Using Machine Learning to Predict Multiphase Flow through Complex Fractures

Using Machine Learning to Predict Multiphase Flow through Complex Fractures

Multiphase flow properties of fractures are important in engineering applications such as hydraulic fracturing, evaluating the sealing capacity of caprocks, and the productivity of hydrocarbon-bearing tight rocks. Due to the computational requirements of high fidelity simulations, investigations of...

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Bibliographic Details
Main Authors: Allen K. Ting, Javier E. Santos, Eric Guiltinan
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Energies
Subjects:
machine learning
multiphase flow
unsteady-state
time-dependency
hydraulic fractures
lattice-Boltzmann
Online Access:https://www.mdpi.com/1996-1073/15/23/8871

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https://www.mdpi.com/1996-1073/15/23/8871

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