate the target mineral resources of the target evaluation unit. Therefore, in some embodiments, step S6, "evaluating the target mineral resources of the target evaluation unit according to the candidate resource group and the table of units to be evaluated," further includes:

[0068] Step S67: Determine the association parameters based on the important parameters and the second target similarity.

[0069] In some embodiments, step S67, "determining the association parameter based on the important parameter and the second target similarity," includes:

[0070] Step S671: Obtain the preset third similarity threshold.

[0071] Step S672: Determine the parameters among the important parameters whose second target similarity is greater than or equal to the third similarity threshold as the second target parameters.

[0072] Step S673: Divide the second target parameters into engineering target parameters and geological target parameters according to their source.

[0073] Step S674: Analyze the engineering target parameters and the geological target parameters, and determine the engineering target parameters and geological target parameters that characterize the same feature as correlation parameters.

[0074] Step S68: Determine the first qualitative parameter based on the correlation parameter and the corresponding data to be evaluated.

[0075] In some embodiments, step S68, "determining the primary qualitative parameter based on the associated parameter and the corresponding data to be evaluated," includes:

[0076] Step S681: Calculate the data correlation degree between the two data to be evaluated corresponding to the correlation parameter in the target evaluation unit.

[0077] Step S682: Obtain the preset association threshold.

[0078] Step S683: The correlation parameters whose data correlation degree is greater than the correlation threshold are determined as the primary correlation parameters.

[0079] Step S69: Determine the second attribute parameter based on the first target parameter, the second target similarity, and the second similarity.

[0080] In some embodiments, step S69, "determining a second similarity parameter based on the first target parameter, the second target similarity, and the second similarity," includes:

[0081] Step S691: Obtain the preset fourth similarity threshold.

[0082] Step S692: Among the remaining parameters other than the first target parameter, the parameters whose second target similarity is less than or equal to the fourth similarity threshold are determined as the third target parameter.

[0083] Step S693: Among the remaining parameters other than the first target parameter, the parameter whose second similarity is less than or equal to the fourth similarity threshold is determined as the third parameter.

[0084] Step S694: Determine the parameter that belongs to both the third target parameter and the third parameter as the second attribute parameter.

[0085] Step S70: Evaluate the target mineral resources of the target evaluation unit based on the first individual parameter and the second individual parameter.

[0086] Evaluation of target mineral resources in a target area using engineering parameters and evaluation using geological parameters often result in significant discrepancies. This is primarily because the two methods of expressing and calculating parameters with the same characteristic differ, leading to substantial discrepancies. This application includes both geological and engineering parameters as key parameters, although their numbers may vary, and some engineering parameters may express different characteristics. However, if two key parameters express the same characteristic and their evaluation data have a very high correlation, then this parameter is considered highly important; we term such parameters as primary parameters. Similarly, if the similarity between a parameter's reference data and the data to be evaluated in various resource areas is below a certain threshold, then this parameter can express the differences between the target evaluation unit and the candidate resource areas; we call such parameters secondary parameters. Two parameters, one representing strong correlation and the other strong dissimilarity, enable a more comprehensive evaluation of the target mineral resources within the evaluation unit. This combines engineering and geological assessments, providing the evaluation results with the advantages of both engineering and geological evaluations, thus better guiding mineral resource extraction. It's worth noting that when determining the second parameter, there might be instances where reference data for a particular parameter within the candidate resource group are identical; such cases do not affect the determination of the second parameter.

[0087] This application uses oil and gas resources as an example to explain the method used in this application, such as... Figure 2 As shown. Figure 2 The target mineral resource is oil and gas, and the target yield is high production. Therefore, the candidate resource areas in the candidate resource group are high-yield oil resource areas and high-yield gas resource areas. There are four units to be evaluated below the table: the first unit to be evaluated, the second unit to be evaluated, the third unit to be evaluated, and the fourth unit to be evaluated. The planar coordinates of all units to be evaluated do not overlap. For ease of display, in... Figure 2The data only shows a portion of the engineering and geological parameters used in the evaluation. By calculating the data similarity between each unit to be evaluated and each candidate resource area, we determined the first evaluation unit as the target evaluation unit and the high-yield gas resource area as the target resource area. Then, we determined the main controlling factors of hydrocarbon accumulation (Hydrogen Pit Accumulation) through the second target similarity and the second similarity. Figure 2 The parameters highlighted by the dashed line are the main controlling factors for hydrocarbon accumulation. Then, key parameters were also identified. Figure 2 (The parameters corresponding to the bolded data in the data to be evaluated). After determining the key parameters, it was found that the lithology represented by the carbonate rock thickness in the geological parameters and the mudstone interlayer thickness in the engineering parameters is the same. Therefore, these two parameters became correlation parameters. Furthermore, it was found that there was a high correlation between the data to be evaluated for carbonate rock thickness and the data to be evaluated for mudstone interlayer thickness in the target evaluation unit. Therefore, carbonate rock thickness and mudstone interlayer thickness were determined as the primary parameters. In this embodiment, the determination of the primary parameters allows for the construction of sequence frameworks between multiple evaluation units based on sequence framework stratigraphy, thus clarifying the connections between multiple evaluation units. Similarly, through the second similarity and second target similarity, it was found that the data to be evaluated for quartz content, geothermal gradient, and HI (oxygen index) in the target evaluation unit had low similarity to the reference data of each resource area. Therefore, quartz content, geothermal gradient, and HI (oxygen index) were determined as the secondary parameters.

[0088] Example 2:

[0089] Based on the foregoing embodiments, this application provides a mineral resource evaluation device. The various modules and units included in the device can be implemented by a processor in a computer device; of course, they can also be implemented by specific logic circuits. In the implementation process, the processor can be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA), etc.

[0090] A mineral resource evaluation device includes: a first acquisition module 1, a first construction module, a second acquisition module 3, a first determination module 4, a second determination module 5, and a first execution module 6.

[0091] The first acquisition module 1 is used to acquire the engineering parameters and geological parameters of the target mineral resource. The first construction module 2 is used to construct a reference scale interval table and an evaluation unit table based on the engineering parameters and geological parameters. The reference scale interval table includes multiple target mineral resource areas with different yields, and each target mineral resource area includes reference data corresponding to the engineering parameters and geological parameters. The evaluation unit table includes multiple evaluation units, and each evaluation unit includes evaluation data corresponding to the engineering parameters and geological parameters. The second acquisition module 3 is used to acquire a preset target yield. The first determination module 4 is used to determine a candidate resource group in the reference scale interval table based on the target yield. The candidate resource group includes multiple candidate resource areas, and each candidate resource area is a target mineral resource area related to the target yield. The second determination module 5 is used to determine a target evaluation unit based on the candidate resource group and the evaluation unit table. The first execution module 6 is used to evaluate the target mineral resources of the target evaluation unit based on the candidate resource group and the evaluation unit table.

[0092] The modules in the aforementioned mineral resource evaluation device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of the device in hardware form or independently of it, or stored in the memory of the processing device in software form, so that the processor can call and execute the operations corresponding to each module. It should be noted that the module division in this embodiment is illustrative and only represents a logical functional division; in actual implementation, there may be other division methods.

[0093] Example 3:

[0094] The third aspect provides an electronic device including a storage device and a processor, the storage device storing a computer program, the processor executing the computer program to implement the steps of a method for evaluating mineral resources.

[0095] Example 4:

[0096] The fourth aspect provides a storage medium storing a computer program that can be executed by one or more processors, the computer program being able to implement the steps of any of the mineral resource evaluation methods of the first aspect.

[0097] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0098] It should be understood that the phrase "one embodiment" or "an embodiment" throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of this application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. It should be understood that in the various embodiments of this application, the sequence numbers of the above-described processes do not imply a sequential order of execution; the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application. The sequence numbers of the above-described embodiments are merely descriptive and do not represent the superiority or inferiority of the embodiments.

[0099] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0100] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0101] The units described above as separate components may or may not be physically separate, and the components shown as units may or may not be physical units. They can be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0102] Furthermore, in the various embodiments of this application, all functional units can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in a combination of hardware and software functional units.

[0103] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium, and when the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), magnetic disks, or optical disks.

[0104] Alternatively, if the integrated units described above are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a controller to execute all or part of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROMs, magnetic disks, or optical disks.

[0105] The above description is merely an embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for evaluating mineral resources, characterized in that, include: Obtain the engineering and geological parameters of the target mineral resource; Based on the engineering parameters and the geological parameters, a reference scale interval table and an evaluation unit table are constructed. The reference scale interval table includes multiple target mineral resource areas with different yields. Each target mineral resource area includes reference data corresponding to the engineering parameters and the geological parameters. The evaluation unit table includes multiple evaluation units. Each evaluation unit includes evaluation data corresponding to the engineering parameters and the geological parameters. Obtain the preset target output; Based on the target output, a candidate resource group is determined in the reference scale interval table, wherein the candidate resource group includes multiple candidate resource areas, and the candidate resource areas are target mineral resource areas related to the target output. The target evaluation unit is determined based on the candidate resource group and the evaluation unit table; The target mineral resources of the target evaluation unit are evaluated based on the candidate resource group and the evaluation unit table.

2. The method according to claim 1, characterized in that, The step of determining the target evaluation unit based on the candidate resource group and the evaluation unit table includes: Calculate the first similarity between each of the data to be evaluated in each of the units to be evaluated and the corresponding reference data in each of the candidate resource areas; The data similarity between the unit to be evaluated and each of the candidate resource areas is determined based on the first similarity. The data with the highest numerical similarity among the data similarities is determined as the target data similarity; The unit to be evaluated that corresponds to the similarity of the target data is identified as the target evaluation unit.

3. The method according to claim 2, characterized in that, The step of determining the data similarity between the unit to be evaluated and each of the candidate resource areas based on the first similarity includes: The calculation of the similarity of each data point is as follows: Obtain the preset first similarity threshold; The first similarity score with a value greater than the first similarity threshold is determined as the first target similarity score; The number of parameters whose similarity to the unit to be evaluated and the candidate resource area is equal to the first target similarity is counted. The ratio of the number of parameters to the total number of parameters is determined as the data similarity.

4. The method according to claim 2, characterized in that, The step of determining the data similarity between the unit to be evaluated and each of the candidate resource areas based on the first similarity further includes: The calculation of the similarity of each data point is as follows: Calculate the sum of the similarities of all the first similarities between the unit to be evaluated and the candidate resource area; The similarity is then determined as the ratio of the similarity to the total number of parameters.

5. The method according to claim 2, characterized in that, The evaluation of the target mineral resources of the target evaluation unit based on the candidate resource group and the evaluation unit table includes: The candidate resource areas corresponding to the similarity of the target data are determined as the target resource areas, and the candidate resource areas other than the target resource areas are determined as reference resource areas. Obtain the preset second similarity threshold; The parameter with a second similarity greater than or equal to the second similarity threshold is determined as the first parameter, wherein the second similarity is the first similarity between each parameter to be evaluated in the target evaluation unit and each reference data in each reference resource area; The parameter whose second target similarity is greater than or equal to the second similarity threshold is determined as the first target parameter, wherein the second target similarity is the first similarity between each parameter to be evaluated in the target evaluation unit and each reference data in the target resource area; The parameter that is both the first parameter and the first target parameter is determined as the target master control parameter; The parameters in the first target parameters other than the target master control parameters are identified as important parameters; The target mineral resources of the target evaluation unit are evaluated based on the target master control parameters and the important parameters.

6. The method according to claim 5, characterized in that, The evaluation of the target mineral resources of the target evaluation unit based on the candidate resource group and the evaluation unit table further includes: The association parameters are determined based on the important parameters and the second target similarity. The first qualitative parameter is determined based on the correlation parameters and the corresponding data to be evaluated. A second attribute parameter is determined based on the first target parameter, the second target similarity, and the second similarity. The target mineral resources of the target evaluation unit are evaluated based on the first individual parameter and the second individual parameter.

7. The method according to claim 6, characterized in that, The step of determining the association parameters based on the important parameters and the second target similarity includes: Obtain the preset third similarity threshold; The parameters among the important parameters whose second target similarity is greater than or equal to the third similarity threshold are determined as the second target parameters; The second target parameters are divided into engineering target parameters and geological target parameters according to their source. By analyzing the engineering target parameters and the geological target parameters, engineering target parameters and geological target parameters that characterize the same feature are identified as correlation parameters.

8. The method according to claim 7, characterized in that, The step of determining the first qualitative parameter based on the correlation parameter and the corresponding data to be evaluated includes: Calculate the data correlation degree between the two data points to be evaluated corresponding to the correlation parameter in the target evaluation unit; Obtain the preset association threshold; The correlation parameters whose data correlation degree is greater than or equal to the correlation threshold are determined as the first correlation parameter.

9. The method according to claim 6, characterized in that, The step of determining the second attribute parameter based on the first target parameter, the second target similarity, and the second similarity includes: Obtain the preset fourth similarity threshold; The parameters whose second target similarity is less than or equal to the fourth similarity threshold among the remaining parameters other than the first target parameter are determined as the third target parameters; The parameters whose second similarity is less than or equal to the fourth similarity threshold among the remaining parameters other than the first target parameter are determined as the third parameters; The parameter that belongs to both the third target parameter and the third parameter is determined as the second attribute parameter.

10. A mineral resource evaluation device, characterized in that, include: The first acquisition module is used to acquire the engineering and geological parameters of the target mineral resource; The first construction module is used to construct a reference scale interval table and an evaluation unit table based on the engineering parameters and the geological parameters. The reference scale interval table includes multiple target mineral resource areas with different yields, and each target mineral resource area includes reference data corresponding to the engineering parameters and the geological parameters. The evaluation unit table includes multiple evaluation units, and each evaluation unit includes evaluation data corresponding to the engineering parameters and the geological parameters. The second acquisition module is used to acquire the preset target output; The first determining module is used to determine a candidate resource group in the reference scale interval table according to the target output, wherein the candidate resource group includes multiple candidate resource areas, and the candidate resource area is a target mineral resource area related to the target output. The second determining module is used to determine the target evaluation unit based on the candidate resource group and the evaluation unit table; The first execution module is used to evaluate the target mineral resources of the target evaluation unit according to the alternative resource group and the evaluation unit table.

11. An electronic device, characterized in that, include: A memory and a processor, wherein the memory stores a computer program that, when executed by the processor, performs the method as described in any one of claims 1-9.

12. A storage medium, characterized in that, The computer program stored in the storage medium can be executed by one or more processors, and the computer program can be used to implement the method as described in any one of claims 1-9.

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