Artificial Intelligence Model in Predicting Geomechanical Properties for Shale Formation: A Field Case in Permian Basin

Artificial Intelligence Model in Predicting Geomechanical Properties for Shale Formation: A Field Case in Permian Basin

Due to complexities in geologic structure, heterogeneity, and insufficient borehole information, shale formation faces challenges in accurately estimating the elastic properties of rock which triggers severe technical challenges in safe drilling and completion. These geomechanical properties could b...

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Bibliographic Details
Main Authors: Fatick Nath, Sarker Monojit Asish, Deepak Ganta, Happy Rani Debi, Gabriel Aguirre, Edgardo Aguirre
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Energies
Subjects:
geomechanical properties
deep neural network
artificial intelligence
sonic logs
Permian Basin
bi-directional long short-time memory
Online Access:https://www.mdpi.com/1996-1073/15/22/8752

Internet

https://www.mdpi.com/1996-1073/15/22/8752

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