Petroleum University of Technology | Iran
Farshad Sadeghpour is a geomechanics and reservoir engineering researcher at the Petroleum University of Technology (PUT), known for his contributions to underground gas storage, petrophysics, and CO₂ geological sequestration. He has authored multiple peer-reviewed publications covering geomechanical upscaling, fracture development under stress, anisotropic rock behavior, storage-efficiency modeling, and petrophysical parameter estimation. His current Google Scholar record lists 22 citations, an h-index of 3, and 6 indexed documents, reflecting his growing influence in subsurface engineering. He holds academic training in petroleum engineering from PUT and additional postgraduate research experience from the Islamic Azad University, Science & Research Branch. His research experience includes collaborative studies on elastic property prediction, machine-learning-based evaluation of CO₂ storage feasibility, and advanced triaxial testing for characterizing anisotropic formations. His work demonstrates strong expertise in integrating experimental, computational, and data-driven approaches to solve complex reservoir challenges. His research interests include geomechanics, underground storage, CO₂ sequestration, petrophysical modeling, machine learning, and rock mechanics. Although still early in his career, his contributions indicate promise for impactful advancements in sustainable subsurface energy systems. Overall, Farshad Sadeghpour is an emerging researcher dedicated to improving geological storage, reservoir characterization, and the scientific foundations of low-carbon energy technologies.
Featured Publications
Sadeghpour, F., Darkhal, A., Gao, Y., Motra, H. B., Aghli, G., & Ostadhassan, M. (2024). Comparison of geomechanical upscaling methods for prediction of elastic modulus of heterogeneous media. Geoenergy Science and Engineering, 239, 212915.
Aghli, G., Aminshahidy, B., Motra, H. B., Darkhal, A., Sadeghpour, F., … (2024). Effect of stress on fracture development in the Asmari reservoir in the Zagros Thrust Belt. Journal of Rock Mechanics and Geotechnical Engineering, 16(11), 4491–4503.
Sadeghpour, F. (2025). Storage efficiency prediction for feasibility assessment of underground CO₂ storage: Novel machine learning approaches. Energy, 324, 136040.
Iranfar, S., Sadeghpour, F., Manshad, A. K., Naderi, M., & Shakiba, M. (2025). An eigenvalue-driven framework for the ranking and selection of optimal geological CO₂ storage sites. Results in Engineering, 106770.
Sadeghpour, F., Motra, H. B., Sethi, C., Wind, S., Hazra, B., Aghli, G., … (2025). Elastic properties of anisotropic rocks using a stepwise loading framework in a true triaxial testing apparatus. Geoenergy Science and Engineering, 251, 213883.