S. Rashidi

Shear modulus prediction of embedded pressurized salt layers and pinpointing zones at risk of casing collapse in oil and gas wells

David A. Wood, Mehdi Ahmadi Alvar, K. Shahbazi, 2020 .

Effects of Rib Shapes on the Entropy Generation in a Ribbed Duct

J. A. Esfahani, S. Rashidi, S. Rashidi, 2018, Journal of Thermophysics and Heat Transfer.

A geomechanical approach to casing collapse prediction in oil and gas wells aided by machine learning

David A. Wood, Hamzeh Ghorbani حمزه قربانی, N. Mohamadian, 2021 .

Committee Machine-Ensemble as a General Paradigm for Accurate Prediction of Bubble Point Pressure of Crude Oil

S. Rashidi, Mohammad Khajehesfandeari, 2021 .

Smart computing approach for design and scale-up of conical spouted beds with open-sided draft tubes

Seyyed Hossein Hosseini, M. Karimi, B. Vaferi, 2021, Particuology.

A new robust predictive model for lost circulation rate using convolutional neural network: A case study from Marun Oilfield

S. Rashidi, Mohammad Mehrad, Farshad Jafarizadeh, 2022, Petroleum.

Determination of bubble point pressure & oil formation volume factor of crude oils applying multiple hidden layers extreme learning machine algorithms

Jamshid Moghadasi, Hamzeh Ghorbani, Mohammad Mehrad, 2021, Journal of Petroleum Science and Engineering.

Adaptive neuro-fuzzy algorithm applied to predict and control multi-phase flow rates through wellhead chokes

David A. Wood, N. Mohamadian, S. Rashidi, 2020 .

A new approach to mechanical brittleness index modeling based on conventional well logs using hybrid algorithms

S. Rashidi, Mohammad Mehrad, S. Davoodi, 2023, Earth Science Informatics.