Prediction of fracture density in a gas reservoir using robust computational approaches

One of the challenges that reservoir engineers, drilling engineers, and geoscientists face in the oil and gas industry is determining the fracture density (FVDC) of reservoir rock. This critical parameter is valuable because its presence in oil and gas reservoirs boosts productivity and is pivotal f...

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Bibliographic Details

Published in:	Frontiers in Earth Science
Main Authors:	Guozhong Gao, Omid Hazbeh, Shadfar Davoodi, Somayeh Tabasi, Meysam Rajabi, Hamzeh Ghorbani, Ahmed E. Radwan, Mako Csaba, Amir H. Mosavi
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-01-01
Subjects:	machine learning least-squares support-vector machines fracture density prediction artificial intelligence energy
Online Access:	https://www.frontiersin.org/articles/10.3389/feart.2022.1023578/full