An artificial-neural-network-based surrogate modeling workflow for reactive transport modeling

An artificial-neural-network-based surrogate modeling workflow for reactive transport modeling

Process-based reactive transport modeling (RTM) integrates thermodynamic and kinetically controlled fluid-rock interactions with fluid flow through porous media in the subsurface and surface environment. RTM is usually conducted through numerical programs based on the first principle of physical pro...

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Bibliographic Details
Main Authors: Yupeng Li, Peng Lu, Guoyin Zhang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-02-01
Series:Petroleum Research
Subjects:
Reactive transport modeling
Surrogate model
Machine learning
Dolomitization
Carbonate reservoir
Online Access:http://www.sciencedirect.com/science/article/pii/S2096249521000454

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