Oil and Gas Processing Equipment: Risk Assessment with Bayesian Networks 2020

Book Review Oil and Gas Processing Equipment: Risk Assessment with Bayesian Networks 2020

Today, with the advancement of science in the oil and gas industry, they use techniques to reduce their work risks. The Oil and Gas Processing Equipment PDF book gives you information that you can minimize your risks by reviewing this book. G. Unnikrishnan has written and marketed this book to help oil and gas industry professionals, safety engineers, risk assessment of bayesian theory principles, Bayesian networks, and similar applications so that it can minimize everyone’s risks.

Introducing the book Oil and Gas Processing Equipment

The Oil and Gas Processing Equipment book assesses possible risks using Bayesian networks (BNs) to minimize business risks. This book portrays the simulation and illustration of harnessing any risks in the oil and gas industry.

Translation of Oil and Gas Processing Equipment

The Book of Oil and Gas Processing Equipment is currently only written for English, and if you need other languages, use the comments of this post to include it if the language you want is translated. You can download this 153-page book through the LiveinBook website or otherwise read online.

In a section of Oil and Gas Processing Equipment, we read

Quantitative risk assessment (QRA) is embedded in the design and operation of oil and gas projects and facilities. This practice has matured over the years. Theories, calculation techniques and software are available for computing the key components of QRA, namely the release rates, frequencies, consequences and risk. The results of QRA are primarily used for decisions on land use planning.
However, when an accident happens, the findings often point to several layers of causes lined up in a rather unusual coincidence. Whether it is Jaipur tank farm or Buncefield, Texas City refinery, the story is the same. The striking fact is that, these were all avoidable! From my years of experience in the design of oil and gas facilities and in conducting/reviewing several quantitative risk assessments/reports, I found that conventional QRAs are limited in its ability to predict such situations. The above aspect together with my research on Bayesian networks (BN) gave me the idea of writing such a book.
Bayes theorem, its developments and application in many areas, provides a sound basis for logical reasoning of cause and effect. Representation of causal mechanisms through Bayesian network opens up the potential for analyzing the layers of causes in a complex facility that can eventually line up and result in an accident. Though BNs are being applied in diverse areas such Computer Science, Finance, Ecology, Medicine, etc. it is not being applied to a great extent in oil and gas industries.
The book aims to introduce such applications and avoids the complex theories. The contents have been kept to a basic level. I hope the book will be beneficial to persons in academic and industrial field. The book does not claim to be error free. There is scope for improvement. Any feedback is welcome. I appreciate the support and encouragement given to me by my PhD thesis advisors Dr Shrihari and Dr Nihal Siddiqui at the University of Petroleum and Energy Studies, Dehradun, India during my research on the subject.
Writing of a book takes time and effort. Usually, it is the spouse who sacrifices her holidays and enjoyments to make it possible. Here also it is not different. I thank Dr. Gangandeep Singh of CRC Press for his persistence and help in finalizing the draft. I also acknowledge and thank the project managers Ms. Sofia Buono & Ms. Rebecca Dunn at CodeMantra for the careful attention and collaboration in production of the book. I thank my wife Girija for her patience while I worked on the book.

Information Page and the first book, At Home on the Water

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