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...

Full description

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

Internet

http://www.sciencedirect.com/science/article/pii/S2096249521000454

Similar Items