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Aug.  2016
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Zhang Chunpeng wu Caifang Li TengZhang Xiaoyang, . Principal Component Analysis Method applied to evaluation on coalbed methane block selection[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (8).
Citation: Zhang Chunpeng wu Caifang Li TengZhang Xiaoyang, . Principal Component Analysis Method applied to evaluation on coalbed methane block selection[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (8).

Principal Component Analysis Method applied to evaluation on coalbed methane block selection

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  • Available Online: April 02, 2023
  • Published Date: August 24, 2016
  • in order to optimally select a favorable calbed methane block in westen Guizhou and eastern vunnantaking six major bocksas the stutyobject.therewere ten evaluation indexes of resource abundance,gas saturation,.average gas content gas beaing area.oatalseanm thickness. o.m2ax.avrage permeatiltyLlangmur olume.reservoir pressure and geostress selected. The Principal Component Analysis Method was appied to pick up three pincipal components from the muti- indexesand the three principal components were the property factor of the coal reservoirthe energy factorof the coal reservofr and the coabed metran resouce factor.Acoding to the weight sumn of the principal component score,the comprehensive score of each block was obtained.The study showed that the property contions of the coal reservoir in Zhin Mlining Area was goo. the resourcecontion and the coal reservoir energy co dtin of Panxian Mlining Area were ood and could be the optimizedblock ofcaled methane development.The resource condition and the cal reservoir energy condition of Shuicheng Mining Area and Liuzhi Mlning Area were good and could be optimized blocks of the coalbed methane development.L.aochang Mining Area and Emhong Mining Area were generalls controld by the coalreservoir enegyfactor and the resoure factor.But the coal reservoio property condition of the two mining areas was poo.which net the features of "small and faf and could be generablocks of the coalbed methane development.
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