Corrosion and Reliability Assessment of Inspected Pipelines - Amaya-Gómez, Rafael; Bastidas-Arteaga, Emilio; Muñoz, Felipe; Schoefs, Franck; Sánchez-Silva, Mauricio
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This book provides the most up-to-date, advanced methods and tools for risk assessment of onshore pipelines. These methods and tools are based primarily on information collected from ILI measurements and additional information about the soil surrounding the pipeline. The book provides a better understanding how the defects grow and interact (repulsion or attraction) and their spatial variability. In addition, the authors contemplate new defects that evolve between inspections and how they could affect the pipeline's reliability. A real-world case is presented to reinforce the concepts…mehr

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Produktbeschreibung
This book provides the most up-to-date, advanced methods and tools for risk assessment of onshore pipelines. These methods and tools are based primarily on information collected from ILI measurements and additional information about the soil surrounding the pipeline. The book provides a better understanding how the defects grow and interact (repulsion or attraction) and their spatial variability. In addition, the authors contemplate new defects that evolve between inspections and how they could affect the pipeline's reliability. A real-world case is presented to reinforce the concepts presented in the book. The book is structured into three parts: i) an introduction to onshore pipelines and the problem of corrosion, ii) a framework that deals with uncertainty for integrity programs for corroded pipelines, and iii) the applications of the methods presented in the book. The book is ideal for researchers and field engineers in oil and gas transportation and graduate and undergraduate engineering students interested in pipeline reliability assessments, spatial variability, and risk-based inspections.
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Autorenporträt
Rafael Amaya-Gómez received his bachelor's degrees in chemical engineering in 2013 and mathematics in 2017 from Los Andes University in Colombia. He earned an M.Sc. in chemical engineering focused on process safety in 2015, also from Los Andes University. He received his Ph.D. in Engineering from Los Andes University in Colombia and the University of Nantes in France in 2020. His experience focuses on analyses related to pipeline mechanical integrity, reliability assessment, risk assessment, spatial variability, stochastic modeling, and data management to profit inspection results from In-Line Inspections. He has worked on national projects in the mining and energy sector, releasing a sectorial Disaster Risk Management Policy for the first time in Colombia, and with local authorities in subjects related to technological and NATECH (Natural Hazards-Triggered Technological Accidents) risk scenarios in Colombia to support further decision-making processes. He has been a lecturer at Los Andes University in subjects associated with process safety, chemical processes modeling, and process plant design. His research has been published as the leading author in several journal papers, international conference proceedings and book chapters. Emilio Bastidas-Arteaga received his PhD in Civil Engineering from Los Andes University in 2009, a second PhD in Engineering Sciences from University of Nantes (France) in 2010, and an Accreditation to Supervise Research (HDR) from University of Nantes in 2017. He is Professor at La Rochelle University since 2020 where his research work aims at promoting resilient coastal and offshore infrastructure in the face of aging and changing environmental conditions. His research project encompasses three key aspects: probabilistic modelling of deterioration processes and climate interactions, characterization of construction materials and inspection techniques through experimental means, and optimization of design, inspection, and maintenance based on factors like risk of failure and environmental impact. His extensive publication record and involvement in various research projects funded by regional, national, European, and international sources underscore his expertise and significant contributions to the field of reliability and maintenance of deteriorated infrastructure. Mauricio Sánchez-Silva is a Professor of the Civil and Environmental Engineering Department at Los Andes University (Bogotá, Colombia) since 1996. Dr. Sánchez-Silva received his B.S. and MSc. in Civil engineering from Los Andes University; and his Ph.D. at the University of Bristol, UK. His main research areas include applied probability (risk and reliability assessment), life-cycle analysis, physical and stochastic modeling of degrading systems, and modeling the dynamics of resilient and sustainable infrastructure systems. His research has led to the publishing numerous peer-review journals and conference papers, several book chapters, and three books. Most of these publications are related to infrastructure problems such as degradation (e.g., chloride ingress in concrete, biodegradation, stochastic modeling), maintenance (optimum infrastructure operation policies), risk and reliability assessment, and network modeling. In addition, Dr. Sánchez-Silva has taught graduate and undergraduate courses in Civil and Industrial Engineering. Most graduate and professional courses are related to risk, reliability, infrastructure management, resilience, and sustainability. Finally, he has worked on projects with different industrial sectors (e.g., mining and oil industry, construction, and disaster management) involving risk and reliability assessments and evaluating infrastructure performance over time. Franck Schoefs received his Ph.D. in civil engineering from the ENS Cachan School (France) in civil engineering in 1996 and an Accreditation to Supervise Research (HDR) in 2007. He is the head of the TRUST Group (Monitoring, Reliability, and Structure Computation) at the Institute for Research in Civil and Mechanical Engineering (GeM) at Nantes University. CEO of the CNRS Research Federation "Sea and Littoral Research Institute" since 2017, and Marine Renewable Energy advisor to the President of Nantes University since 2014. His research is focused on probabilistic modelling of inspection results and on-site measurements from Structural Health Monitoring. The objective is to provide updated random variables and fields for structural safety and decision aid tools inside a risk analysis (Risk Based Inspection). Primary applications include bridge engineering, offshore structures, and marine renewable energy. Since the end of the 90s, he has worked on the probabilistic modelling of Marine Growth on offshore structures. As a result of his research, he has published several papers in referenced journals, co-edited eight books, collaborated in chapters for three other books, and released three commercial software. Felipe Muñoz received his B.S. degree in Chemical Engineering in 1998 from the Fundación América and his M.Sc. in Industrial Engineering at Los Andes University in 2002, both in Colombia, and his Doctorate from the National Polytechnique Institute of Lorraine (INP) in France in 2007, with the Process and Product Engineering specialty. He was a former Associate Professor at Los Andes University in the Chemical Engineering Department from 2007-2019, Visiting Associate Professor at the Research Center for Disaster Reduction System at Kyoto University (Japan). Currently, he is a Professional Senior of Health, Safety, and Environment at the Empresa Colombiana de Petróleos (ECOPETROL). His main academic interests and research efforts focus on risk analysis in engineering to support the decisions making process related to chemical and major accidents. Part of his work evaluates physical hazards associated with dangerous materials and their accidental dynamics (explosions, fires, and dispersions). Furthermore, he has experience in Quantitative Risk Analysis (QRA) for pipelines and industrial sites and its relationship with land use planning. Among his publication, he has co-authored two books, one book chapter, and several journal papers and national and international conference proceedings.