Well performance prediction based on Long Short-Term Memory (LSTM) neural network-Reference-Cited by-同舟云学术

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Well performance prediction based on Long Short-Term Memory (LSTM) neural network

Published:2022-01 Issue: Volume:208 Page:109686
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Huang Ruijie^ORCID,Wei Chenji,Wang Baohua,Yang Jian,Xu Xin,Wu Suwei,Huang Suqi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference47 articles.

1. Analysis of decline curves;Arps;Trans. AIME,1945

2. Prediction of wax appearance temperature using artificial intelligent techniques;Benamara;Arabian J. Sci. Eng.,2020

3. Reservoir Simulation: Mathematical Techniques in Oil Recovery, CBMS-NSF Regional Conference Series in Applied Mathematics;Chen,2007

4. Computational Methods for Multiphase Flows in Porous Media;Chen,2006

5. Understanding LSTM Networks;Colah,2015

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