articleJournal of Petroleum Science and EngineeringDec 3, 2020Closed access

Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models

DADaniel Asante OtchereTOTarek Omar Arbi GanatRGRaoof GholamiSRSyahrir Ridha

Universiti Teknologi Petronas · University of Stavanger

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Topics
Keywords
  • Machine learning
  • Artificial intelligence
  • Support vector machine
  • Artificial neural network
  • Computer science
  • Reservoir computing
  • Scope (computer science)
  • Recurrent neural network
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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