Enhancing subsurface multiphase flow simulation with Fourier neural operator

Enhancing subsurface multiphase flow simulation with Fourier neural operator

Accurate numerical modeling of multiphase flow in subsurface oil and gas reservoirs is critical for optimizing hydrocarbon recovery. However, traditional physics-based algorithms face substantial computational hurdles due to the need for fine grid resolution and the inherent geological heterogeneity...

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Bibliographic Details
Main Authors: Xianlin Ma, Rong Zhong, Jie Zhan, Desheng Zhou
Format: Article
Language:English
Published: Elsevier 2024-09-01
Series:Heliyon
Subjects:
Multiphase flow
Fourier neural operator
Deep learning
Multi-fidelity
Super-resolution
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024141345

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http://www.sciencedirect.com/science/article/pii/S2405844024141345

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