Rock physics model-based prediction of shear wave velocity utilizing machine learning technique for a carbonate reservoir, southwest Iran

Author:

Azadpour Morteza,Saberi Mohammad Reza,Javaherian Abdolrahim,Shabani Mehdi

Funder

Gaussian

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference61 articles.

1. A review on machine learning: trends and future prospects;Aery;Research Cell: Int. J. Eng. Sci.,2017

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. Shear wave travel time estimation from petrophysical logs using ANFIS-PSO algorithm: a case study from Ab-Teymour Oilfield;Anemangely;J. Nat. Gas Sci. Eng.,2017

4. Controls on sonic velocity in carbonates;Anselmetti;Pure Appl. Geophys.,1993

5. The velocity-deviation log: a tool to predict pore type and permeability trends in carbonate drill holes from sonic and porosity or density logs;Anselmetti;AAPG (Am. Assoc. Pet. Geol.) Bull.,1999

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