Learning the factors controlling mineral dissolution in three-dimensional fracture networks: applications in geologic carbon sequestration

Learning the factors controlling mineral dissolution in three-dimensional fracture networks: applications in geologic carbon sequestration

We perform a set of high-fidelity simulations of geochemical reactions within three-dimensional discrete fracture networks (DFN) and use various machine learning techniques to determine the primary factors controlling mineral dissolution. The DFN are partially filled with quartz that gradually disso...

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Bibliographic Details
Main Authors: Aleksandra A. Pachalieva, Jeffrey D. Hyman, Daniel O’Malley, Gowri Srinivasan, Hari Viswanathan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Environmental Science
Subjects:
discrete fracture networks
flow and reactive transport
geologic carbon sequestration
mineral dissolution
machine learning
regression model
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2024.1454295/full
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