Machine learning application for prediction of sonic wave transit time - A case of Niger Delta basin

Machine learning application for prediction of sonic wave transit time - A case of Niger Delta basin

Sonic wave transit times are the major logs for estimating pertinent geomechanical parameters including overburden stress, pore pressure, effective stress, and unconfined compressible strength among others. These logs contain much important information about subsurface formation. However, in most oi...

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Bibliographic Details
Main Authors: Oluwaseun Daniel Akinyemi, Mohamed Elsaadany, Numair Ahmed Siddiqui, Sami Elkurdy, John Oluwadamilola Olutoki, Md Mahmodul Islam
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Results in Engineering
Subjects:
Gradient boosting model
Sonic wave transit time
Artificial neural network
Performance metrics
Geomechanical parameters
Niger Delta basin
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123023006552

Internet

http://www.sciencedirect.com/science/article/pii/S2590123023006552

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