Autor: Kamy Sepehrnoori

Dr. Cunqi Jia is Postdoctoral Fellow in the Hildebrand Department of Petroleum and Geosystems at the University of Texas at Austin. He holds B.S. and Ph.D. in petroleum engineering from China University of Petroleum (East China). Cunqi’s current research focuses on developing and applying compositional reservoir simulators. His research interests include enhanced oil recovery, reactive transport, carbonate acid stimulation, naturally fractured and vuggy reservoirs, underground hydrogen storage (UHS), and geological carbon sequestration (GCS). Cunqi has published a total of 30 academic papers. He has led and participated in multiple research projects and served as Guest Editor and Review Editor for several SCI journals and as Reviewer for authoritative journals in the energy field. On multiple occasions, he has been Section Convener at international conferences such as AGU, AMRA, and Inter Pore. He has received the Graduate National Scholarship and the SPE Outstanding Technical Reviewer Award.   Dr. Kamy Sepehrnoori is Professor in the Hildebrand Department of Petroleum and Geosystems Engineering (PGE) at the University of Texas at Austin, where he holds Texaco Centennial Chair in Petroleum Engineering. His research interests and teaching include computational methods, reservoir simulation, simulation of unconventional reservoirs, enhanced oil recovery modeling, flow assurance modeling, naturally fractured reservoirs, high-performance computing, CO2 sequestration, coupled CO2 sequestration, and enhanced oil recovery.  He has been teaching at the University of Texas for over thirty years. He has graduated more than 200 M.S. and Ph.D. students under his supervision, mainly in reservoir simulation and enhanced oil recovery modeling. He has published over 600 journal articles and conference proceedings in his research areas. He has also co-authored four books. Sepehrnoori is Director of the Reservoir Simulation Joint Industry Project at the Center for Subsurface Energy and the Environment.   Dr. Jun Yao is Professor at the School of Petroleum Engineering, China University of Petroleum (East China). He has made outstanding contributions to the advancement of the science and the technology of porous media as well as to the academic exchanges in the field. He proposes the theoretical framework of modern seepage mechanics and forms the seepage simulation method in five scales, including molecular scale, pore scale, core scale, Darcy scale, fracture large scale, and the scale associated upscaling method. He established numerical simulation methods for unconventional and fracture-vuggy carbonate rock reservoirs and intelligent oilfield production optimization methods based on machine learning and big data approaches. His research work promotes theoretical development and engineering application of seepage mechanics. He has presided over the national 863 program project, the 973 program project, and the National Natural Science Foundation of China.