Items where Author is "Alakbari, F.S."

Article

Mohyaldinn, M.E. and Alakbari, F.S. and Bin Azman Nor, A.N.A. and Hassan, A.M. (2023) Stability, Rheological Behavior, and pH Responsiveness of CTAB/HCl Acidic Emulsion: Experimental Investigation. ACS Omega, 8 (25). pp. 22428-22439. ISSN 24701343

Alakbari, F.S. and Mohyaldinn, M.E. and Ayoub, M.A. and Salih, A.A. and Abbas, A.H. (2023) A decision tree model for accurate prediction of sand erosion in elbow geometry. Heliyon, 9 (7). ISSN 24058440

Alakbari, F.S. and Mohyaldinn, M.E. and Ayoub, M.A. and Muhsan, A.S. and Hussein, I.A. (2023) A robust Gaussian process regression-based model for the determination of static Young�s modulus for sandstone rocks. Neural Computing and Applications, 35 (21). pp. 15693-15707. ISSN 09410643

Alakbari, F.S. and Mohyaldinn, M.E. and Ayoub, M.A. and Muhsan, A.S. and Hussein, I.A. (2022) An Accurate Reservoir's Bubble Point Pressure Correlation. ACS Omega, 7 (15). pp. 13196-13209.

Ayoub Mohammed, M.A. and Alakbari, F.S. and Nathan, C.P. and Mohyaldinn, M.E. (2022) Determination of the Gas-Oil Ratio below the Bubble Point Pressure Using the Adaptive Neuro-Fuzzy Inference System (ANFIS). ACS Omega.

Abduljabbar, A. and Mohyaldinn, M.E. and Younis, O. and Alghurabi, A. and Alakbari, F.S. (2022) Erosion of sand screens by solid particles: a review of experimental investigations. Journal of Petroleum Exploration and Production Technology.

Abduljabbar, A. and Mohyaldinn, M.E. and Younis, O. and Alghurabi, A. and Alakbari, F.S. (2022) Erosion of sand screens: A review of erosion prediction modelling approaches. Powder Technology, 407.

Abduljabbar, A. and Mohyaldinn, M.E. and Younis, O. and Alghurabi, A. and Alakbari, F.S. (2022) Erosion of sand screens: A review of erosion prediction modelling approaches. Powder Technology, 407.

Alakbari, F.S. and Mohyaldinn, M.E. and Ayoub, M.A. and Muhsan, A.S. and Abdulkadir, S.J. and Hussein, I.A. and Salih, A.A. (2022) Prediction of critical total drawdown in sand production from gas wells: Machine learning approach. Canadian Journal of Chemical Engineering.

Ayoub, M.A. and Elhadi, A. and Fatherlhman, D. and Saleh, M.O. and Alakbari, F.S. and Mohyaldinn, M.E. (2022) A new correlation for accurate prediction of oil formation volume factor at the bubble point pressure using Group Method of Data Handling approach. Journal of Petroleum Science and Engineering, 208.

Alakbari, F.S. and Mohyaldinn, M.E. and Ayoub, M.A. and Muhsan, A.S. and Hussein, I.A. (2022) A reservoir bubble point pressure prediction model using the Adaptive Neuro-Fuzzy Inference System (ANFIS) technique with trend analysis. PLoS ONE, 17 (8 Augu).