Big data geological analysis method for sandstone-type uranium ore mineralization prediction

A geological analysis, sandstone type technology, applied in visual data mining, structured data retrieval, structured data browsing, etc., can solve many problems such as technical limitations and lack of consideration of digital geological research elements.

Pending Publication Date: 2020-05-01
核工业二0八大队
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AI Technical Summary

Problems solved by technology

[0002] At present, there are many methods of metallogenic prediction, mainly in the direction of metallogenic law, ore-prospecting model, and metallogenic characteristics. Although these directions are important factors for metallogenic prediction, they also have technical limitations. also lack of consideration

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Embodiment Construction

[0050] A big data geological analysis method for metallogenic prediction of sandstone-type uranium ore, the method specifically includes the following steps:

[0051] Step 1. Collect data and preprocess to form a database;

[0052] Step 1.1, determine the area to be searched for sandstone-type uranium deposits, and collect geological, mineral, hydrogeological, drilling and geophysical prospecting data in this area;

[0053] Step 1.2, classify, screen, and preprocess the collected data, convert different data formats, and establish several databases;

[0054] Step 2, establishing a sandstone-type uranium ore prospecting model;

[0055]Step 2.1, using the relevant data collected in step 1 to screen effective and favorable information;

[0056] Based on the relevant data collected in step 1, screen and obtain effective and favorable information such as sandstone-type uranium metallogenic regularity, ore-controlling factors, ore-prospecting signs and metallogenic models;

[005...

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Abstract

The invention relates to the technical field of sandstone type uranium ore mineralization prediction, and particularly discloses a big data geological analysis method for sandstone type uranium ore mineralization prediction. The method specifically comprises the following steps of 1, collecting data and performing preprocessing to form a database; 2, establishing a sandstone type uranium ore prospecting model; 3, performing technical analysis and effective information extraction on main ore control factors and ore prospecting marks of the to-be-searched sandstone-type uranium ore region; and 4, carrying out sandstone uranium ore prediction. The invention relates to a big data geological analysis method for sandstone type uranium ore mineralization prediction. geological features are synthesized and summarized, a big data platform is applied, ore control conditions and prospecting marks of sandstone-type uranium ore are considered, the method is also combined with digital geology, database technology, modeling and visualization technology, the combination of geology technology and computer big data technology is formed, and the method is a new technology for prospecting prediction at present and can be applied to prospecting initial prediction of the type.

Description

technical field [0001] The invention belongs to the technical field of metallogenic prediction of sandstone-type uranium ore, and in particular relates to a large data geological analysis method for metallogenic prediction of sandstone-type uranium ore. Background technique [0002] At present, there are many methods of metallogenic prediction, mainly in the direction of metallogenic law, ore-prospecting model, and metallogenic characteristics. Although these directions are important factors for metallogenic prediction, they also have technical limitations. Also lack of consideration. Therefore, there is a need for a big data geological analysis technology that combines ore deposit science, geology and big data technology, summarizes the metallogenic laws and metallogenic models, establishes regional metallogenic models, and establishes as many mathematical method models as possible. Geology, geophysical prospecting, chemical prospecting, and remote sensing information are ...

Claims

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Application Information

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IPC IPC(8): G06F16/29G06F16/21G06F16/26
CPCG06F16/29G06F16/21G06F16/26
Inventor 陈霜鲁超彭云彪刘方瑜杨丽娟王文旭
Owner 核工业二0八大队
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