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Gas Hosting Features And Risk Prediction Of Xiaoqing Mine Of Tiefa Coal

Posted on:2012-09-21Degree:MasterType:Thesis
Country:ChinaCandidate:W XuFull Text:PDF
GTID:2211330368484561Subject:Mineral prospecting and exploration
Abstract/Summary:PDF Full Text Request
Mine gas outburst is one of the main disasters which mine production, It should us that grasp the gas occurrence and emission laws,to prevent the outburst. This paper analysis Xiaoqing Mine geological structure, coal sedimentary characteristics, roof and floor lithology, magmatic rock distribution and hydro-geological and other factors affect gas deposit, and summarizing the coal seam gas deposit law. Using the method of multiple linear regression predictes gas content Ida. And comprehensive analysis of the collected gas mining areas on the basis of geological data, combined with gray relational theory, artificial neural network method of mining area is not made of gas emission prediction and evaluation, carried out on the Xiaoqing mine gas outburst risk zoning. Studies suggest that: 4-2 mine coal seam gas content in the whole show gradual increase from northeast to southwest trend of the larger gas content of the southwest; 7 coal seam gas content in coal seam the same trend and 4-2, the maximum also find in the southwest of Ida; 4-2 coal gas emission in coal from the north and south sides of the central south side gradually increased gas emission in the southwest a maximum value; 7 coal gas emission trends and 4-2 in the same coal seam, However, changes in magnitude from the point of view, significantly larger than the northern southwest. Coal gas outburst danger zone smaller range, most were non-prominent area of gas.
Keywords/Search Tags:Gas hosting features, Multiple linear regression, Gas emission projections, Grey, Neural network
PDF Full Text Request
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