Screening of waterflooding using smart proxy model coupled with deep convolutional neural network-Reference-Cited by-同舟云学术

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Screening of waterflooding using smart proxy model coupled with deep convolutional neural network

Published:2023-02 Issue: Volume:221 Page:111300
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Bahrami Peyman,James Lesley A.^ORCID

Publisher

Elsevier BV

Reference93 articles.

1. Data-driven surrogates for rapid simulation and optimization of WAG injection in fractured carbonate reservoirs;Agada;Petrol. Geosci.,2017

2. Surrogate-based Aerodynamic Design Optimization: Use of Surrogates in Aerodynamic Design Optimization;Ahmed,2009

3. A data-driven smart proxy model for a comprehensive reservoir simulation;Alenezi,2016

4. Optimum decision-making in reservoir managment using reduced-order models;Alghareeb,2013

5. History match tuning through different upscaling algorithms;Allam,2004

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