Industry Process Safety

2022 ◽  
pp. 960-995
Author(s):  
Ales Bernatik
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Technical Progress ◽  
Accident Prevention ◽  
Quantitative Risk Assessment ◽  
Process Safety ◽  
Industrial Accidents ◽  
New Approaches ◽  
Industrial Companies ◽  
Major Accident

This chapter deals with the issue of process safety in industrial companies and major accident prevention. In the present-day technologically advanced world, industrial accidents appear ever more frequently, and the field of major accident prevention has become a dynamically developing discipline. With accelerating technical progress, risks of industrial accidents are to be reduced. In the first part, possible approaches to quantitative risk assessment are presented; and continuing it focuses on the system of risk management in industrial establishments. This chapter aims at providing experiences, knowledge, as well as new approaches to the prevention of major accidents caused by the implementation of the Seveso III Directive.

Industry Process Safety

2020 ◽  
pp. 117-151
Author(s):  
Ales Bernatik
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Technical Progress ◽  
Accident Prevention ◽  
Quantitative Risk Assessment ◽  
Process Safety ◽  
Industrial Accidents ◽  
New Approaches ◽  
Industrial Companies ◽  
Major Accident

This chapter deals with the issue of process safety in industrial companies and major accident prevention. In the present-day technologically advanced world, industrial accidents appear ever more frequently, and the field of major accident prevention has become a dynamically developing discipline. With accelerating technical progress, risks of industrial accidents are to be reduced. In the first part, possible approaches to quantitative risk assessment are presented; and continuing it focuses on the system of risk management in industrial establishments. This chapter aims at providing experiences, knowledge, as well as new approaches to the prevention of major accidents caused by the implementation of the Seveso III Directive.

Risk Management applied to Offshore Oil & Gas Units

2015 ◽  
Author(s):  
Karina F. Souza ◽  
Olivier Benyessaad
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Production Efficiency ◽  
Process Safety ◽  
Gas Industry ◽  
Personnel Safety ◽  
Offshore Oil ◽  
Oil Gas

Nowadays there is a greater demand in the Oil & Gas Industry for production efficiency and sustainability while it is necessary to ensure the process safety and quality. As a guideline, this paper will start describing the existent hazards in a typical offshore unit, focusing mainly the personnel safety. Then it will detail the differences among the studies which can be performed in order to identify and assess such hazards and consequently to perform a complete Risk Assessment, which is the key step for a successful Risk Management. Additionally, it will be demonstrated the reasons why a Risk Management is necessary to ensure safety in an Oil & Gas installation in the most optimized manner.

Implementation of Quantitative Risk Assessment: Case Study

2014 ◽  
Author(s):  
David Mangold ◽  
W. Kent Muhlbauer ◽  
Jim Ponder ◽  
Tony Alfano
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Risk Management ◽  
The United States ◽  
Management Program ◽  
Quantitative Risk Assessment ◽  
Management Decision ◽  
Classical Statistics ◽  
Wide Range

Risk management of pipelines is a complex challenge due to the dynamic environment of the real world coupled with a wide range of system types installed over many decades. Various methods of risk assessment are currently being used in industry, many of which utilize relative scoring. These assessments are often not designed for the new integrity management program (IMP) requirements and are under direct challenge by regulators. SemGroup had historically used relative risk assessment methodologies to help support risk management decision-making. While the formality offered by these early methods provided benefits, it was recognized that, in order to more effectively manage risk and better meet the United States IMP objectives, a more effective risk assessment would be needed. A rapid and inexpensive migration into a better risk assessment platform was sought. The platform needed to be applicable not only to pipeline miles, but also to station facilities and all related components. The risk results had to be readily understandable and scalable, capturing risks from ‘trap to trap’ in addition to risks accompanying each segment. The solution appeared in the form a quantitative risk assessment that was ‘physics based’ rather than the classical statistics based QRA. This paper will outline the steps involved in this transition process and show how quantitative risk assessment may be efficiently implemented to better guide integrity decision-making, illustrated with a case study from SemGroup.

Bringing to life line-of-sight for major accident prevention

2012 ◽  
Vol 52 (2) ◽  
pp. 641
Author(s):  
Philip Askew ◽  
Vikrant Mulgund ◽  
Leesa Tan ◽  
Robin Wright
Keyword(s):  
Value Chain ◽  
Operations Management ◽  
Performance Standards ◽  
Accident Prevention ◽  
Hazard Identification ◽  
Line Of Sight ◽  
Process Safety ◽  
Major Accident ◽  
Safety Cases ◽  
The Uk

The process safety of exploration and production has evolved since Piper Alpha with safety cases, hazard identification studies (HAZIDs) in design and, more recently, Bow-Ties becoming industry norm; however, recent incidents such as Texas City, Macondo, Varanus Island and Montara have shown industry and regulators from the UK, Australia and beyond that complacency cannot be allowed. The industry has been acting on process safety, but it has struggled to bring it to life in daily operations. Missed warning signals, poor change management, failure to follow procedures, capability issues and lack of communication have been preventable factors in these incidents. Recent efforts in Australia, using the line-of-sight methodology, are advancing process safety by bringing to life major accident prevention. The methodology focuses organisations on systematic management of preventative barriers to accidents and can be applied to all elements of the value chain. The methodology involves: conducting analysis of safety cases; assessing performance standards and safety to identify critical preventative barriers; developing measures and assigning accountabilities to monitor barrier effectiveness; and, developing tracking and reporting systems to provide visibility across operations management. A case study about an Australian operator has shown benefits in improved safety and operational performance. This is done by focusing the operators on critical barriers (as well as their normal daily jobs), better visibility on the state of operations and hence allowing a proactive approach to managing process safety. The system is in its infancy, but it is being improved to support line-of-sight becoming a standard tool across the industry.

Utilizing Modern Data and Technologies for Pipeline Risk Assessment

2016 ◽  
Author(s):  
David Mangold ◽  
Ryan Huntley
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Overland Flow ◽  
Risk Model ◽  
Data Availability ◽  
Quantitative Risk Assessment ◽  
Risk Modeling ◽  
Risk Models ◽  
Core Element ◽  
Gas Dispersion

Risk management of gas and hazardous liquid pipeline systems is a core element of US integrity management regulations (49 CFR part 192, subpart O; 49 CFR 195.452) and a challenging responsibility facing operators worldwide. The importance of health, safety, and environmental protection demands a continuous evolution of industry expectations, practices, and regulations, with regulators and operators invariably seeking ways to advance risk modeling methodologies for pipeline risk assessment. The evolution to more advanced risk modeling methodologies marks a transitional trend from simple, relative risk models to robust, quantitative risk models. A common challenge when implementing a more advanced risk model is supplying sufficient supporting data. This challenge highlights a necessary, parallel progression; the expansion of data availability and improvement of data quality to support risk management. Many data resources have become available to aid this progression through advancements in spatial processing, computational technologies, and data collection and availability across industries. Powerful analysis tools are now available to supply pressure loss, overland flow, liquid trace, and gas dispersion information to enhance risk modeling, along with a vast and increasing amount of publicly available data and statistics. Proper integration of this information can greatly reduce the challenges associated with the implementation of quantitative risk assessment and better support risk-based decision making. This paper details the availability and utilization of modem data and technologies for pipeline risk assessment. Examples are provided which illustrate the integration of data and technology resources to support a robust, quantitative risk model.

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