A novel method for lithofacies prediction in shale gas reservoirs that integrates traditional machine learning and deep learning techniques: a case study of the Lower Cambrian Qiongzhusi Formation in Sichuan Basin
1 School of Geoscience and Technology,Southwest Petroleum University,Chengdu 610500,China
2 Natural Gas Geology Key Laboratory of Sichuan Province,Sothwest Petroleum University,Chengdu 610500,China
3 National Key Laboratory of Oil & Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu 610500,China
4 Research Institute of Shale gas,PetroChina Southwest Oil & Gasfield Company,Chengdu 610051,China
5 PetroChina Southwest Oil and Gas Field Company,Chengdu 610051, China
6 Institute of Exploration and Development,SINOPEC Shanghai Offshore Oil & Gas Company,Shanghai 200120,China
7 Southwest Branch,CNPC Logging Company Limited,Chongqing 400021,China
YAN Jianping,born in 1980,doctor of science,professor,doctoral supervisor,mainly engaged in the teaching and research work of logging geology,rock physics and unconventional oil and gas logging evaluation. E-mail:
yanjp_tj@163.com.
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LIAO Yan,born in 2001,is a master's student in Southwest Petroleum University. The research direction is logging geology,logging artificial intelligence processing and interpretation. E-mail: 18283426959@163.com.
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