Finite element and neural network models to forecast gas well inflow performance of shale reservoirs

HIGHLIGHTS

  • who: Reda Abdel Azim and Abdulrahman Aljehani from the Petroleum Engineering Department, American University of Kurdistan, Sumel, Iraq Faculty of Earth Sciences, King Abdulaziz University, Jeddah, Saudi Arabia have published the paper: Finite Element and Neural Network Models to Forecast Gas Well Inflow Performance of Shale Reservoirs, in the Journal: Processes 2022, 10, x FOR PEER REVIEW of 29/Nov/2022
  • what: The model is verified against an analytical solution for methane depletion and the results show the robustness of the developed finite element model in this study. The results of this study show that . . .

     

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