A comparative study of MLP and LSTM neural networks for shale gas production prediction based on numerical simulation data

• Xiaoou Fei,

  Roles Conceptualization, Methodology, Writing – original draft

  Affiliation School of Green Mining and Resource Engineering, Liaoning Petrochemical University, Fushun, Liaoning, China

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• Man Ye,

  Roles Conceptualization, Data curation, Software, Writing – original draft

  Affiliation School of Mechanics and Engineering, Liaoning Technical University, Fuxin, Liaoning, China

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• Zhou Du,

  Roles Methodology, Visualization, Writing – review & editing

  Affiliation School of Mechanics and Engineering, Liaoning Technical University, Fuxin, Liaoning, China

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• Haibin Miao

  Roles Funding acquisition, Project administration, Writing – review & editing

  * E-mail: syy_mhb@sina.com

  Affiliations China Coal Technology and Engineering Group Shenyang Research Institute, Fushun, Liaoning, China, State Key Laboratory of Disaster Prevention and Ecology Protection in Open-pit Coal Mines, Fushun, Liaoning, China

  https://orcid.org/0009-0001-4379-0415

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