This book offers a comprehensive framework for understanding and predicting the complex deterioration patterns of energy pipelines, enabling decision-makers to manage structural integrity and operational safety proactively. It integrates cutting-edge probabilistic modeling, stochastic growth analysis, and spatiotemporal hazard simulation to capture the real-world randomness of corrosion and seismic impacts. Readers will find value in the extensive use of real in-line inspection (ILI) datasets, richly illustrated with high-resolution figures, probability mass functions, and 3D morphology visualizations. Each chapter blends rigorous theoretical modeling with practical, field-relevant case studies, supported by clear tables, algorithms, and reproducible workflows. The book's unique strength lies in linking advanced statistical methods with actionable maintenance planning, providing tools to forecast degradation trends and quantify risk with precision. By following the approaches presented, readers can reduce uncertainty in long-term asset management, optimize inspection intervals, and allocate resources effectively. This book is particularly suited for engineers, researchers, asset managers, and policymakers engaged in the integrity management of natural gas and energy pipelines.

Dr. Wang focuses on the research of seismic reliability of energy pipelines. Her recent research interests include seismic random vibration analysis of energy pipelines, stochastic modeling of corrosion, and reliability assessment of energy systems. Since 2019, she has led six national and provincial-level projects, including one funded by the National Natural Science Foundation of China. Dr. Wang has published 31 peer-reviewed technical papers in international journals and conferences. She is a member of ASCE and ASME, and serves as a reviewer for several international journals, as well as Secretary-General of the Oil and Gas Commission of the Buried Assets Management Institute-International. She was awarded the Provincial and Ministerial Industry–University–Research Cooperation Innovation Achievement Award in 2021, recognizing her outstanding contributions to oil and gas pipeline reliability. In 2020, Dr. Wang received the Doctoral Research Output Award, honoring her achievement as one of the most notable research outcomes by doctoral graduates in the energy field.

Dr. Qin focuses on research in risk-based pipeline integrity management. His recent research interests include the assessment of corrosion defects in pipelines, pipeline resilience evaluation, pipeline risk analysis, and renewable energy potential assessment. Since 2016, Dr. Qin has published more than 50 peer-reviewed papers in SCI-indexed journals (H-index = 23). He is a member of ASME, serves on the editorial boards of PLOS ONE and Scientific Reports, and acts as a reviewer for more than 40 international journals. In 2025, he received the Outstanding Reviewer Award from both ASCE and the Journal of Pipeline Science and Engineering, recognizing his exceptional contributions to the peer-review process.

Prof. Zhang focuses on the research of risk assessment and safety management for oil and gas storage and transportation, as well as hazardous chemicals. His recent research interests include safety risk prevention and control theory for oil and gas storage and transportation, monitoring and early-warning systems for pipeline geological disasters, and the integration of safety theory with government regulatory mechanisms. Prof. Zhang has published more than 30 peer-reviewed papers as the first author or sole corresponding author in the field of oil and gas storage and transportation safety and hazardous chemical risk assessment. He is the head of the Oil and Gas Storage and Transportation Safety Theory and Government Regulation Mechanism Research Division at the Key Laboratory of Safety Risk Prevention and Emergency Management for Oil and Gas Storage and Transportation of the Ministry of Emergency Management. He is recognized as a Young Academic Leader in Beijing's emergency management field. Prof. Zhang has led his team deep into the frontlines of oil and gas storage and transportation, achieving multiple innovative research results that have strengthened theoretical foundations and advanced practical applications in the field.