Researcher, at Petroleum University of Technology (PUT) ,Iran
Mr. Farshad Sadeghpour is a highly motivated and multidisciplinary Petroleum Engineer and Data Scientist with a strong academic foundation and hands-on industry experience. He specializes in applying artificial intelligence, machine learning, and geomechanical modeling to tackle real-world challenges in petroleum exploration and reservoir engineering. With an impressive track record of publications, research collaborations, and award-winning projects, Mr. Sadeghpour stands out as an innovative young professional pushing the frontiers of modern petroleum engineering.
Professional Profile
Orcid
Education 🎓
Mr. Sadeghpour holds a Master of Science in Petroleum Engineering (Exploration) from the Petroleum University of Technology, Abadan, Iran (2019–2022), where he graduated with a stellar GPA of 18.82/20. He earned his Bachelor of Science in Petroleum Engineering (Exploration) from the Islamic Azad University, Science and Research Branch, Tehran, Iran (2015–2019), achieving an exceptional GPA of 19.14/20. His academic journey reflects deep technical knowledge, diligence, and consistent excellence.
Experience 👩
Mr. Sadeghpour has worked across leading organizations in Iran’s energy sector. His roles include Petroleum Engineer, Petrophysicist, and Data Scientist at institutions such as the Research Institute of Petroleum Industry (RIPI), Petro Vision Pasargad (PVP), Computer Aided Process Engineering (CAPE), and the National Iranian South Oil Company (NISOC). His work involved RCAL, SCAL, EOR laboratory operations, geomechanical modeling, machine learning implementation, and reservoir data analysis—reflecting a strong blend of fieldwork, laboratory experience, and data-driven insights.
Research Interests 🔬
Farshad’s research is at the intersection of petroleum engineering, data science, and geomechanics. He focuses on using machine learning, deep learning, and AI-based models to solve complex reservoir problems such as mud loss prediction, permeability estimation, and CO₂ storage assessment. His work emphasizes both theoretical modeling and practical industry applications, often conducted in collaboration with organizations such as NISOC, RIPI, and the National Iranian Oil Company. His master’s thesis and several projects revolve around neural networks, genetic algorithms, and petrophysical characterization, showing his innovative edge.
Awards 🏆
Farshad’s dedication to excellence was recognized internationally when he secured Third Prize in the EAGE Laurie Dake Challenge 2022 held in Madrid, Spain—a highly competitive event for petroleum engineering students worldwide. He has also been involved in significant national-level research projects with reputed institutions, showcasing his contributions to both academic and industrial progress.
Top Noted Publications 📚
Farshad has co-authored and led multiple high-impact publications in Q1 journals, including:
Energy (2025): Machine learning for CO₂ storage feasibility.
Journal of Petroleum Exploration and Production Technology (2025): New petrophysical-mathematical approach for RQI and FZI.
Geoenergy Science and Engineering (2024): Upscaling methods for elastic modulus prediction.
Journal of Rock Mechanics and Geotechnical Engineering (2024): Stress effects on fracture development in the Asmari reservoir.
Multiple papers under review in Marine and Petroleum Geology, International Journal of Coal Geology, and others.
Conclusion
In conclusion, Farshad Sadeghpour exemplifies the profile of a next-generation energy researcher—technically brilliant, research-oriented, and industry-relevant. His interdisciplinary expertise, publication record, award-winning work, and innovative mindset make him an outstanding candidate for prestigious recognitions such as the Best Researcher Award. His contributions are not only academically significant but also strategically aligned with the global shift toward smart and sustainable energy solutions.