A Fully-Self-Adaptive Harmony Search GMDH-Type Neural Network Algorithm to Estimate Shear-Wave Velocity in Porous Media

A Fully-Self-Adaptive Harmony Search GMDH-Type Neural Network Algorithm to Estimate Shear-Wave Velocity in Porous Media

Shear wave velocity (V<sub>S</sub>) is one of the most important parameters in deep and surface studies and the estimation of geotechnical design parameters. This parameter is widely utilized to determine permeability and porosity, lithology, rock mechanical parameters, and fracture asse...

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Bibliographic Details
Main Authors: Ahmad Taheri, Esmael Makarian, Navid Shad Manaman, Heongkyu Ju, Tae-Hyung Kim, Zong Woo Geem, Keyvan RahimiZadeh
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
shear wave velocity prediction
artificial neural networks
well-logging data
petroleum reservoir
metaheuristic algorithms
harmony search
Online Access:https://www.mdpi.com/2076-3417/12/13/6339

Internet

https://www.mdpi.com/2076-3417/12/13/6339

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