RockFlow: Fast Generation of Synthetic Source Rock Images Using Generative Flow Models

RockFlow: Fast Generation of Synthetic Source Rock Images Using Generative Flow Models

Image-based evaluation methods are a valuable tool for source rock characterization. The time and resources needed to obtain images has spurred development of machine-learning generative models to create synthetic images of pore structure and rock fabric from limited image data. While generative mod...

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Bibliographic Details
Main Authors: Timothy I. Anderson, Kelly M. Guan, Bolivia Vega, Saman A. Aryana, Anthony R. Kovscek
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Energies
Subjects:
porous media
image analysis
shale
deep learning
generative flow model
Online Access:https://www.mdpi.com/1996-1073/13/24/6571

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