Jinyuan Zhang | Oil and Gas Field Development Engineering | Best Researcher Award

Published on by Petroleum Engineering

Mr. Jinyuan Zhang | Oil and Gas Field Development Engineering | Best Researcher Award

Researcher at Xi’an Shiyou University | China

Dr. Jinyuan Zhang is a distinguished researcher at Xi’an Shiyou University, recognized for his significant contributions to petroleum engineering and unconventional hydrocarbon development. His research focuses on shale oil reservoir characterization, volume fracturing simulation, and enhanced oil recovery, with groundbreaking applications in the Ordos Basin, one of China’s most prominent energy-producing regions. Through advanced numerical simulation and geomechanical analysis, he has provided valuable insights into the behavior of complex shale formations, fracture propagation mechanisms, and reservoir adaptability, contributing to improved field development strategies. Dr. Zhang has published multiple influential studies in international journals such as Processes, Scientific Reports, Energies, Journal of Physics: Conference Series, and Polymers, showcasing his ability to integrate theoretical understanding with practical engineering applications. His key publications, including “Numerical Simulation Study on Volume Fracturing of Shale Oil Reservoirs in Y Block of Ordos Basin” and “Kaiser Acoustic Emission Ground Stress Testing Study on Shale Oil Reservoirs,” demonstrate his capacity to bridge laboratory experimentation, data modeling, and field practice. In addition to his expertise in shale reservoir mechanics, his innovative research on polymer microspheres for plugging and profile control in enhanced oil recovery exemplifies his dedication to efficiency, sustainability, and environmental responsibility in petroleum production. Dr. Zhang’s interdisciplinary approach, combining geology, rock mechanics, and fluid dynamics, allows him to develop new evaluation methods for shale brittleness and optimize fracturing designs that increase recovery rates and reduce operational risks. His commitment to advancing clean and intelligent energy technologies aligns with global efforts toward sustainable resource development. Through his academic rigor, technical innovation, and vision for future energy systems, Dr. Zhang has established himself as a forward-thinking researcher whose contributions continue to influence the evolution of petroleum engineering and inspire emerging scholars dedicated to responsible and efficient energy exploration.

Profile: ORCID

Featured Publications

Zhang, J., Chen, J., Sun, Z., Xiong, J., Wang, H., Song, W., & Lei, J. (2025). Numerical simulation study on volume fracturing of shale oil reservoirs in Y block of Ordos Basin, China.

Zhang, J., Chen, J., Lei, J., Xiong, J., Nie, X., Gong, D., Ning, P., & Shi, R. (2025). Kaiser acoustic emission ground stress testing study on shale oil reservoir in Y block of Ordos Basin, China.

Zhang, J., Chen, J., Lei, J., Xiong, J., Nie, X., & Li, Z. (2024). Geological characteristics and volume fracturing adaptability of tight oil reservoirs in the Ordos Basin of China.

Zhang, J., Chen, J., Xiong, J., Nie, X., Gong, D., Li, Z., & Lei, J. (2024). A new method for evaluating the brittleness of shale oil reservoirs in Block Y of Ordos Basin of China.

Nie, X., Chen, J., Cao, Y., Zhang, J., Zhao, W., He, Y., Hou, Y., & Yuan, S. (2019). Investigation on plugging and profile control of polymer microspheres as a displacement fluid in enhanced oil recovery.

S.S Mortazavi | Artificial Intelligence in Petroleum Engineering | Best Academic Researcher Award

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Prof. Dr. S.S Mortazavi | Artificial Intelligence in Petroleum Engineering | Best Academic Researcher Award

Professor at Shahid Chamran University of Ahvaz, Iran

Dr. Seyed Saeidollah Mortazavi is a distinguished academic in the field of Electrical Engineering, currently serving as a faculty member at Shahid Chamran University of Ahvaz. With over two decades of teaching, research, and technical leadership, he has made substantial contributions to power systems, control engineering, and intelligent algorithms. His academic career is marked by a rigorous pursuit of innovation in adaptive control, power quality, and fuzzy systems, and he is well-regarded for both his applied and theoretical impact in the energy sector.

Profile

Google Scholar

Education

Dr. Mortazavi obtained his Ph.D. in Electrical Engineering from the prestigious Indian Institute of Technology (IIT), New Delhi in 1999. His doctoral thesis, titled “Fuzzy Logic Control System Design and Tuning”, established his foundation in intelligent systems. Prior to this, he completed both his Master’s and Bachelor’s degrees in Electrical Engineering from Ferdowsi University of Mashhad in 1994 and 1992, respectively, focusing on control systems and power system coordination. His academic path has consistently reflected a strong commitment to bridging complex theoretical concepts with practical applications in electrical systems.

Experience

Dr. Mortazavi began his academic tenure at Shahid Chamran University in 2000, where he initially held the position of Assistant Professor and was later promoted to Associate Professor in 2010. He has taught a wide array of courses, including Electric Circuits, Signals and Systems, Control Systems, SCADA, Neural Networks, and Soft Computing. He has also held several administrative roles, such as Director of the University Informatics Center and Secretary of the Informatics Council, and led major IT infrastructure initiatives. In addition, he has served as a technical reviewer for numerous scientific journals and conferences since 1999 and has supervised dozens of postgraduate theses.

Research Interests

Dr. Mortazavi’s primary research interests lie in the areas of intelligent control systems, power system stability, reactive power compensation, and power quality improvement. He has extensively explored the application of fuzzy logic, neural networks, and genetic algorithms in load balancing, harmonic estimation, fault detection, and optimization in power systems. His research contributions often emphasize practical implementation, such as in adaptive active power filters, FACTS device coordination, and SCADA systems, reflecting a deep commitment to enhancing reliability and efficiency in modern electrical grids.

Awards

Throughout his career, Dr. Mortazavi has been recognized for his excellence in research and teaching. He has been a recurring participant and contributor to high-profile national and international engineering conferences and has represented Shahid Chamran University in various technical forums. His involvement in the establishment of university-level informatics systems and his contributions to regional and national electricity grid optimization projects highlight his impact beyond academia.

Publications

Dr. Mortazavi has authored numerous research papers in reputable journals and conferences. Some notable publications include:

  1. “Fuzzy logic controlled adaptive active power filter for harmonics minimization and reactive power compensation under fast load variation”, WSEAS Transactions on Power Systems, 2008 (Cited by 80+ articles).

  2. “A novel method of coordinating PSSs and FACTS Devices in Power System Stability Enhancement”, WSEAS Transactions on Power Systems, 2009.

  3. “Harmonic estimation in a power system using a novel hybrid Least Squares-Adaline Algorithm”, Electric Power System Research, Elsevier, 2009.

  4. “Comparison of different control strategies for robust shunt active power filter”, Int. Rev. of Electrical Engineering, 2009.

  5. “Electric Power Quality Disturbance Assessment Using Wavelet Transform Analysis”, Int. Rev. of Electrical Engineering, 2010.

  6. “Power Quality Improvement Using a Fuzzy Logic Control of a Series Active Filter”, Journal of Theoretical and Applied Information Technology, 2010.

  7. “Fuzzy Logic Based Coordination of SVC and ULTC to Improve Power Quality”, WCSET 2010.
    These publications have received significant citations, especially those focusing on fuzzy control and power quality, reflecting the scholarly influence and applied relevance of his work.

Conclusion

Dr. Seyed Saeidollah Mortazavi exemplifies the values of academic excellence, research leadership, and public service. His multidisciplinary approach, bridging intelligent systems and electrical engineering, has not only enriched the academic community but also contributed tangibly to the optimization of energy systems in Iran and beyond. With a solid record of innovation, publication, and mentorship, Dr. Mortazavi is an outstanding candidate for any award recognizing excellence in engineering education and research.