Jassem Abbasi

Forsker

Jassem Abbasi

Kontakt

E-post: jassem.abbasi@uis.no

Organisasjonsenhet

Det teknisk- naturvitenskapelige fakultet

Institutt for energiressurser

Publikasjoner

Vitenskapelige publikasjoner

Jassem Abbasi; Ameya D. Jagtap; Ben Moseley; Aksel Hiorth; Pål Østebø Andersen (2025) Challenges and advancements in modeling shock fronts with physics-informed neural networks: A review and benchmarking study. I: Neurocomputing. ISSN 0925-2312. Volum 657. DOI: 10.1016/j.neucom.2025.131440

Jassem Abbasi; Ben Moseley; Takeshi Kurotori; Ameya Jagtap; Anthony R. Kovscek; Aksel Hiorth; Pål Østebø Andersen (2025) History-Matching of imbibition flow in fractured porous media Using Physics-Informed Neural Networks (PINNs). I: Computer Methods in Applied Mechanics and Engineering. ISSN 0045-7825. Volum 437. DOI: 10.1016/j.cma.2025.117784

Jassem Abbasi; Pål Østebø Andersen (2024) Application of Physics-Informed Neural Networks for Estimation of Saturation Functions from Countercurrent Spontaneous Imbibition Tests. I: SPE Journal. ISSN 1086-055X. Volum 29. s.1710-1729. DOI: 10.2118/218402-PA

Jassem Abbasi; Pål Østebø Andersen (2023) Simulation and Prediction of Countercurrent Spontaneous Imbibition at Early and Late Times Using Physics-Informed Neural Networks. I: . ., SPE EuropEC - Europe Energy Conference featured at the 84th EAGE Annual Conference & Exhibition June 5–8, 2023 Vienna, Austria. Society of Petroleum Engineers. ISBN 9781613999912. DOI: 10.2118/214433-MS

Jassem Abbasi; Jiuyu Zhao; Sameer Ahmed; Liang Jiao; Pål Østebø Andersen; Jianchao Cai (2022) Prediction of permeability of tight sandstones from mercury injection capillary pressure tests assisted by a machine-learning approach. I: Capillarity. ISSN 2709-2119. Volum 5. s.91-104. DOI: 10.46690/capi.2022.05.02

Jassem Abbasi; Pål Østebø Andersen (2022) Theoretical comparison of two setups for capillary pressure measurement by centrifuge. I: Heliyon. Online ISSN 2405-8440. Volum 8. DOI: 10.1016/j.heliyon.2022.e10656

Formidling

Jassem Abbasi; Pål Østebø Andersen (2022) Improved Initialization of Non-Linear Solvers in Numerical Simulation of Flow in Porous Media with a Deep Learning Approach. SPE EuropEC - Europe Energy Conference featured at the 83rd EAGE Annual Conference & Exhibition; 2022-06-15 - 2022-06-21.

Kilde: Nasjonalt vitenarkiv