A deep gated recurrent neural network for petroleum production forecasting

A deep gated recurrent neural network for petroleum production forecasting

Forecasting of oil production plays a vital role in petroleum engineering and contributes to supporting engineers in the management of petroleum reservoirs. However, reliable production forecasting is difficult to achieve, particularly in view of the increase in digital oil big data. Although a sign...

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Bibliographic Details
Main Authors:	Raghad Al-Shabandar, Ali Jaddoa, Panos Liatsis, Abir Jaafar Hussain
Format:	Article
Language:	English
Published:	Elsevier 2021-03-01
Series:	Machine Learning with Applications
Subjects:	Deep gated recurrent unit networks Long short-term memory networks Recurrent Neural Networks
Online Access:	http://www.sciencedirect.com/science/article/pii/S266682702030013X

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