Rock physics and machine learning comparison: elastic properties prediction and scale dependency

Rock physics and machine learning comparison: elastic properties prediction and scale dependency

Rock physics diagnostics (RPD) established based upon the well data are used to deterministically predict elastic properties of rocks from measured petrophysical rock parameters. However, with the recent advances in statistical methods, machine learning (ML) can help to build a shortcut between raw...

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Bibliographic Details
Main Authors: Vagif Suleymanov, Ammar El-Husseiny, Guenther Glatz, Jack Dvorkin
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Earth Science
Subjects:
rock physics
machine learning (ML)
seismic scale
petrophyisics
elastic properities
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1095252/full

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