A method, device, medium and product for determining mineral resources

Abstract

The present invention discloses a method, device, medium, and product for determining mineral resource quantities, and relates to the field of resource exploration and assessment. The present invention uses the coordinates of the center point of the ore block as a benchmark, cross-comparing the resource level, grade information, and ore block center point coordinates of a resource ore block model before mine production (i.e., a first resource ore block model) and the current resource ore block model after mine production (i.e., a second resource ore block model). The method can quickly extract data with the same ore block center point coordinates but different grade information, and perform statistical analysis on the extracted data according to different resource levels to complete the determination of the quantitative relationship between the grade information of the first resource ore block model and the second resource ore block model. Based on this quantitative relationship, the resource quantity is accurately determined, thereby improving the reliability of the determined mineral resource quantity, especially the lower-level resource quantity, and can address the shortcomings of the existing technology in resource quantity evaluation or mining project assessment.

Description

Technical Field

[0001] The present invention relates to the field of resource exploration and evaluation, and in particular to a method, equipment, medium and product for determining mineral resource quantity. Background Art

[0002] When conducting economic evaluations of mining projects, especially those currently in production, one often encounters different levels of resource estimates. These levels include proven, controlled, and inferred. For proven resources, the exploration level generally reaches the prospecting level. Due to this high level of exploration, there is a high degree of confidence in the geological continuity and grade continuity of the ore body, resulting in a high degree of confidence in the estimated resource. For controlled resources, the detailed survey level is generally achieved, with a certain degree of confidence in the geological continuity and grade continuity of the ore body, resulting in a reasonable degree of confidence in the estimated resource. However, for inferred resources, due to limited sampling and insufficient control over the geological continuity and grade continuity of the ore body, the confidence level is lower, and the grade can sometimes vary by up to ±100%, resulting in significant uncertainty.

[0003] When conducting technical and economic evaluations of mining projects or feasibility studies, for low-level resources (such as inferred resources), only a coefficient is selected within a range (such as 0.5-0.8) to constrain the ore volume, but the change in grade is not taken into account. This makes it impossible to accurately evaluate the resources, especially the lower-level resources, and the determined resources are unreliable. Summary of the Invention

[0004] In order to solve the above problems existing in the prior art, the present invention provides a method, equipment, medium and product for determining mineral resources.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A method for determining mineral resources, comprising:

[0007] Obtaining a first resource block model and a second resource block model; the first resource block model is a resource block model before mine production; the second resource block model is a current resource block model of the mine;

[0008] Based on the first resource block model and the second resource block model, first block model data and second block model data are respectively obtained; the first block model data includes the resource level, grade information and block center coordinates of the first resource block model; the second block model data includes the resource level, grade information and block center coordinates of the second resource block model; the grade information is used to characterize the resource amount of the mineral;

[0009] Cross-comparing the first ore block model data and the second ore block model data to obtain resource level and grade information corresponding to the same ore block center point coordinates in the first ore block model data and the second ore block model data, so as to generate a data set;

[0010] Extracting data with the same center point coordinates of the ore blocks but different grade information from the data set to generate a sub-data set;

[0011] Performing statistical analysis on the data in the sub-datasets according to different resource levels to obtain a quantitative relationship between the grade information of the first resource block model and the second resource block model;

[0012] Mineral resources are determined based on the quantitative relationships.

[0013] Optionally, the first resource block model and the second resource block model are both three-dimensional geological resource models.

[0014] Optionally, the first ore block model data and the second ore block model data are both stored in csv or txt format.

[0015] Optionally, statistical analysis is performed on the data in the sub-datasets according to different resource levels to obtain a quantitative relationship between the grade information of the first resource block model and the second resource block model, specifically including:

[0016] Counting the grade information in the sub-datasets according to different resource levels, and determining the average value of the grade information corresponding to the different resource levels;

[0017] A variation coefficient is determined based on the average value; the variation coefficient is used to characterize the quantitative relationship between the grade information of the first resource block model and the second resource block model.

[0018] Optionally, determining the mineral resource based on the quantitative relationship specifically includes:

[0019] Based on the coefficient of variation, the resources at a lower resource level are projected to the resources at a higher resource level to obtain the mineral resources.

[0020] Optionally, statistical analysis is performed on the data in the sub-datasets according to different resource levels to obtain a quantitative relationship between the grade information of the first resource block model and the second resource block model, specifically including:

[0021] Counting the grade information in the sub-datasets according to different resource levels, and generating a scatter plot based on the counted grade information;

[0022] The least squares method is used to fit the scatter plot to obtain a regression curve;

[0023] A regression equation is determined based on the regression curve; the regression equation is used to characterize the quantitative relationship between the grade information of the first resource block model and the second resource block model.

[0024] Optionally, determining the mineral resource based on the quantitative relationship specifically includes:

[0025] Based on the regression equation, the resources with lower resource levels are projected to the resources with higher resource levels to obtain the mineral resources.

[0026] A computer device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any one of the above-mentioned methods for determining mineral resources.

[0027] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements any of the above-mentioned methods for determining mineral resources.

[0028] A computer program product comprises a computer program, which, when executed by a processor, implements any of the above-mentioned methods for determining mineral resources.

[0029] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0030] The present invention cross-compares the resource level, grade information and block center coordinates of the resource block model (i.e., the first resource block model) before mine production and the resource level, grade information and block center coordinates of the mine's current resource block model (i.e., the second resource block model) based on the block center coordinates. It can quickly extract data with the same block center coordinates but different grade information, and perform statistical analysis on the extracted data according to different resource levels to complete the determination of the quantitative relationship between the grade information of the first resource block model and the second resource block model. Based on this quantitative relationship, the resource quantity is accurately determined to improve the reliability of the determined mineral resource quantity, especially the lower-level resource quantity, and can solve the shortcomings of the existing technology in resource quantity evaluation or mining project assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0032] Figure 1Flowchart of the method for determining mineral resources provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0034] The purpose of the present invention is to provide a method, equipment, medium and product for determining mineral resources, aiming to achieve accurate determination of resources and thereby improve the reliability of the determined mineral resources, especially lower-level resources.

[0035] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0036] Example 1

[0037] This embodiment provides a method for determining mineral resources. Figure 1 As shown, the method includes:

[0038] Step 100: Obtain a first resource block model and a second resource block model.

[0039] Currently, most mines use three-dimensional geological resource models. A three-dimensional geological resource model generally includes fields such as the X center coordinate, Y center coordinate, and Z center coordinate, as well as resource level (rescat) and grade information (grade). As mining exploration and development progress, mineral resources that were once low-grade in the early stages will have their resource levels increased in the later stages. Based on this, the first and second resource block models obtained in this embodiment are both three-dimensional geological resource models.

[0040] Generally, resource models from the early stages of mine construction (i.e., the pre-production resource block model, the "first resource block model") and the most recent resource model (i.e., the mine's current (latest) resource block model, the "second resource block model") are collected. In addition to the resource model, it is also best to collect a database of drill hole samples and corresponding resource estimates.

[0041] In addition, after obtaining the first resource block model and the second resource block model, it is necessary to open these models with the corresponding three-dimensional mining software to check the scope, field information, resource estimation method, etc. of the obtained models. If necessary, it is also necessary to compare them with the original drilling geological information and analytical grade to determine the reliability of the resource block model.

[0042] Furthermore, in the process of obtaining the model, it is necessary to have a three-dimensional block model of the mine in the early stage and a three-dimensional block model that is re-estimated after upgrading some resource quantities after adding drilling or pit exploration projects.

[0043] This step is the basis of the mineral resource determination method provided in this embodiment, so the reliability of the resource block model must be ensured.

[0044] Step 101: Based on a first resource block model and a second resource block model, first block model data and second block model data are obtained, respectively. The first block model data includes the resource level, grade information, and block center coordinates of the first resource block model. The second block model data includes the resource level, grade information, and block center coordinates of the second resource block model. Grade information is used to characterize the resource level of a mineral.

[0045] In actual applications, resource block models created using different software require the corresponding export function to export key field information. Typically, you'll need to select key fields such as the X center point, Y center point, and Z center point, resource level (rescat), and estimated grade.

[0046] The exported key field information can be stored in CSV or TXT format. In this process, the data (i.e., resource level, grade information, and block center coordinates) exported from the two models (i.e., the first resource block model and the second resource block model) can be stored in data tables with different file names.

[0047] Step 102: Cross-compare the first ore block model data and the second ore block model data to obtain resource level and grade information corresponding to the coordinates of the same ore block center point in the first ore block model data and the second ore block model data to generate a data set.

[0048] In actual application, the process of cross-comparing the data tables derived from the two models according to the spatial position (x, y, z) can be as follows:

[0049] Open the data tables exported from the two models in Microsoft Excel.

[0050] Paste the data tables exported from the two models into the same table.

[0051] Use the vlookup function (or R or Python data lookup functions) to search based on spatial location conditions to create a new data table (i.e., data set). The new data table fields include: X center point, Y center point, Z center point, resource level 1, grade 1, resource level 2, grade 2, etc.

[0052] Step 103: extracting data with the same ore block center coordinates but different grade information from the data set to generate a sub-data set.

[0053] In actual application, the mineral blocks with the same spatial position (x, y, z) and changes in resource levels before and after (such as the control level in the early model and the proven level in the later model, or the inferred level in the early model and the control level in the later model) are summarized to form a new data table.

[0054] Step 104: Statistically analyze the data in the sub-datasets according to different resource levels to obtain a quantitative relationship between the grade information of the first resource block model and the second resource block model.

[0055] In actual application, there are two ways to determine the quantitative relationship between the grade information of the first resource block model and the second resource block model:

[0056] One approach is to simply average the grade information corresponding to different resource levels. Then, a coefficient of variation is calculated based on the average. This coefficient of variation is used to characterize the quantitative relationship. The coefficient of variation is denoted as V, and its determination formula is:

[0057] V = (G1 - G2) / G1 x 100%.

[0058] Where G1 represents the average grade of a block with a lower resource level, and G2 represents the average grade of the block after it is converted into a block with a higher resource level.

[0059] Another method is to generate a scatter plot of the two sets of grade information, fit the regression curve using the least squares method, and calculate the regression equation. The regression equation is used to characterize the above quantitative relationship.

[0060] Step 105: Determine the mineral resource based on the quantitative relationship.

[0061] For the first quantitative relationship determination method mentioned above, the resource quantity of a low resource level can be projected to the resource quantity of a high resource level based on the variation coefficient to obtain the mineral resource quantity.

[0062] For the second quantitative relationship determination method mentioned above, the resource quantity of a low resource level can be projected to the resource quantity of a high resource level based on the regression equation to obtain the mineral resource quantity.

[0063] Based on the above description, when conducting mining project evaluation, the grade information of lower-level resources can be processed according to the coefficient of variation or regression equation, that is, the lower-level resources can be projected to the higher-level resources and participate in the technical and economic evaluation together with the higher-level resources.

[0064] The following describes the specific implementation process of the method for determining mineral resources provided by the present invention, taking the evaluation of the reliability of the lower resource level of a mine in Zambia, Africa as an example, as follows:

[0065] Step 1: Collect resource database.

[0066] We collected resource block models from the early mining period (2013) and the 2019 model. The data format is Maptek Vulcan's block file format. The two models are identical in terms of spatial extent and block size, and both include X, Y, and Z coordinates, grade estimates, and resource classification (rescat).

[0067] Step 2: Export data.

[0068] First, we need to determine the scope of the exported data. Since we want to compare grade changes between the two models as resource levels change, we first define the scope of the proven grade blocks in the 2019 model. Then, we export the proven grade blocks within this range from the model into a CSV file, storing the selected variables for the export: X, Y, Z, and Cu_2019.

[0069] Similarly, the ore block information of the controlled level in the 2013 model within the range is exported into a CSV format file, and the copper element content is named Cu_2013.

[0070] Step 3: Cross-comparison of data.

[0071] Display the two data tables in one table, use Excel's vlookup function to query according to the X, Y, and Z coordinates. The query result is the estimated element content value of the ore block with the same X, Y, and Z coordinates. The final generated table contains X, Y, Z, Cu_2013, and Cu_2019.

[0072] Step 4: Determine the change function.

[0073] Method 1: Calculate the average values ​​of Cu_2013 and Cu_2019 respectively, and use the formula: [|(Cu_2019-Cu_2013)| / Cu_2013]×100% to calculate the coefficient of variation of the average values ​​of the two variables.

[0074] Method 2: Create a scatter plot with Cu_2013 as the horizontal axis and Cu_2019 as the vertical axis. The two have a certain linear relationship. Use the least squares method to fit the regression equation.

[0075] Step 4: Specific application.

[0076] The 2019 resource estimation results are mainly based on controlled level resources. In order to scientifically guide the evaluation of the project, the controlled level can be multiplied by the coefficient of variation, or directly substituted into the regression equation for calculation.

[0077] In summary, the mineral resource determination method provided by this invention can quantitatively estimate the reliability of low-grade resource grades and provide a relatively scientific and accurate adjustment coefficient, or adjust low-grade resource quantities by establishing a regression equation. For mining projects, ore grade is directly important for the final technical and economic evaluation. Therefore, this method can address the shortcomings of mining project assessments or technical and economic evaluations in terms of how to utilize low-grade resource grades.

[0078] Example 2

[0079] A computer device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for determining mineral resources in Example 1.

[0080] Example 3

[0081] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the method for determining mineral resource quantity in Example 1.

[0082] Example 4

[0083] A computer program product includes a computer program, which implements the mineral resource determination method in Example 1 when executed by a processor.

[0084] Example 5

[0085] A computer device, which may be a database. The computer device includes a processor, a memory, an input / output interface (I / O) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store pending transactions. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, it can implement the method for determining the mineral resource quantity in Example 1.

[0086] It should be noted that the object information (including but not limited to object device information, object personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the present invention are all information and data authorized by the object or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions.

[0087] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided by the present invention 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, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. 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). The database involved in each embodiment provided by the present invention may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in each embodiment provided by the present invention may be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, etc., but are not limited to these.

[0088] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0089] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The description of the above examples is only intended to help understand the method and core concept of the present invention. The same or similar parts between the various examples can be referenced. At the same time, for those skilled in the art, based on the concept of the present invention, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for determining mineral resources, characterized in that: The method comprises: Obtaining a first resource block model and a second resource block model; the first resource block model is a resource block model before mine production; the second resource block model is a current resource block model of the mine; Based on the first resource block model and the second resource block model, first block model data and second block model data are respectively obtained; the first block model data includes the resource level, grade information and block center coordinates of the first resource block model; the second block model data includes the resource level, grade information and block center coordinates of the second resource block model; the grade information is used to characterize the resource amount of the mineral; Cross-comparing the first ore block model data and the second ore block model data to obtain resource level and grade information corresponding to the same ore block center point coordinates in the first ore block model data and the second ore block model data, so as to generate a data set; Extracting data with the same center point coordinates of the ore blocks but different grade information from the data set to generate a sub-data set; Performing statistical analysis on the data in the sub-datasets according to different resource levels to obtain a quantitative relationship between the grade information of the first resource block model and the second resource block model; determining a mineral resource based on the quantitative relationship; The data in the sub-datasets are statistically analyzed according to different resource levels to obtain a quantitative relationship between the grade information of the first resource block model and the second resource block model, specifically including: Counting the grade information in the sub-datasets according to different resource levels, and determining the average value of the grade information corresponding to the different resource levels; Determine a variation coefficient based on the average value; the variation coefficient is used to characterize the quantitative relationship between the grade information of the first resource block model and the second resource block model; Alternatively, the data in the sub-datasets are statistically analyzed according to different resource levels to obtain a quantitative relationship between the grade information of the first resource block model and the second resource block model, specifically including: Counting the grade information in the sub-datasets according to different resource levels, and generating a scatter plot based on the counted grade information; The least squares method is used to fit the scatter plot to obtain a regression curve; A regression equation is determined based on the regression curve; the regression equation is used to characterize the quantitative relationship between the grade information of the first resource block model and the second resource block model.

2. The method for determining mineral resources according to claim 1, wherein: The first resource block model and the second resource block model are both three-dimensional geological resource models.

3. The method for determining mineral resources according to claim 1, wherein: The first ore block model data and the second ore block model data are both stored in csv or txt format.

4. The method for determining mineral resources according to claim 1, wherein: Determining the mineral resources based on the quantitative relationship includes: Based on the coefficient of variation, the resources at a lower resource level are projected to the resources at a higher resource level to obtain the mineral resources.

5. The method for determining mineral resources according to claim 1, wherein: Determining the mineral resources based on the quantitative relationship includes: Based on the regression equation, the resources with lower resource levels are projected to the resources with higher resource levels to obtain the mineral resources.

6. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for determining mineral resources according to any one of claims 1 to 5.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining mineral resources according to any one of claims 1 to 5 is implemented.

8. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for determining mineral resources according to any one of claims 1 to 5 is implemented.

Images