Estimation of shear wave velocity in an Iranian oil reservoir using machine learning methods
Author:
Publisher
Elsevier BV
Subject
Geotechnical Engineering and Engineering Geology,Fuel Technology
Reference65 articles.
1. Predicting of shear wave velocity using Artificial Neural Networks;Adjei,2020
2. Prediction of shear wave velocity using artificial neural network technique, multiple regression and petrophysical data: a case study in Asmari reservoir (SW Iran);Akhundi;Open J. Geol.,2014
3. Watching rocks change-mechanical earth modeling;Ali;Oilfield Rev.,2003
4. Machine learning technique for the prediction of shear wave velocity using petrophysical logs;Anemangely;J. Petrol. Sci. Eng.,2019
5. Prediction of compressional, shear, and stoneley wave velocities from conventional well log data using a committee machine with intelligent systems;Asoodeh;Rock Mech. Rock Eng.,2012
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