Augmented deep learning workflow for robust fault prediction over multiple tectonic regimes

HIGHLIGHTS

• who: Haidong Chen and collaborators from the School of Energy Resources, China University of Geosciences (Beijing), Beijing, China Sinopec Jiang Han Oilfield service corporation (shale gas development technical service company), Wuhan, China , Sinopec Chong Qing Shale Gas Co, LTD. RandD Experimental Center, Chongqing, China , Stake Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, China , have published the Article: Augmented deep learning workflow for robust fault prediction over multiple tectonic regimes, in the Journal: (JOURNAL)
• what: The aim is to enhance the data volumes reflecting faults to make them . . .
  

   

  

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