Prediction of sonic log using petrophysical logs via machine learning technique

The sonic log is the pivotal parameter for the reservoir description and fluid identification and is extensively applied in determining mechanical rock properties for rock physics, quantitative seismic interpretation, and geomechanics application. There is frequently a paucity of shear wave velocity...

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Bibliographic Details
Main Author: Mohamad Shabari, Ahmad Nasuha
Format: Thesis
Language:English
Published: 2022
Subjects:
Online Access:http://eprints.utm.my/id/eprint/102522/1/AhmadNasuhaMohamadMSChE2022.pdf
http://eprints.utm.my/id/eprint/102522/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:152290
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