New Insights into Fracture Porosity Estimations Using Machine Learning and Advanced Logging Tools

New Insights into Fracture Porosity Estimations Using Machine Learning and Advanced Logging Tools

Fracture porosity is crucial for storage and production efficiency in fractured tight reservoirs. Geophysical image logs using resistivity measurements have traditionally been used for fracture characterization. This study aims to develop a novel, hybrid machine-learning method to predict fracture p...

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Bibliographic Details
Main Authors: Ghoulem Ifrene, Doina Irofti, Ruichong Ni, Sven Egenhoff, Prasad Pothana
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Fuels
Subjects:
machine learning
SVM
ANN
fracture porosity prediction
anisotropy
well logging
Online Access:https://www.mdpi.com/2673-3994/4/3/21

Internet

https://www.mdpi.com/2673-3994/4/3/21

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