Jassem Abbasi

Abbasi, Jassem; Andersen, Pål Østebø

(2024)

Application of Physics-Informed Neural Networks for Estimation of Saturation Functions from Countercurrent Spontaneous Imbibition Tests.

SPE Journal.

ISSN 1086-055X.

Volum 29.

Hefte 4.

s.1710-1729.

DOI: 10.2118/218402-PA

Abbasi, Jassem; Andersen, Pål Østebø

(2024)

Physical activation functions (PAFs): An approach for more efficient induction of physics into physics-informed neural networks (PINNs).

Neurocomputing.

ISSN 0925-2312.

Volum 608.

DOI: 10.1016/j.neucom.2024.128352

Abbasi, Jassem; Andersen, Pål Østebø

(2023)

Simulation and Prediction of Countercurrent Spontaneous Imbibition at Early and Late Time Using Physics-Informed Neural Networks.

Energy & Fuels.

ISSN 0887-0624.

DOI: 10.1021/acs.energyfuels.3c02271

Abbasi, Jassem; Andersen, Pål Østebø

(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 978-1-61399-991-2.

DOI: 10.2118/214433-MS

Abbasi, Jassem; Andersen, Pål Østebø

(2022)

Theoretical comparison of two setups for capillary pressure measurement by centrifuge.

Heliyon.

ISSN 2405-8440.

Volum 8.

Hefte 9.

DOI: 10.1016/j.heliyon.2022.e10656

Abbasi, Jassem; Zhao, Jiuyu; Ahmed, Sameer; Jiao, Liang; Andersen, Pål Østebø; Cai, Jianchao

(2022)

Prediction of permeability of tight sandstones from mercury injection capillary pressure tests assisted by a machine-learning approach.

Capillarity.

ISSN 2709-2119.

Volum 5.

Hefte 5.

s.91-104.

DOI: 10.46690/capi.2022.05.02

Abbasi, Jassem; Andersen, Pål Østebø

(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.