Xiukun Wang is an Associate Professor at the China University of Petroleum (Beijing). He earned his Ph.D. in Petroleum Engineering from Texas Tech University, USA, in August 2018. His research and teaching focus on tight shale oil and gas reservoir development, reservoir simulation, and the application of machine learning in petroleum engineering. Dr. Wang has led and contributed to numerous scientific research projects funded by the National Natural Science Foundation of China, the Beijing Natural Science Foundation, and the Postdoctoral Talent Introduction Program. He has authored or co-authored more than 50 peer-reviewed articles published in leading international journals such as the Journal of Petroleum Science and Engineering (JPSE), Fuel, and Physics of Fluids (POF).
Xiukun Wang is an Associate Professor at the China University of Petroleum (Beijing). He earned his Ph.D. in Petroleum Engineering from Texas Tech University, USA, in August 2018. His research and teaching focus on tight shale oil and gas reservoir development, reservoir simulation, and the application of machine learning in petroleum engineering. Dr. Wang has led and contributed to numerous scientific research projects funded by the National Natural Science Foundation of China, the Beijing Natural Science Foundation, and the Postdoctoral Talent Introduction Program. He has authored or co-authored more than 50 peer-reviewed articles published in leading international journals such as the Journal of Petroleum Science and Engineering (JPSE), Fuel, and Physics of Fluids (POF).