Advanced Intelligent Pipeline Management Technology

This book summarizes the advanced intelligent pipeline management technologies. The text discusses the main challenges of how to define and reinvent data-driven intelligent pipeline systems by studying scheduling-operation- safety management systems. Additionally, within an all-around intelligent pipeline system technology development framework, this book characterizes the scientific problems of intelligent pipeline system services among different processes, such as scheduling, demand-side management, operation condition monitoring, safety analysis, fault detection, etc. This book also introduces the existing positive and successful intelligent pipeline system projects that can be identified in the studied domain, and how can they be best applied for practical success. The text is supported by informative illustrations and case studies so that practitioners can use the book as a toolbox to improve understanding in applying the novel technologies into intelligent pipeline system management and development.

Dr. Haoran Zhang is a researcher at the School of Urban Planning and Design, Peking University. His research includes urban data mining, smart supply chain, and urban energy system. He is the author of numerous journal articles and Editorial Board Member of several international academic journals, such as Advances in Applied Energy and Engineering Reports. He has PhDs in both Engineering and Sociocultural Environment and was awarded Excellent Young Researcher by Japan’s Ministry of Education, Culture, Sports, Science and Technology.Dr. Su Huai is Associated Professor of China University of Petroleum, Beijing. He is also Visiting Researcher at the Politecnico di Milano, Italy. He is serving as Associate Editor of Petroleum Science. He focuses on reliability analysis and optimization of oil and gas pipeline systems. His research interests include analysis of the reliability, safety, and security of complex pipeline systems; soft computing techniques for safety and reliability applications, oil & gas system fault diagnosis, and optimal design. His research of intelligent technology in oil & gas pipelines was awarded the first prize of Science and Technology Awards by China Petroleum and Chemical Industry Federation.Dr. Liao Qi is a Post doctor of College of Mechanical and Transportation Engineering in The University of Petroleum-Beijing, China. Her major research interest focuses on the optimization of oil & gas supply chain, and has developed software in the field of pipeline simulation and scheduling optimization, which have been successfully applied to a number of oil products pipelines in China, providing reliable technical support for the production and operation of domestic pipelines. Another contribution is to introduce the data mining technology into the optimization of pipeline operation. By processing and analyzing the historical scheduling data, the scheduling knowledge and rules under different operation scenarios are mined to quickly generate good initials solution for the large-scale model, improving the computation time by over 90%. Her current research interest is the operation management of China’s oilfield and multi-product pipeline network under carbon-neutral target, including life cycle assessment, economic-environmental analysis, and integrated technology of oil & gas pipeline network and clean energy transmission network. So far, she has issued more than 50 refereed international journal papers, with 16 ones as first/corresponding author. She has also received two provincial and ministerial levels Natural Science and Science & Technology Progress Awards with 1 first prizes and 1 second prizes.Dr. Enrico Zio received the MSc degree in nuclear engineering from Politecnico di Milano in 1991 and in mechanical engineering from UCLA in 1995, and the Ph.D. degree in nuclear engineering from Politecnico di Milano and in probabilistic risk assessment at MIT in 1996 and 1998, respectively. He is currently full professor at the Centre fo