Mohammadkazem Amiri
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View article: Machine learning prediction of compressional slowness in fractured carbonates: balancing data volume and incremental log features
Machine learning prediction of compressional slowness in fractured carbonates: balancing data volume and incremental log features Open
Slowness is the reciprocal of velocity and known as a standard parameter recorded in sonic logs. Knowledge of compressional (P-wave) slowness (DTC) is vital for structural, geomechanical, and petrophysical analyses of subsurface formations…
View article: Evaluation of empirical relationships in carbonates by developing a 1D mechanical earth model in an oil field in Southwestern Iran
Evaluation of empirical relationships in carbonates by developing a 1D mechanical earth model in an oil field in Southwestern Iran Open
View article: Stacked machine learning models for accurate estimation of shear and Stoneley wave transit times in DSI log
Stacked machine learning models for accurate estimation of shear and Stoneley wave transit times in DSI log Open
View article: Developing a relationship between static Young’s modulus and seismic parameters
Developing a relationship between static Young’s modulus and seismic parameters Open
Mechanical properties of petroleum reservoirs can be determined via static techniques based on laboratory triaxial tests under reservoir conditions. Dynamic approaches represent an alternative in cases where such static laboratory data are…