Synthetic shear sonic log generation utilizing hybrid machine learning techniques

Synthetic shear sonic log generation utilizing hybrid machine learning techniques

Compressional and shear sonic logs (DTC and DTS, respectively) are one of the effective means for determining petrophysical/geomechanical properties. However, the DTS log has limited availability mainly due to high acquisition costs. This study introduces a hybrid machine learning approach to genera...

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Bibliographic Details
Main Author: Jongkook Kim
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2022-12-01
Series:Artificial Intelligence in Geosciences
Subjects:
Synthetic log
Data clustering
Particle swarm optimization (PSO)
Support vector machine (SVM)
Deep neural network (DNN)
Long short-term memory (LSTM)
Online Access:http://www.sciencedirect.com/science/article/pii/S2666544122000259

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http://www.sciencedirect.com/science/article/pii/S2666544122000259

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