Safety and Reliability in the Oil and Gas Industry
A Practical Approach
An Insightful Guide to Avoiding Offshore Oil- and Gas-Industry Disaster
Designing, constructing, operating, and maintaining offshore oil and gas industry equipment and systems can sometimes result in accidents, injuries, and other serious problems. Safety and Reliability in the Oil and Gas Industry: A Practical Approach focuses on oil and gas industry equipment reliability, offers useful and up-to-date information on the subject, and covers in a single volume the most common safety and reliability engineering issues in the oil and gas industry. The book introduces the latest developments in the area, and provides relevant methods and approaches. It also presents important aspects of various case studies on major accidents in the oil and gas industry, and considers human factors that contribute to accidents and fatalities in the area of oil and gas.
Additionally, this book describes:
- Mathematical concepts
- Oil and gas industry equipment reliability characteristics
- Accident data and analysis
- Mathematical models used for performing safety and reliability-related analyses in the industry
Safety and Reliability in the Oil and Gas Industry: A Practical Approachcovers important aspects of safety in the offshore oil and gas industry. A reference designed with engineering professionals in mind, this book can also be used in oil- and gas-industry-related courses, and serves as a guide for anyone concerned with safety and reliability in the area of oil and gas.
Table of Contents
Introduction. Basic Mathematical Concepts. Safety and Reliability Basics. Methods for Performing Safety and Reliability Analyses in the Oil and Gas Industry. Safety in Offshore Oil and Gas Industry. Case Studies of Oil Tanker Spill-Related Accidents and Oil Tanker Spill Analysis. Human Factors Contribution to Accidents in the Oil and Gas Industry and Fatalities in the Industry. Case Studies of Maintenance Influence on Major Accidents in Oil and Gas Industry and Safety Instrumented Systems and Their Spurious Activation in Oil and Gas Industry. Oil and Gas Industry Accident Data and Accident Data Analysis. Oil and Gas Industry Equipment Reliability. Mathematical Models for Performing Safety and Reliability Analyses in Oil and Gas Industry. Appendix.
Dr. B.S. Dhillon is a professor of engineering management in the Department of Mechanical Engineering at the University of Ottawa, where he has served as a chairman/director of the mechanical engineering department/engineering management program for over 10 years. He is the founder of the probability distribution named Dhillon distribution/law/model, has published numerous articles, served on the editorial boards of 12 journals, and written 42 books. Professor Dhillon attended the University of Wales where he received a BS in electrical and electronic engineering and an MS in mechanical engineering. He received a Ph.D. in industrial engineering from the University of Windsor.
"… one of a kind book… The author took meticulous care in translating the most complex and difficult concepts in safety and reliability engineering and provided a simple, easy to use step-by-step approach."
—Dr. Subramanyam Naidu Rayapati, Agile CloudTech, LLC, Austin, Texas, USA
"This book leaves no stone unturned as a reference to the safety engineer/professional working in the field. Many of the sites are referenced, which makes it easy for those who desire more information to find it."
—Paul E. West, Safety Manager/College Professor, Navarro College, Corsicana, Texas, USA
"Assists in developing and designing better engineering systems in the oil and gas industry … Provides case studies of oil tanker spill-related accidents and oil tanker spill analysis … well organized and presented."
—Dr. Kouorush Jenab, Embry-Riddle Aeronautical University, Daytona Beach, Florida, USA
"The book covers important issues related to reliability and safety analysis in oil and gas industry. There are many examples, illustrations…and interesting case studies."
—Janusz Sosnowski, Institute of Computer Science, Warsaw University of Technology, Poland