Hi, this is Jassem Abbasi!
Reservoir Engineer | Scientific Machine Learning Engineer
A researcher with experience in working close with university and industry, professional in numerical analysis of physical processes, especially flow in porous media and three years of research in the field of Scientific Machine Learning, and Deep Learning.
NEWS
>> [May. 2024] Hot!!! I have been awarded the 'Best PhD Student of the Year' award by SPE Stavanger Section!
>> [Jun. 2024] I will (co)chair two technical sessions (ML & AI for Geological Characterization) at EAGE Annual Conference 2024 in Oslo.
>> [Feb. 2024] I am going to present in NCS2030 Monthly Webinar Series.
>> [Apr. 2024] I am going to present in ENERGY NORWAY 2024 Conference, in Stavanger, Norway.
>> [Nov. 2023] I have presented in OTD conference in Stavanger, Norway.
>> [Jun. 2023] I have attended in PINNs summer school at KTH, Stockholm, Sweden.
Skills [Computer Science]
- Python
- C#
- MATLAB
- PyTorch
- TensorFlow
- Sklearn, SciPy, (…)
- Git
- Azure ML
- Databases (MySQL)
- GPU Computing
- PowerBI
- Adobe Photoshop
- OOP (Object Oriented Programming)
Skills [Reservoir Engineering]
- Reservoir Simulation [ECLIPSE, CMG, MRST, ...]
- CFD [COMSOL, OpenFoam]
- Petrel RE
- PVTi, PVTsim (…)
- Pipesim
- PTA (welltesting)
EXPERIENCES
ETH Zurich, Switzerland (Summer 2024)
Visiting Researcher at ETH AI
UNIVERSITY OF STAVANGER, Norway (2021-2024)
PhD Research Fellow in Petroleum Technology/ Artificial Intelligence
EQUINOR ASA, Norway (2022)
Subsurface Engineer | Reservoir Simulation (intern)
NATIONAL IRANIAN OIL COMPANY (2019)
Reservoir Engineer
ZODAN SOLUTIONS LTD., UK (2018-2021)
Scientific Software Developer
SHIRAZ UNIVERSITY/PETROAZMA OIL COMPANY (2016-2018)
Reservoir Simulation Engineer | Research Assistant
PETROTIRAZIS OIL COMPANY PTED., Iran (2016)
Scientific Software Developer
Papers
SPE Journal [2024]
Application of Physics-Informed Neural Networks for Estimation of Saturation Functions from Countercurrent Spontaneous Imbibition Tests
- Reservoir Simulation
- Physics Informed Neural Networks
- Inverse Calculations
Energy and Fuels [2023]
Simulation and Prediction of Spontaneous Imbibition at Early and Late Times Using Physics-Informed Neural Networks
- PINNs
- Python
- PyTorch
Heliyon [2022]
Theoretical comparison of two setups for capillary pressure measurement by centrifuge
- Numerical Simulation
- Python
SPE Europec [2022]
Improved Initialization of Non-linear Solvers in Numerical Simulation of Flow in Porous Media with a Real-time Deep Learning Approach
- Python
- Numerical Simulation
- TensorFlow
Korean Journal of Chemical Engineering [2020]
A multiscale study on the effects of dynamic capillary pressure in two-phase flow in porous media
- Image Analysis
- Data Evaluation
Petroleum Science [2020]
On the Impact of Solutal Marangoni Convection during Chemical Flooding for Improved Oil Recovery
- Image Analysis
- Data Evaluation
Journal of Petroleum Science and Engineering [2018]
A new numerical approach for investigation of the effects of dynamic capillary pressure in imbibition process
- Numerical Simulation