A fast physics-based data-driven surrogate model for unconventional reservoirs with rapid decline and well interference-Reference-Cited by-同舟云学术

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A fast physics-based data-driven surrogate model for unconventional reservoirs with rapid decline and well interference

Published:2024-06 Issue: Volume:237 Page:212772
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Wang Zhenzhen^ORCID

Publisher

Elsevier BV

Reference35 articles.

1. Inferring interwell connectivity only from well-rate fluctuations in waterfloods (SPE paper 83381);Albertoni;SPE Reserv. Eval. Eng.,2003

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

3. Field experiences with assisted and automatic history matching using streamline models (SPE paper 89857);Cheng,2004

4. Streamline Simulation: Theory and Practice;Datta-Gupta,2007

5. Machine-learning-assisted closed-loop reservoir management using echo state network for mature fields under waterflood (SPE paper 200862);Deng;SPE Reserv. Eval. Eng.,2020

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