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Bio
I am a reservoir geophysicist with over 13 years of experience in oil and gas industry, machine learning researcher, and geophysical software developer using Python. I received B.S. (2006) in mining exploration and M.S. (2008) in geophysics (exploration seismology). After that, I worked as a geophysicist in the oil and gas industry from 2008 to 2017 in Iran and got involved in several exploration as well as field development megaprojects. My main expertise is seismic data interpretation and sub-surface reservoir characterization where I achieved invaluable experiences in clastic and carbonate reservoirs. I have obtained my Ph.D. degree in petroleum geoscience (seismic exploration) at Universiti Teknologi PETRONAS, Malaysia (January 2020). My thesis entitled: “New approach to reservoir properties prediction using petro-elastic inversion in a transversely isotropic media”. During my Ph.D. studies in Centre of Excellence in Subsurface Seismic Imaging and Hydrocarbon Prediction, I have practically contributed in seismic reservoir characterization of some research projects granted by PETRONAS in Malaysian Basin. My interests range widely, from seismic data processing to interpretation and reservoir modeling. However, I am more interested in seismic data interpretation, velocity model building, rock physics modeling, seismic data inversion, anisotropic AVO analysis, machine learning techniques and Petro-Elastic Inversion for petrophysical properties prediction and lithofacies classification, seismic fracture study, pore pressure prediction, and 4D (time lapse) studies. I am experienced in some industry commercial software such as Petrel, Hampson Russell, Jason, and Opendtect as well as programming software, i.e., Python and Matlab. I have mentored junior postgraduate students in exploration geophysics. I have published articles and book chapter in the prestigious geophysical journals. I did my postdoctoral research at Center for Petroleum Studies of Campinas University, Brazil. My research title was: Machine learning and deep learning application to predict reservoir properties on pre-salt carbonate rocks in Brazilian Basin. I am currently working as Geophysical Software Developer at Delft Inversion. I am eager to learn and discover new aspects of exploration and also share my experiences with others. Last but not least, I am very enthusiastic to get involved in the renewable energy studies such as geothermal and CCUS research and develop specific cutting-edge workflows for desired objectives.
Research Interests
Papers共 27 篇Author StatisticsCo-AuthorSimilar Experts
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PETROLEUM SCIENCE AND TECHNOLOGYno. 9 (2024): 1138-1154
Yasir Bashir,Numair Ahmed Siddiqui, Daniel Loro Morib,Amir Abbas Babasafari,Syed Haroon Ali,Qazi Sohail Imran, Abdullah Karaman
Journal of Petroleum Exploration and Production Technologyno. 5 (2024): 1-15
Juan Francisco Villacreses Morales,Amir Abbas Babasafari,Guilherme Furlan Chinelatto, Cristian Ricardo Mendoza,Chibuzor David Nworie,Alexandre Campane Vidal
Journal of Applied Geophysics (2023): 104980-104980
Day 2 Tue, February 22, 2022 (2022)
Seismic Imaging Methods and Applications for Oil and Gas Explorationpp.179-285, (2022)
Universiti Teknologi PETRONAS, Faisal Muhammad Amir, Biswas Ajay,Babasafari Amir abbas,Ali Syed Haroon,Imran Qazi Sohail,Siddiqui Numair Ahmed,Ehsan Muhsan
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