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《Progress in Geophysics》 2013-04
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Application of multi-parameter lithological seismic inversion in identifying sandstone of coalbed roof In Xinjing coal mine as an example

PENG Liu-ya1,2,CUI Ruo-fei1,2,REN Chuan2(1.Key Laboratory of CBM Resource & Reservoir Formation Process,Ministry of Education,Xuzhou 221008,China; 2.School of Resources & Geoscience,China University of Mining and Technology,Xuzhou 221116,China)  
Gas outburst occasions often happen in coalbed No.3 during the process of tunneling and extraction of Xinjing coalmine,Guo Yang New Energy Incorporated Company,bringing potential safety risk to mining exploit.According to the researches of gas geological principles from different mining districts,it seems very common that the gas problem is closely related to the coalbed roof lithology,sandstone and coal body structures,washed and destructed by the sandstone.In other words,the thicker the roof sandstone is,the thinner the coal is,and the more potential of the phenomenon of coal washing by the roof sandstone,which increases the possibility of gas outburst.Using seismic inversion to deeply detect the lithological change is one of the best options,which combines seismic data and log curve to improve the resolution of the earth underground.Usually,density and P-wave are considered when it comes to conventional impedance inversion,which has no effective impact when the density or P-wave has no great changes between the target layer and the other lithology.In this paper,well log curves in this area have been analyzed,in order to integrate these anomalies from two different curves into one curve that has both characteristics that reflect sandstone and coal at the same time,which considers multiple parameters of the target layer in order to identify it from other lithology.Using this integrated curve,multi-parameter lithological seismic inversion method has been applied to achieving the impedance data,which can be utilized to identify the spatial structure and lithological range of the roof sandstone.With this method applied to a real mining district of Xinjing Coalmine,the inverted results are highly consistent with actual well data,which indicates that the method is effective and efficient which is of great value in gas prediction and management.
【Fund】: 国家自然基金项目(40874054)资助;; 中国矿业大学中央高校基本科研业务费专项资金项目(2010ZDP01A07)联合资助
【CateGory Index】: P631.4;TD166
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