Dynamic Risk Assessment
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Dynamic Risk Assessment
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Author : Stephen Asbury
language : en
Publisher: Routledge
Release Date : 2014-04-16
Dynamic Risk Assessment written by Stephen Asbury and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-16 with Business & Economics categories.
Dynamic Risk Assessment is the key tool to support a holistic risk management framework. This book aims to help employers, managers and staff alike to understand how they can effectively integrate dynamic risk assessment into business management processes and systems to improve safety. With tips, examples and solutions throughout, this multi-disciplinary text delivers an effective and comprehensive approach to help you to understand how dynamic risk assessment (DRA) can be integrated into predictive (PRA) and strategic risk assessments (SRA) to enhance your organization’s effectiveness. The 3-Level Risk Management Model fully supports and complements the systematic ‘five steps to risk assessment’ process A multi-disciplinary approach to dynamic risk assessment that covers workers operating in teams and those working alone within the public, private and third sectors Contains practical examples, tips and case studies drawn from a wide range of organizations The book comes with access to downloadable materials from an accompanying website at: www.routledge.com/cw/dynamic-risk-assessment
Dynamic Risk Assessment And Fault Detection In Process Facilities
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Author : Omid Zadakbar
language : en
Publisher:
Release Date : 2014
Dynamic Risk Assessment And Fault Detection In Process Facilities written by Omid Zadakbar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
A new multivariate risk-based fault detection and diagnosis technique targeting the safety issues of a process system is being proposed. In contrast to typical fault detection methods which only aim to detect operational faults that affect the control objectives of the process, this method targets the safety of the process. Typical fault detection and diagnosis methods are inadequate as none of the methods considers the consequences of the fault on process safety, integrity and the environment. However the proposed method provides a dynamic process risk indication based on the probability of occurrence of a fault and its consequences. In this method, the consequence is expressed in economic value that demonstrates the potential economic impact of the fault on the process, equipment, workers and the environment. Through this approach, warning system and risk management strategies may be activated when the risk of operation exceeds the acceptable threshold. This is an important concept because it can direct the attention and effort of operators to the faults which poses the most operational or safety risk. Both model based and history based fault detection and diagnosis techniques have been extended to a risk-based fault detection and diagnosis framework. Application of this new risk-based approach provides early warnings and early activation of safety systems prior to the fault impacting the system. This multivariate technique provides much early warning compared to the univariate methods. It has more power in discerning between operational changes and abnormal conditions which have potential to cause accidents. The main benefits of this approach are improved safety, minimum interruption of operation, better alarm management or early warning system and higher availability of process. The novelties and contributions of this work are development of multivariate dynamic risk assessment methodology using history based and model based methods for linear and nonlinear models combined with a newly developed economic consequence analysis methodology. This methodology makes the severity of the faults more sensible by quantifying consequences in economic terms. This new economic consequence methodology helps to integrates real time process state to accident scenarios via loss functions. The proposed framework when implemented on a process could serve as a real-time process risk monitor. This would help to take preventive actions in order to minimize process risks.
Dynamic Risk Assessment Of Process Operations
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Author : Sunday Adeshina Adedigba
language : en
Publisher:
Release Date : 2018
Dynamic Risk Assessment Of Process Operations written by Sunday Adeshina Adedigba and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Process engineering systems have become increasingly complex and more vulnerable to potential accidents. The risks posed by these systems are alarming and worrisome. The operation of these complex process engineering systems requires a high level of understanding both from the operational as well as the safety perspective. This study focuses on dynamic risk assessment and management of complex process engineering systems' operations. To reduce risk posed by process systems, there is a need to develop process accident models capable of capturing system dynamics in real-time. This thesis presents a set of predictive process accident models developed over four years. It is prepared in manuscript style and consists of nine chapters, five of which are published in peer reviewed journals. A dynamic operational risk management tool for process systems is developed, considering evolving process conditions. The obvious advantage of the developed methodologies is that it dynamically captures the real time changes occurring in the process operations. The real time risk profile provided by the methodologies developed serve as performance indicator for operational decision making. The research has made contributions on the following topics: (a) process accident model considering dependency among contributory factors, (b) dynamic safety analysis of process systems using a nonlinear and non-sequential accident model, (c) dynamic failure analysis of process systems using principal component analysis and a Bayesian network, (d) dynamic failure analysis of process systems using a neural network and (e) an integrated approach for dynamic economic risk assessment of process systems.
Dynamic Risk Analysis In The Chemical And Petroleum Industry
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Author : Nicola Paltrinieri
language : en
Publisher: Butterworth-Heinemann
Release Date : 2016-08-06
Dynamic Risk Analysis In The Chemical And Petroleum Industry written by Nicola Paltrinieri and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-06 with Technology & Engineering categories.
Dynamic Risk Analysis in the Chemical and Petroleum Industry focuses on bridging the gap between research and industry by responding to the following questions: - What are the most relevant developments of risk analysis? - How can these studies help industry in the prevention of major accidents? Paltrinieri and Khan provide support for professionals who plan to improve risk analysis by introducing innovative techniques and exploiting the potential of data share and process technologies. This concrete reference within an ever-growing variety of innovations will be most helpful to process safety managers, HSE managers, safety engineers and safety engineering students. This book is divided into four parts. The Introduction provides an overview of the state-of-the-art risk analysis methods and the most up-to-date popular definitions of accident scenarios. The second section on Dynamic Risk Analysis shows the dynamic evolution of risk analysis and covers Hazard Identification, Frequency Analysis, Consequence Analysis and Establishing the Risk Picture. The third section on Interaction with Parallel Disciplines illustrates the interaction between risk analysis and other disciplines from parallel fields, such as the nuclear, the economic and the financial sectors. The final section on Dynamic Risk Management addresses risk management, which may dynamically learn from itself and improve in a spiral process leading to a resilient system. - Helps dynamic analysis and management of risk in chemical and process industry - Provides industry examples and techniques to assist you with risk- based decision making - Addresses also the human, economic and reputational aspects composing the overall risk picture
Dynamic Risk Assessment And Management Of Domino Effects And Cascading Events In The Process Industry
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Author : Valerio Cozzani
language : en
Publisher: Elsevier
Release Date : 2021-06-08
Dynamic Risk Assessment And Management Of Domino Effects And Cascading Events In The Process Industry written by Valerio Cozzani and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-08 with Technology & Engineering categories.
Dynamic Risk Assessment and Management of Domino Effects and Cascading Events in the Process Industry provides insights into emerging and state-of-the-art methods for the dynamic assessment of risk and safety barrier performance in the framework of domino effect risk management. The book presents methods and tools to manage the risk of cascading events involving the chemical and process industry. It is an ideal reference for both safety and security managers, industrial risk stakeholders, scientists and practitioners. In addition, laymen may find the state-of-the-art methods concerning domino effects (large-scale accidents) and how to prevent their propagation an interesting topic of study. - Includes dynamic hazard and risk assessment methods - Presents methods for safety barrier performance assessment - Addresses the effect of harsh environment on domino risk assessment - Relates physical security in relation to domino effects - Includes innovative methods and tools
Risk Assessment
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Author : Marvin Rausand
language : en
Publisher: John Wiley & Sons
Release Date : 2020-03-31
Risk Assessment written by Marvin Rausand and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-31 with Mathematics categories.
Introduces risk assessment with key theories, proven methods, and state-of-the-art applications Risk Assessment: Theory, Methods, and Applications remains one of the few textbooks to address current risk analysis and risk assessment with an emphasis on the possibility of sudden, major accidents across various areas of practice—from machinery and manufacturing processes to nuclear power plants and transportation systems. Updated to align with ISO 31000 and other amended standards, this all-new 2nd Edition discusses the main ideas and techniques for assessing risk today. The book begins with an introduction of risk analysis, assessment, and management, and includes a new section on the history of risk analysis. It covers hazards and threats, how to measure and evaluate risk, and risk management. It also adds new sections on risk governance and risk-informed decision making; combining accident theories and criteria for evaluating data sources; and subjective probabilities. The risk assessment process is covered, as are how to establish context; planning and preparing; and identification, analysis, and evaluation of risk. Risk Assessment also offers new coverage of safe job analysis and semi-quantitative methods, and it discusses barrier management and HRA methods for offshore application. Finally, it looks at dynamic risk analysis, security and life-cycle use of risk. Serves as a practical and modern guide to the current applications of risk analysis and assessment, supports key standards, and supplements legislation related to risk analysis Updated and revised to align with ISO 31000 Risk Management and other new standards and includes new chapters on security, dynamic risk analysis, as well as life-cycle use of risk analysis Provides in-depth coverage on hazard identification, methodologically outlining the steps for use of checklists, conducting preliminary hazard analysis, and job safety analysis Presents new coverage on the history of risk analysis, criteria for evaluating data sources, risk-informed decision making, subjective probabilities, semi-quantitative methods, and barrier management Contains more applications and examples, new and revised problems throughout, and detailed appendices that outline key terms and acronyms Supplemented with a book companion website containing Solutions to problems, presentation material and an Instructor Manual Risk Assessment: Theory, Methods, and Applications, Second Edition is ideal for courses on risk analysis/risk assessment and systems engineering at the upper-undergraduate and graduate levels. It is also an excellent reference and resource for engineers, researchers, consultants, and practitioners who carry out risk assessment techniques in their everyday work.
Dynamic Risk Assessment Access Control
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Author : Matthew Butler
language : en
Publisher:
Release Date : 2011
Dynamic Risk Assessment Access Control written by Matthew Butler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computer security categories.
Dynamic Risk Assessment Of Process Facilities Using Advanced Probabilistic Approaches
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Author : Mohammad Zaid Kamil
language : en
Publisher:
Release Date : 2019
Dynamic Risk Assessment Of Process Facilities Using Advanced Probabilistic Approaches written by Mohammad Zaid Kamil and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
A process accident can escalate into a chain of accidents, given the degree of congestion and complex arrangement of process equipment and pipelines. To prevent a chain of accidents, (called the domino effect), detailed assessments of risk and appropriate safety measures are required. The present study investigates available techniques and develops an integrated method to analyze evolving process accident scenarios, including the domino effect. The work presented here comprises two main contributions: a) a predictive model for process accident analysis using imprecise and incomplete information, and b) a predictive model to assess the risk profile of domino effect occurrence. A brief description of each is presented below. In recent years the Bayesian network (BN) has been used to model accident causation and its evolution. Though widely used, conventional BN suffers from two major uncertainties, data and model uncertainties. The former deals with the used of evidence theory while the latter uses canonical probabilistic models. High interdependencies of chemical infrastructure makes it prone to the domino effect. This demands an advanced approach to monitor and manage the risk posed by the domino effect is much needed. Given the dynamic nature of the domino effect, the monitoring and modelling methods need to be continuous time-dependent. A Generalized Stochastic Petrinet (GSPN) framework was chosen to model the domino effect. It enables modelling of an accident propagation pattern as the domino effect. It also enables probability analysis to estimate risk profile, which is of vital importance to design effective safety measures.
An Examination Of Dynamic Risk Assessment During The Response Phase Of A Major Emergency
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Author : Barbara Cahill
language : en
Publisher:
Release Date : 2011
An Examination Of Dynamic Risk Assessment During The Response Phase Of A Major Emergency written by Barbara Cahill and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Dynamic Risk Assessment Using Accident Precursor Data And Bayesian Theory
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Author : Maryam Kalantarnia
language : en
Publisher:
Release Date : 2009
Dynamic Risk Assessment Using Accident Precursor Data And Bayesian Theory written by Maryam Kalantarnia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.