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I would like to invite readers to review the selection of papers to get an idea of various applications in the upstream oil and gas space where ML methods have been used. The highlighted papers cover the use of transformer-based models to predict oil production, the use of data analytics to study parent/child well relationships in shale plays, and the use of convolutional neural networks in core analysis.

United statesTamil naduSeaby edgar bernierCasesby alfio malossiSystemsby sirivan chaleunxayYagna orugantiEngineering analytics advisory committeeBaker hughesAmazon web servicesIndian institute of technology madrasUniversity of texas at austinInternational energy agencyGas industry in energy transitionsGas industrySubsurface data processingLanguage processing