Prediction performance advantages of deep machine learning algorithms for two-phase flow rates through wellhead chokes

Abstract Two-phase flow rate estimation of liquid and gas flow through wellhead chokes is essential for determining and monitoring production performance from oil and gas reservoirs at specific well locations. Liquid flow rate (QL) tends to be nonlinearly related to these influencing variables, maki...

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Huvudupphov:	Hossein Shojaei Barjouei, Hamzeh Ghorbani, Nima Mohamadian, David A. Wood, Shadfar Davoodi, Jamshid Moghadasi, Hossein Saberi
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	SpringerOpen 2021-02-01
Serie:	Journal of Petroleum Exploration and Production Technology
Ämnen:	Two-phase oil/gas flow rate Wellhead choke-influencing variables Deep versus machine learning Large field datasets Overfitting considerations
Länkar:	https://doi.org/10.1007/s13202-021-01087-4
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