阅读说明：本技术 一种热液型铀矿勘查方法 (Hydrothermal uranium ore exploration method ) 是由 薛伟 王文旭 陈霜 剡鹏兵 刘小刚 于 2018-06-13 设计创作，主要内容包括：本发明涉及铀矿找矿技术领域,具体公开了一种热液型铀矿勘查方法。该方法包括：1、选择并分析待勘查区域典型铀矿床的成矿特征和规律,建立地质在立体空间中的各控制因素之间的耦合关系；2、在选定的区域范围内,利用云平台及地质在立体空间中各控制因素之间耦合关系的数据,初步确定预选的成矿体或；3、依据有利火山盆地、火山机构特征,利用云平台筛选有利的成矿体或矿区域；4、对上述步骤所获得的矿区域,获取所述区域铀成矿控制因素数据,确定有利的铀矿勘查区域；5、圈定预测区域,并对最终缩小的铀矿勘查地段开展钻探验证。该方法利用互联网及大数据平台,实现快速确定钻探验证铀矿区域的目的,尤其适用于寻找盲矿体或新区找矿。(The invention relates to the technical field of uranium ore prospecting, and particularly discloses a hydrothermal uranium ore prospecting method. The method comprises the following steps: 1. selecting and analyzing the mineralization characteristics and the law of typical uranium deposit in the area to be surveyed, and establishing the coupling relation between control factors of geology in a three-dimensional space; 2. in a selected area range, preliminarily determining a preselected mineral forming body or a preselected mineral forming body by using data of coupling relations between control factors of a cloud platform and geology in a three-dimensional space; 3. screening favorable ore forming bodies or ore regions by utilizing a cloud platform according to the characteristics of favorable volcanic basins and volcanic mechanisms; 4. for the ore area obtained in the above step, obtaining uranium mineralization control factor data of the area, and determining a favorable uranium ore exploration area; 5. and (4) defining a prediction area, and carrying out drilling verification on the finally reduced uranium mine exploration area. The method utilizes the internet and a big data platform to achieve the purpose of quickly determining the uranium ore region for drilling verification, and is particularly suitable for searching blind ore bodies or new region ore exploration.)

1. A hydrothermal uranium ore exploration method is characterized by comprising the following steps: the method specifically comprises the following steps:

step 1, selecting and analyzing the mineralization characteristics and the law of typical uranium deposit in a region to be surveyed, and establishing the coupling relation between control factors of geology in a three-dimensional space;

step 2, in the selected area range, preliminarily determining a preselected ore forming body or an ore forming area by using the cloud platform and the data of the coupling relation between the control factors of the geology in the three-dimensional space, which is obtained in the step 1;

step 3, screening favorable ore forming bodies or ore areas by utilizing a cloud platform according to the characteristics of favorable volcanic basins and volcanic mechanisms;

step 4, obtaining uranium mineralization control factor data of the area of the ore area obtained in the step, determining favorable uranium ore exploration areas, ranking the most favorable exploration areas in a grading way, and further determining the spreading depth and range of deep target bodies;

and 5, defining a prediction area, and carrying out drilling verification on the finally reduced uranium ore exploration area.

2. A keatite uranium mining exploration method according to claim 1, wherein: and (2) establishing a coupling relation among control factors of geology in a three-dimensional space in the step 1, and obtaining data related to main mineralization control factors of the geology mainly according to the mineralization characteristics and laws of typical uranium deposit in the region.

3. A keatite uranium mining exploration method according to claim 1, wherein: the cloud platform in the step 2 comprises a GIS platform or a DGSS platform; carrying out geological, physical and chemical exploration and remote sensing big data analysis in a selected region range, and preselecting and determining a limited favorable secondary volcanic rock mass on a cloud platform by utilizing mining control factors such as mining age and stage of the rock mass; and superposing the selected secondary volcanic rock mass with the remote sensing information by using a GIS platform or a DGSS platform to determine the secondary volcanic rock mass at the edge of the volcanic mechanism, and superposing the secondary volcanic rock mass with the aeromagnetic delta T contour map and the chemical exploration result map to obtain an ore forming body or an ore forming area which accords with the geological control factors.

4. A keatite uranium mining exploration method according to claim 1, wherein: the step 3 specifically comprises: the method comprises the steps of screening favorable ore forming bodies or ore forming areas by utilizing a big data platform for uranium ore exploration according to the characteristics of favorable volcanic basins and volcanic mechanisms, superposing radioactive exploration and chemical exploration information, analyzing coupling relations of various ore forming control factors, reducing ore finding target bodies, namely determining the most favorable ore forming bodies or ore forming areas, and carrying out grading sequencing.

5. A keatite uranium mining exploration method according to claim 1, wherein: and 4, acquiring the most favorable ore forming bodies or ore forming areas, carrying out large-scale geological mapping and geophysical prospecting measurement on the ore forming areas, acquiring uranium ore forming control factor data of the areas, analyzing the coupling relation among the uranium ore forming control factors, determining favorable uranium ore exploration sections, sorting the most favorable uranium ore exploration sections in a grading mode, and determining the spreading depth and range of deep target bodies by using a geophysical prospecting measurement and tank exploration mode.

6. A hydrothermal uranium mine exploration method according to claim 1 or 2, wherein: in the step 1, for a subluquelite type uranium deposit, the geology of the subluquelite type uranium deposit is in the coupling relation among all control factors in a three-dimensional space, a subluquelite body is a first control factor, and main characteristic data of the subluquelite type uranium deposit comprise rock characteristics, diagenesis age, rock control structure, rock aeromagnetic contours, rock geochemistry characteristics and rock body positions, wherein the rock characteristics comprise color, structure, composition, speckles and the content and hardness of matrix.

Technical Field

The invention belongs to the technical field of uranium ore prospecting, and particularly relates to a hydrothermal uranium ore prospecting method.

Background

Through continuous uranium ore exploration for more than half a century, nearly 350 uranium ore deposits are explored in China at present, research on uranium ore exploration technology and uranium ore geological theory is great, uranium resource guarantee capability of China is rapidly improved, and great contribution is made to national defense industry and nuclear power development. After the huge uranium ore exploration result, the future uranium ore exploration difficulty is increased day by day, on one hand, the hydrothermal type uranium ore exploration 'point-in-place finding' ore exploration idea has a bottleneck problem, most uranium ore points exposed on the earth surface have already carried out uranium ore evaluation work, and new uranium ore points are difficult to find, so that the ore exploration idea is about to exit from a uranium ore exploration stage in the future, the big datamation and the internetworking are gradually improved, and the method plays a powerful supporting role in ore formation prediction, ore formation mode and ore formation research; on the other hand, according to statistics, 90% of shallow uranium ores are discovered and explored, deep ore exploration is difficult to separate from existing ore deposits or the periphery of the ore deposits, and new areas are difficult to break through. Therefore, the general idea of hard rock type uranium ore exploration is relatively limited, how to break through the tradition and develop a new idea is the first solution problem of hard rock type uranium ore exploration in China at present. The useful information required by the internet and the big data can be comprehensively extracted, and further integrated and superposed to obtain more favorable information resources of 1+1>2, so that a new uranium ore prospecting prediction method integrating the internet and the big data is necessary.

Disclosure of Invention

The invention aims to provide a hydrothermal uranium ore exploration method, which can utilize a cloud computing platform to connect an exploration system, an ore forming system and a geographic information system so as to confirm an abnormal area, define an ore target area and find ore deposits and ore bodies in an exploration area.

The technical scheme of the invention is as follows: a hydrothermal uranium ore exploration method specifically comprises the following steps:

step 1, selecting and analyzing the mineralization characteristics and the law of typical uranium deposit in a region to be surveyed, and establishing the coupling relation between control factors of geology in a three-dimensional space;

step 2, in the selected area range, preliminarily determining a preselected ore forming body or an ore forming area by using the cloud platform and the data of the coupling relation between the control factors of the geology in the three-dimensional space, which is obtained in the step 1;

step 3, screening favorable ore forming bodies or ore areas by utilizing a cloud platform according to the characteristics of favorable volcanic basins and volcanic mechanisms;

step 4, obtaining uranium mineralization control factor data of the area of the ore area obtained in the step, determining favorable uranium ore exploration areas, ranking the most favorable exploration areas in a grading way, and further determining the spreading depth and range of deep target bodies;

and 5, defining a prediction area, and carrying out drilling verification on the finally reduced uranium ore exploration area.

And (2) establishing a coupling relation among control factors of geology in a three-dimensional space in the step 1, and obtaining data related to main mineralization control factors of the geology mainly according to the mineralization characteristics and laws of typical uranium deposit in the region.

The cloud platform in the step 2 comprises a GIS platform or a DGSS platform; carrying out geological, physical and chemical exploration and remote sensing big data analysis in a selected region range, and preselecting and determining a limited favorable secondary volcanic rock mass on a cloud platform by utilizing mining control factors such as mining age and stage of the rock mass; and superposing the selected secondary volcanic rock mass with the remote sensing information by using a GIS platform or a DGSS platform to determine the secondary volcanic rock mass at the edge of the volcanic mechanism, and superposing the secondary volcanic rock mass with the aeromagnetic delta T contour map and the chemical exploration result map to obtain an ore forming body or an ore forming area which accords with the geological control factors.

The step 3 specifically comprises: the method comprises the steps of screening favorable ore forming bodies or ore forming areas by utilizing a big data platform for uranium ore exploration according to the characteristics of favorable volcanic basins and volcanic mechanisms, superposing radioactive exploration and chemical exploration information, analyzing coupling relations of various ore forming control factors, reducing ore finding target bodies, namely determining the most favorable ore forming bodies or ore forming areas, and carrying out grading sequencing.

And 4, acquiring the most favorable ore forming bodies or ore forming areas, carrying out large-scale geological mapping and geophysical prospecting measurement on the ore forming areas, acquiring uranium ore forming control factor data of the areas, analyzing the coupling relation among the uranium ore forming control factors, determining favorable uranium ore exploration sections, sorting the most favorable uranium ore exploration sections in a grading mode, and determining the spreading depth and range of deep target bodies by using a geophysical prospecting measurement and tank exploration mode.

In the step 1, for a subluquelite type uranium deposit, the geology of the subluquelite type uranium deposit is in the coupling relation among all control factors in a three-dimensional space, a subluquelite body is a first control factor, and main characteristic data of the subluquelite type uranium deposit comprise rock characteristics, diagenesis age, rock control structure, rock aeromagnetic contours, rock geochemistry characteristics and rock body positions, wherein the rock characteristics comprise color, structure, composition, speckles and the content and hardness of matrix.

The invention has the following remarkable effects: the hydrothermal uranium ore exploration method can utilize the internet and a big data platform to achieve the purpose of quickly determining the uranium ore region for drilling and verifying, and is particularly suitable for searching blind ore bodies or new regions for finding ores.

Drawings

Fig. 1 is a schematic flow chart of a hydrothermal uranium ore exploration method according to the present invention.

Detailed Description

The invention is described in further detail below with reference to the figures and the embodiments.

As shown in fig. 1, a hydrothermal uranium ore exploration method specifically includes the following steps:

step 1, selecting typical uranium deposit in a region, analyzing the mineralization characteristics and law of the typical uranium deposit, determining mineralization control factors, and establishing a coupling relation between the control factors of geology in a three-dimensional space;

selecting typical uranium deposit in a region, determining and dissecting the most main ore forming control factors by analyzing the ore forming characteristics and rules of the typical uranium deposit, and obtaining the coupling relation of geology among the control factors in a three-dimensional space;

for example, the uranium deposits which have been discovered so far in the middle of inner Mongolia are 460 deposits, 470 deposits and 534 deposits, wherein the 460 deposits are subluxate type uranium deposits, the deposits are characterized in that uranium ore bodies are mainly produced in subluxate bodies and are obviously controlled by the subluxate, the subluxate bodies are first control factors of the deposits, the subluxate bodies of the 460 deposits are analyzed on a three-dimensional space, and main characteristic data of the 460 deposits are rock characteristics, diagenesis age, rock control structure, rock mass aeromagnetic isolines, rock mass geochemical characteristics and rock mass positions, wherein the rock characteristics of the 460 deposit subluxate type uranium deposits are rhyolite, grayish, light gray, spot-like structures, flow line spot structures or blocky structures and the like; the diagenesis age is 80-85 Ma, and the diagenesis belongs to early chalkiness; the rock control structure is in the northeast direction of the region; the rock aeromagnetic delta T contour map is at a high-low value transition part; 1:5 million comprehensive chemical exploration of rock mass is in a Pb-Zn-Mo-Ag and other comprehensive abnormal areas, and belongs to the level of B2; remotely sensing, wherein the rock mass is positioned at the edge part of the hazelnut mountain volcano mechanism and the like;

step 2, preliminarily determining a preselected ore forming body or an ore forming area by using the data of the coupling relation between the control factors of the determined geology in the three-dimensional space in a certain area range by using the cloud platform;

the area is divided into 400km by using a GIS platform or a DGSS platform²In the area 1:5 ten thousand levels of geology, physical and chemical exploration, remote sensing and other big data are butted, and the mining age and the stage of the secondary volcanic rock mass are preselected on a platform, so that 15 favorable secondary volcanic rock masses are determined;

overlapping 15 beneficial secondary volcanic rock masses which are preselected by a big data platform, namely a GIS platform or a DGSS platform, with remote sensing information, and finding that 8 secondary volcanic rock masses are positioned at the edge of a volcanic mechanism;

superposing 8 screened favorable secondary volcanic rocks with an aeromagnetic delta T contour map and a 1: 5-ten-thousand comprehensive exploration result map, and finding 1 rock mass which is in accordance with the aeromagnetic delta T contour map and is in high-low value transition positions, B2-level Pb-Zn-Mo-Ag and other comprehensive abnormalities, namely the secondary volcanic rocks of the sheep cricket gully;

step 3, screening favorable ore forming bodies or favorable ore forming areas by utilizing the cloud platform according to the characteristics of favorable volcanic basins and volcanic mechanisms;

screening favorable ore forming bodies or ore forming areas by using a big data platform for uranium ore exploration according to the characteristics of favorable volcanic basins and volcanic mechanisms, superposing radioactive exploration and chemical exploration information, analyzing the coupling relation of various ore forming control factors, reducing ore finding target bodies, namely determining the most favorable ore forming bodies or ore forming areas, and performing grading sequencing;

step 4, acquiring uranium mineralization control factor data of the first-ranked mineralization area obtained in the step, determining favorable uranium ore exploration areas, ranking the most favorable uranium ore exploration areas in a grading manner, and further determining the spreading depth and range of deep target bodies;

for the first mine forming area, acquiring uranium mine forming control factor data of the area by developing large-scale geological mapping and geophysical prospecting measurement, analyzing the coupling relation among the uranium mine forming control factors, determining favorable uranium mine exploration sections, sorting the most favorable uranium mine exploration sections in a grading manner, and then determining the spreading depth and range of a deep target body by using the geophysical prospecting measurement and a tank prospecting manner;

carrying out 1:5000 uranium mine geological mapping and matched chemical exploration work in a Toronty county sheep pit area, carrying out CSAMT measurement and radon and daughter measurement in a favorable area, determining that AP1 and AP3 sections have better uranium mineralization conditions, constructing a groove exploration project on the ground surface, and determining that the area ore control structure is in the east-cup direction and tends to the northwest;

step 5, defining a prediction area, and carrying out drilling verification on the finally reduced uranium mine exploration area;

ZKYP1 drilling holes and ZKYP2 drilling holes are arranged in a Toronty county sheep discal ditch region, the condition that the ZKYP1 drilling holes are abnormal uranium holes and the ZKYP2 drilling holes are industrial uranium ore holes in the uranium ore searching section screened layer by layer is verified, and therefore the target region for searching the sheep discal ditch uranium ore is realized.