Non-oil-gas mineral exploration right transfer block optimization method based on geological big data

Abstract

The invention provides a geological big data-based non-oil-gas mineral exploration right transfer block optimization method. The method comprises the following steps of S1, constructing candidate transfer blocks capable of setting non-oil-gas mineral exploration right based on a national land area range; s2, screening transfer blocks with high geological working degree based on the richness of geological data; s3, evaluating the mineralization potential of the whole block based on the richness of prospecting clue information mined from the geological data; s4, classifying each transfer block based on a block classification standard; and S5, evaluating each block based on the geological mineral information contained in the geological data in the transfer block. Compared with the prior art, the method is based on geological big data, and is scientific and reasonable in the aspects of classification and selection of related geological mineral information, geological technical parameters and other data, so that the data processing efficiency is greatly improved, the reliability degree is greatly improved, and the requirements of the mining market are better met.

Description

Technical Field

[0001] The present invention relates to the technical field of non-oil and gas mineral exploration, and in particular to a method for optimizing non-oil and gas mineral prospecting right transfer blocks based on geological big data. Background Art

[0002] Non-oil and gas mineral prospecting rights transfer blocks refer to areas with non-oil and gas mineral mineralization potential and where prospecting rights can be set up. They are the basis for the prosperity of the mining market. The natural resources authorities need to expand the sources of transfer blocks, quickly evaluate the geological conditions of transfer blocks, and significantly increase the number of transfer blocks to meet the needs of the exploration market. Therefore, based on the geological big data accumulated over the years, it has become an urgent need for the development of the modern mining market to establish a complete transfer block optimization technology system and "quickly, efficiently, and systematically" conduct unified evaluations of multiple transfer blocks. To this end, technicians in this field have proposed a traditional non-oil and gas mineral prospecting rights transfer block optimization method to meet the above needs.

[0003] However, on the one hand, there are many factors that affect the optimization of non-oil and gas mineral prospecting rights transfer blocks, including stratigraphic and structural characteristics, rock and alteration information, geophysical and geochemical anomaly information, mineral points or mineralization point information, ore type, ore quality, grade, co-existing (associated) minerals, etc., which leads to many parameters that affect the optimization of transfer blocks. On the other hand, the traditional non-oil and gas mineral prospecting rights transfer block optimization method requires long-term field investigation support and the application of geological big data is not sufficient, which leads to the time-consuming technical defects of this method and makes it difficult to meet the needs of the current mining market.

[0004] It should also be noted that, over a long period of time, through the geological data submission mechanism, geological data collection institutions have accumulated a massive amount of geological data resources. Therefore, how to use geological big data to establish a set of fast and efficient methods for optimizing and evaluating the transfer blocks has become a technical problem that needs to be solved urgently. Summary of the invention

[0005] The purpose of the present invention is to improve the efficiency and reliability of the method for optimizing the blocks for the transfer of non-oil and gas mineral prospecting rights, thereby overcoming the technical defects of the traditional method for optimizing the blocks for the transfer of non-oil and gas mineral prospecting rights.

[0006] In order to achieve the above-mentioned invention object, the present invention adopts the following technical solutions:

[0007] A method for selecting non-oil and gas mineral prospecting rights transfer blocks based on geological big data, comprising the following steps:

[0008] S1. Construct candidate transfer blocks for setting up non-oil and gas mineral prospecting rights based on the national land area;

[0009] S2. Select the blocks with high geological work level based on the richness of geological data;

[0010] S3. Evaluate the mineralization potential of the entire block based on the richness of prospecting clues information mined from geological data;

[0011] S4. Classify each transfer block based on the block classification standard;

[0012] S5. Evaluate each block based on the geological and mineral information contained in the geological data within the transferred block.

[0013] On the basis of the above technical solutions, the present invention may adopt the following additional technical means to better or more specifically achieve the purpose of the present invention:

[0014] The step S1 comprises the following sub-steps:

[0015] S11. Construct available blocks across the country's land area based on the 1:10,000 international standard division;

[0016] S12. Eliminate the restricted area data and obtain the candidate transfer blocks for setting up prospecting rights within the national land area.

[0017] Further, based on the result of sub-step S12, step S2 includes the following sub-steps:

[0018] S21. Based on the national 1:50,000 regional geological survey work, obtain the transfer blocks that have completed the 1:50,000 regional geological survey work;

[0019] S22. Based on the results of step S21 and in combination with the level of national 1:50,000 regional mineral geological survey work, obtain the transfer blocks for which 1:50,000 regional mineral geological survey work has been completed.

[0020] Further, based on the result of sub-step S22, step S3 includes the following sub-steps:

[0021] S31. Based on the national mineral deposit database, select the transfer blocks containing mineral deposit information;

[0022] S32, based on the coordinate information of the turning points of each block, a list of geological data within the regional range is retrieved to form a geological data package of the transferred block;

[0023] S33. Based on the geological data packages of each transferred block, explore the stratigraphic and structural characteristics, rock and alteration information, geophysical and geochemical anomaly information, mineral point or mineralization point information, prospecting engineering information, ore type, ore quality, grade, paragenetic or associated minerals in the block;

[0024] S34. Screen out the transfer blocks containing geophysical and geochemical anomaly information or prospecting engineering information.

[0025] Furthermore, the step S4 classifies each block according to the block classification standard and in combination with the result of the sub-step S34.

[0026] Furthermore, the step S5 includes the following sub-steps:

[0027] S51, based on the data packet formed in sub-step S32, mining the traffic location information, previous geological work conditions, and prospecting information in the geological data within the block;

[0028] S52. Based on the result of sub-step S51, fill in the description of the block to be transferred and the geological evaluation form for the transfer of non-oil and gas mineral prospecting rights; and based on the result of sub-step S32, form a list of important geological data of the block to be transferred.

[0029] Compared with the prior art (i.e. the traditional method for selecting the optimal block for the transfer of non-oil and gas mineral prospecting rights), the present invention has the following significant technical effects:

[0030] The present invention is based on geological big data, and is scientific and reasonable in the classification and selection of relevant geological mineral information, geological technical parameters and other data. It not only greatly improves the efficiency of data processing, but also greatly improves the reliability, thereby better meeting the needs of the mining market. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 is an overall logic block diagram of an embodiment of the present invention;

[0032] Figure 2 is a logic block diagram of step S1 in this embodiment;

[0033] Figure 3 is a logic block diagram of step S2 in this embodiment;

[0034] Figure 4 is a logic block diagram of step S3 in this embodiment;

[0035] Figure 5 is a logic block diagram of step S5 in this embodiment. DETAILED DESCRIPTION

[0036] In order to facilitate those skilled in the art to fully and accurately understand the technical solution of the present invention, an embodiment of the present invention is described in detail below in conjunction with the accompanying drawings:

[0037] like Figure 1 As shown, a method for selecting non-oil and gas mineral prospecting rights transfer blocks based on geological big data includes the following steps:

[0038] S1. Construct candidate transfer blocks for setting up non-oil and gas mineral prospecting rights based on the national land area;

[0039] S2. Select the blocks with high geological work level based on the richness of geological data;

[0040] S3. Evaluate the mineralization potential of the entire block based on the richness of prospecting clues information mined from geological data;

[0041] S4. Classify each transfer block based on the block classification standard;

[0042] S5. Evaluate each block based on the geological and mineral information contained in the geological data within the transferred block.

[0043] like Figure 2 As shown, in this embodiment, step S1 includes the following two sub-steps:

[0044] S11. Construct available blocks across the country's land area based on the 1:10,000 international standard division;

[0045] S12. Eliminate the restricted area data and obtain candidate transfer blocks for setting prospecting rights in the national land area. Figure 3 As shown, based on the result of sub-step S12, step S2 includes the following two sub-steps:

[0046] S21. Based on the national 1:50,000 regional geological survey work, obtain the transfer blocks that have completed the 1:50,000 regional geological survey work;

[0047] S22. Based on the results of step S21 and in combination with the level of national 1:50,000 regional mineral geological survey work, obtain the transfer blocks for which 1:50,000 regional mineral geological survey work has been completed.

[0048] like Figure 4 As shown, based on the result of sub-step S22, step S3 includes the following four sub-steps:

[0049] S31. Based on the national mineral deposit database, select the transfer blocks containing mineral deposit information;

[0050] S32, based on the coordinate information of the turning points of each block, a list of geological data within the regional range is retrieved to form a geological data package of the transferred block;

[0051] S33. Based on the geological data packages of each transferred block, explore the stratigraphic and structural characteristics, rock and alteration information, geophysical and geochemical anomaly information, mineral point or mineralization point information, prospecting engineering information, ore type, ore quality, grade, paragenetic or associated minerals in the block;

[0052] S34. Screen out the transfer blocks containing geophysical and geochemical anomaly information or prospecting engineering information.

[0053] The step S4 classifies each block according to the block classification standard and in combination with the result of the sub-step S34.

[0054] like Figure 5 As shown, step S5 includes the following sub-steps:

[0055] S51, based on the data packet formed in sub-step S32, mining the traffic location information, previous geological work conditions, and prospecting information in the geological data within the block;

[0056] S52. Based on the result of sub-step S51, fill in the description of the block to be transferred and the geological evaluation form for the transfer of non-oil and gas mineral prospecting rights; and based on the result of sub-step S32, form a list of important geological data of the block to be transferred.

[0057] Above, an embodiment of the present invention is described in conjunction with the accompanying drawings, and the embodiment embodies the basic technical route of the present invention. The basic technical route of the present invention is: in view of the low efficiency (time-consuming) of the traditional non-oil and gas mineral prospecting right transfer block optimization method, a non-oil and gas mineral prospecting right transfer block optimization method based on geological big data is designed, by dividing the national land area into blocks, constructing candidate transfer blocks where non-oil and gas mineral prospecting rights can be set, screening blocks according to the richness of geological data, evaluating the mineralization potential of the entire block according to the richness of prospecting information mined from geological data, classifying each transfer block based on the block classification standard, and evaluating each block according to the geological mineral information contained in the geological data in the transfer block, so that the natural resources authority can efficiently and reliably provide non-oil and gas mineral prospecting right transfer blocks, thereby better meeting the actual needs of the mining market and ensuring the orderly development of the mining market.

Claims

1. A method for optimizing non-oil and gas mineral prospecting rights transfer blocks based on geological big data, characterized by: The steps include: S1. Construct candidate transfer blocks for setting up non-oil and gas mineral prospecting rights based on the national land area; S2. Select the blocks with high geological work level based on the richness of geological data; S3. Evaluate the mineralization potential of the entire block based on the richness of prospecting clues information mined from geological data; S4. Classify each transfer block based on the block classification standard; S5. Evaluate each block based on the geological and mineral information contained in the geological data within the transferred block.

2. The method for optimizing non-oil and gas mineral prospecting rights transfer blocks based on geological big data as claimed in claim 1, characterized in that: The step S1 comprises the following sub-steps: S11. Construct available blocks across the country's land area based on the 1:10,000 international standard division; S12. Eliminate the restricted area data and obtain the candidate transfer blocks for setting up prospecting rights within the national land area. Further, based on the result of sub-step S12, step S2 includes the following sub-steps: S21. Based on the national 1:50,000 regional geological survey work, obtain the transfer blocks that have completed the 1:50,000 regional geological survey work; S22. Based on the results of step S21 and in combination with the level of national 1:50,000 regional mineral geological survey work, obtain the transfer blocks for which 1:50,000 regional mineral geological survey work has been completed.

3. The method for optimizing non-oil and gas mineral prospecting rights transfer blocks based on geological big data as claimed in claim 2, characterized in that: Based on the result of the sub-step S22, the step S3 includes the following sub-steps: S31. Based on the national mineral deposit database, select the transfer blocks containing mineral deposit information; S32, based on the inflection point coordinate information of each block, retrieve a list of geological data within the regional range to form a geological data package for the transferred block; S33. Based on the geological data packages of each transferred block, explore the stratigraphic and structural characteristics, rock and alteration information, geophysical and geochemical anomaly information, mineral point or mineralization point information, prospecting engineering information, ore type, ore quality, grade, paragenetic or associated minerals in the block; S34. Screen out the transfer blocks containing geophysical and geochemical anomaly information or prospecting engineering information.

4. The method for optimizing non-oil and gas mineral prospecting rights transfer blocks based on geological big data as claimed in claim 3, characterized in that: The step S4 classifies each block according to the block classification standard and in combination with the result of the sub-step S34.

5. The method for optimizing non-oil and gas mineral prospecting rights transfer blocks based on geological big data as claimed in claim 3, characterized in that: The step S5 comprises the following sub-steps: S51, based on the data packet formed in sub-step S32, mining the traffic location information, previous geological work conditions, and prospecting information in the geological data within the block; S52. Based on the result of sub-step S51, fill in the description of the block to be transferred and the geological evaluation form for the transfer of non-oil and gas mineral prospecting rights; and based on the result of sub-step S32, form a list of important geological data of the block to be transferred.

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