I am Weidong Li. I obtained my Ph.D. degree in Oil and Gas Storage and Transportation Engineering from China University of Petroleum in 2019, and have been serving as an Lecturer and Associate Professor at College of Chemical Engineering, Fuzhou University ever since. My primary research interests focus on oil and gas storage and transportation engineering, with an interdisciplinary integration of machine learning, artificial intelligence, safety management and operation optimization of oil and gas pipeline systems. I am dedicated to applying advanced intelligent algorithms and data-driven approaches to address key technical challenges in the safe and efficient operation of oil and gas storage and transportation infrastructure, conducting in-depth research on intelligent regulation, risk early warning, and optimal scheduling of oil and gas pipelines. My academic work centers on the cross-innovation of traditional petroleum engineering and artificial intelligence technology, and the research findings provide theoretical and technical support for the digital and intelligent transformation of the oil and gas. I actively participate in academic exchanges and cooperation in the field to promote the development and application of intelligent technology in the oil and gas industry.
I am Weidong Li. I obtained my Ph.D. degree in Oil and Gas Storage and Transportation Engineering from China University of Petroleum in 2019, and have been serving as an Lecturer and Associate Professor at College of Chemical Engineering, Fuzhou University ever since. My primary research interests focus on oil and gas storage and transportation engineering, with an interdisciplinary integration of machine learning, artificial intelligence, safety management and operation optimization of oil and gas pipeline systems. I am dedicated to applying advanced intelligent algorithms and data-driven approaches to address key technical challenges in the safe and efficient operation of oil and gas storage and transportation infrastructure, conducting in-depth research on intelligent regulation, risk early warning, and optimal scheduling of oil and gas pipelines. My academic work centers on the cross-innovation of traditional petroleum engineering and artificial intelligence technology, and the research findings provide theoretical and technical support for the digital and intelligent transformation of the oil and gas. I actively participate in academic exchanges and cooperation in the field to promote the development and application of intelligent technology in the oil and gas industry.