Determination and investigation of shear wave velocity based on one deep/machine learning technique

Determination and investigation of shear wave velocity based on one deep/machine learning technique

Rock physics plays an important role in the oil, gas, and water industries by providing essential data for reservoir management. This study focuses on predicting Shear Wave Velocity (Vs), a key geophysical parameter, using the Deep Belief Network (DBN) and Random Forest (RF) algorithms. The dataset...

Full description

Bibliographic Details
Main Authors: Omid Hazbeh, Meysam Rajabi, Somayeh Tabasi, Sahar Lajmorak, Hamzeh Ghorbani, Ahmed E. Radwan, Mehdi Ahmadi Alvar, Omid Molaei
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Alexandria Engineering Journal
Subjects:
Shear wave velocity
Deep belief network
Random forest
Geomechanical parameter
Dep/machine learning algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824002242

Internet

http://www.sciencedirect.com/science/article/pii/S1110016824002242

Similar Items