11 citations · 11 across the 2 of their papers we have counts for
3 papers
Estimating oil recovery factor using machine learning: Applications of XGBoost classification
Alireza Roustazadeh, Behzad Ghanbarian, Frank Male +3
In petroleum engineering, it is essential to determine the ultimate recovery factor, RF, particularly before exploitation and exploration. However, accurately estimating requires d…
Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability
Alireza Roustazadeh, Behzad Ghanbarian, Mohammad B. Shadmand +2
With recent advances in artificial intelligence, machine learning (ML) approaches have become an attractive tool in petroleum engineering, particularly for reservoir characterizati…
Application of effective medium theory to estimate gas permeability in tight-gas sandstones
Behzad Ghanbarian, Carlos Torres-Verdin, Larry W. Lake +1
Upscaling Klinkenberg-corrected gas permeability, k, in unconventional tight sandstones has numerous practical applications, particularly in gas exploration and production. In this…