Jassem Abbasi
Cited by
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Modified shape factor incorporating gravity effects for scaling countercurrent imbibition
J Abbasi, M Riazi, M Ghaedi, A Mirzaei-Paiaman
Journal of Petroleum Science and Engineering 150, 108-114, 2017
A new numerical approach for investigation of the effects of dynamic capillary pressure in imbibition process
J Abbasi, M Ghaedi, M Riazi
Journal of Petroleum Science and Engineering 162, 44-54, 2018
Prediction of critical multiphase flow through chokes by using a rigorous artificial neural network method
S Rashid, A Ghamartale, J Abbasi, H Darvish, A Tatar
Flow Measurement and Instrumentation 69, 101579, 2019
Discussion on similarity of recovery curves in scaling of imbibition process in fractured porous media
J Abbasi, M Ghaedi, M Riazi
Journal of Natural Gas Science and Engineering 36, 617-629, 2016
Physical activation functions (pafs): An approach for more efficient induction of physics into physics-informed neural networks (pinns)
J Abbasi, PØ Andersen
arXiv preprint arXiv:2205.14630, 2022
Impact of solutal Marangoni convection on oil recovery during chemical flooding
S Palizdan, J Abbasi, M Riazi, MR Malayeri
Petroleum Science, 1-20, 2020
Theoretical comparison of two setups for capillary pressure measurement by centrifuge
J Abbasi, PØ Andersen
Heliyon 8 (9), 1-18, 2022
Improvements in scaling of counter-current imbibition recovery curves using a shape factor including permeability anisotropy
J Abbasi, S Sarafrazi, M Riazi, M Ghaedi
Journal of Geophysics and Engineering 15 (1), 135, 2018
A simulation investigation of performance of polymer injection in hydraulically fractured heterogeneous reservoirs
J Abbasi, B Raji, M Riazi, A Kalantariasl
Journal of Petroleum Exploration and Production Technology 7, 813-820, 2017
Simulation and Prediction of Countercurrent Spontaneous Imbibition at Early and Late Time Using Physics-Informed Neural Networks
J Abbasi, PØ Andersen
Energy & Fuels 37 (18), 13721–13733, 2023
A multiscale study on the effects of dynamic capillary pressure in two-phase flow in porous media
J Abbasi, M Ghaedi, M Riazi
Korean Journal of Chemical Engineering 37, 2124-2135, 2020
Prediction of permeability of tight sandstones from mercury injection capillary pressure tests assisted by a machine-learning approach
J Abbasi, J Zhao, S Ahmed, L Jiao, PØ Andersen, J Cai
Yandi Scientific Press, 2022
Improved Initialization of Non-Linear Solvers in Numerical Simulation of Flow in Porous Media With a Deep Learning Approach
J Abbasi, PØ Andersen
SPE Europec featured at EAGE Conference and Exhibition?, D031S008R005, 2022
Modelling The Spread of COVID-19 Using The Fundamental Principles of Fluid Dynamics
HS Rabbani, K Osei-Bonsu, J Abbasi, PK Osei-Bonsu, TD Seers
medRxiv, 2020.06. 24.20139071, 2020
A Discussion about the effect of considering the dynamic capillary forces on dissimilarity of imbibition recovery curves
J Abbasi, M Ghaedi, M Riazi
Saint Petersburg 2018 2018 (1), 1-5, 2018
Application of Physics-Informed Neural Networks for Estimation of Saturation Functions from Countercurrent Spontaneous Imbibition Tests
J Abbasi, P Østebø Andersen
SPE Journal, 1-20, 2024
Modelling COVID-19 using the Fundamentals of Fluid Dynamics (preprint)
H Rabbani, K Osei-Bonsu, J Abbasi, PK Osei-Bonsu, TD Seers
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