Dr. Farshad Sadeghpour | Data prediction | Best Researcher Award
Farshad Sadeghpour (b. 1996) š®š· is a Petroleum Engineer and Data Scientist š»š¢ļø with expertise in reservoir engineering, petrophysics, and AI applications in the energy sector. Based in Tehran, Iran š, he holds a Masterās and Bachelorās in Petroleum Exploration. With extensive experience in EOR, SCAL/RCAL analysis, and machine learning, Farshad has contributed to both academic and industrial R&D at RIPI, NISOC, and PVP. He has published multiple research articles š, won international awards š, and participated in key petroleum projects. He served in the military šŖ and actively collaborates with academia and industry on AI-driven energy solutions.
Profile
Education š
š§āš Master’s in Petroleum Engineering (Petroleum Exploration), Petroleum University of Technology, Abadan š®š· (2019ā2022) | GPA: 18.82/20
š Bachelorās in Petroleum Engineering, Islamic Azad University (Science & Research Branch), Tehran š®š· (2015ā2019) | GPA: 19.14/20
š Courses covered include reservoir engineering, geomechanics, well-logging, and advanced data analytics.
š ļø Projects include COā storage modeling, permeability prediction via AI, and LWD-based mud loss forecasting.
š Developed key industry collaborations with NISOC, RIPI, and OEID through thesis, internships, and military service projects.
š” Honed computational and simulation skills using MATLAB, Python, COMSOL, Petrel, and ECLIPSE.
šļø Academic mentors: Dr. Seyed Reza Shadizadeh, Dr. Bijan Biranvand, Dr. Majid Akbari.
Experience šØāš«
š¬ Computer Aided Process Engineering (CAPE) ā Petroleum Reservoir Engineer (Nov 2024āPresent)
š¢ļø Petro Vision Pasargad ā Reservoir Engineer & Lab Operator (Sep 2023āMay 2024)
š§ Research Institute of Petroleum Industry (RIPI) ā Petroleum Engineer, Data Scientist (Mar 2023āApr 2024)
š National Iranian South Oil Company (NISOC) ā Petroleum Engineer, Petrophysicist (Mar 2021āNov 2024)
š§Ŗ Internships: NIOC – Exploration Management, Oil & Energy Industries Development (OEID)
š Key contributions include EOR analysis, SCAL/RCAL lab testing, permeability modeling, machine learning pipelines, and field data analysis.
š§¾ Delivered reports, simulations, and AI models supporting production optimization and reservoir characterization.
Awards & Recognitions š
š„ 3rd Prize Winner ā EAGE Laurie Dake Challenge 2022 (Madrid, Spain) š
šļø Recognized for thesis excellence in AI-driven mud loss prediction with NISOC collaboration
š Acknowledged during military service project with RIPI for developing ANN-based well log models
š
Published in high-impact journals such as Energy, Geoenergy Science and Engineering, and JRMGE
āļø Co-author of multiple peer-reviewed papers and under-review articles across petroleum engineering disciplines
š¬ Worked alongside top researchers including Dr. Ostadhassan, Dr. Gao, and Dr. Hemmati-Sarapardeh
š ļø Actively participated in multidisciplinary teams combining AI, geomechanics, and petrophysics
š¢ Regular presenter and contributor at petroleum conferences and AI-in-energy seminars.