DOI: 10.2118/197498-ms
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Pejman Shoeibi Omrani, Adrian Luciano Vecchia, Iulian Dobrovolschi, Thijs Van Baalen, Jonah Poort, Ryvo Octaviano, Huzaifah Binn-Tahir, Esteban Muñoz

Abstract: Abstract Reliable forecasting of production rates from mature hydrocarbon fields is crucial both in optimizing their operation (via short-term forecasts) and in making reliable reserves estimations (via long-term forecasts). Several approaches may be employed for production forecasting from the industry standard decline curve analysis, to new technologies such as machine learning. The goal of this study is to assess the potential of utilizing deep learning and hybrid modelling approaches for pro…

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