Font Size: a A A

Analysis On Geotherm Distribution And Its Influencing Factors In Southern Guoyang Coalmine Area

Posted on:2016-09-22Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhangFull Text:PDF
GTID:2180330467990922Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
In order to study the geothermal distribution characteristics and its influence in the Southern Guoyang mining area, combined with the measurement data of70simple temperature measuring holes and11approximate steady-state temperature measuring hole, analysis of each mine heat disaster situation, simulation of southern Guoyang mining area of geothermal field by COMSOL Multiphysics.Temperature distribution of the study area is mainly affected by burial depth in vertical, the ground temperature increased with the increase of buried depth, and shows good linear trend.the main coal seam floor82elevation of H (m) and T (℃) is proportional, the linear formula is T=-0.024x+20.659,correlation coefficient R2is0.7173; the correlation formula respectively is T=-0.0237H+20.253, T=-0.027SH+14.626, T=-0.0263H+17.857of Guobei, Xinhu coal mine and Western Huagou exploration area.In the plane, the ground temperature increased gradually from west to east west trend, The average geothermal gradient is2.66℃/hm. Western Huagou exploration, geothermal gradient value is2.62℃/hm, relatively low, Guobei coal mine geothermal gradient value is the highest,2.75℃/hm, Xinhu coal mine second, geothermal gradient value is2.72℃/hm. Temperature significantly affected by geological structure, fault and anticline controlled dense at relatively high geothermal gradient, and by the control at low temperature values for the syncline area. New strata, geological structure and groundwater in the study area have certain influence to the geothermal field.The numerical simulation software is simulated by using COMSOL Multiphysics, the loose layer thickness and fault on temperature control effect, the model of the deep coal mining has guiding significance.
Keywords/Search Tags:geothermal distribution, influence factors, numerical modeling, guoyangcoalmine, huaibei coalfield
PDF Full Text Request
Related items