Associate Professor at China University of Petroleum, Beijing, China
Dr. Jinyou Dai is an accomplished Associate Professor at the School of Petroleum Engineering, China University of Petroleum (Beijing), with over two decades of academic and research experience in petroleum engineering and reservoir geology. He has contributed significantly to the understanding and advancement of enhanced oil recovery (EOR), tight gas reservoir development, and pore-scale modeling. His combined academic rigor and applied research efforts have made notable impacts in both academia and industry.
Profile
Scopus
Education
Dr. Dai earned his Bachelor’s degree in Petroleum and Natural Gas Geological Exploration from China University of Petroleum (East China) in 1997. He pursued a Master’s in Mineral Survey and Exploration at China University of Petroleum (Beijing), graduating in 2000, and completed his Ph.D. in Geological Resources and Geological Engineering in 2003 from the same institution. He subsequently conducted postdoctoral research at China University of Petroleum (Beijing) from 2003 to 2005.
Experience
Following his postdoctoral fellowship, Dr. Dai began his academic career as a Lecturer in 2005 and became an Associate Researcher in 2008 at China University of Petroleum (Beijing). In 2021, he was promoted to Associate Professor. His work encompasses both academic teaching and leading-edge research. He has led or participated in several state and industry-funded research projects, collaborating with leading oilfield companies including Changqing and Daqing Oilfields, focusing on reservoir characterization, production optimization, and enhanced oil recovery.
Research Interest
Dr. Dai’s primary research interests include tight sandstone reservoir development, EOR mechanisms, polymer-water flow in porous media, and pore-throat structure simulation using advanced modeling techniques. He integrates theoretical approaches with field data to optimize oil and gas recovery, and has made key contributions to understanding capillary pressure behavior, recovery factor evaluation, and multi-phase flow characteristics in complex reservoirs.
Award
Dr. Dai has received multiple prestigious recognitions for his scientific contributions. Notably, he was a co-recipient of the First-Class Provincial Award for Invention in 2023 from the China Petroleum and Chemical Automation Application Association, honoring his innovations in efficient development of large tight sandstone gas fields. In 2007, he also received the Second-Class Science and Technology Progress Award from the Ministry of Education for his contributions to complex gas reservoir development theory and applications.
Publication
Dr. Dai has authored numerous impactful publications, including:
(1) Research on the integrated calculation method of current recovery and limited recovery in tight sandstone gas reservoirs, Frontiers in Earth Science, 2024 — cited for its novel recovery modeling approach.
(2) Study on Applicability of Ball-and-Stick Model in Reservoir Pore-Throat Network Simulation, Processes, 2025 — foundational for pore-throat network modeling.
(3) 常规压汞-恒速压汞联合曲线构型模式及其指示意义, 新疆石油地质, 2024 — explored capillary pressure curves and their implications.
(4) Distribution regularity and formation mechanism of gas and water in the western area of Sulige gas field, Petroleum Exploration and Development, 2012 — a detailed study of gas-water distribution mechanisms.
(5) 鄂尔多斯盆地延长组绿泥石膜的形成机制, Journal of China University of Petroleum (Natural Science Edition), 2016 — on the formation mechanisms of chlorite films.
These works have been cited in studies related to pore-scale modeling, reservoir simulation, and EOR strategies, illustrating their academic and practical value.
Conclusion
Dr. Jinyou Dai represents a rare blend of academic excellence and applied industry relevance. Through his pioneering research, extensive publication record, and innovative technologies, he continues to influence petroleum engineering practices both within China and internationally. His commitment to advancing reservoir engineering theory and his role in transforming field operations through scientific insight make him a highly deserving candidate for this award.