An advanced computational intelligent framework to predict shear sonic velocity with application to mechanical rock classification

Abstract Shear sonic wave velocity (Vs) has a wide variety of implications, from reservoir management and development to geomechanical and geophysical studies. In the current study, two approaches were adopted to predict shear sonic wave velocities (Vs) from several petrophysical well logs, includin...

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Bibliographic Details
Main Authors: Majid Safaei-Farouji, Meysam Hasannezhad, Iman Rahimzadeh Kivi, Abdolhossein Hemmati-Sarapardeh
Format: Article
Language:English
Published: Nature Portfolio 2022-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-08864-z