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Our Solutions: Consulting

Quantitative Risk Assessment (QRA)

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What is Quantitative Risk Assessment (QRA)

Quantitative Risk Assessment (QRA) is a data-driven method for evaluating and managing industrial risks. It uses numerical data to estimate the likelihood and consequences of potentially hazardous events, providing a structured framework for risk analysis in complex industrial environments. QRA provides measurable metrics, such as Location-Specific Individual Risk (LSIR) and societal risk (represented by F-N curves), which help organizations assess and quantify risks. This approach enables informed decision-making, ensuring compliance with industry standards like API 752/753, ISO 31000, and other relevant regulatory requirements.

QRA is essential for industries handling hazardous materials, such as chemical processing, oil and gas, and manufacturing, where incidents can lead to significant environmental damage, injuries, and financial losses. The QRA process begins with identifying potential hazards in the system, often using such as Event Tree Analysis (ETA), Hazard Identification (HAZID), and Fault Tree Analysis (FTA), then combines statistical data, historical records, and probabilistic models to evaluate the likelihood and potential consequences of incidents.

By quantifying risk, QRA helps organizations prioritize safety efforts, allocate resources efficiently, and avoid relying on subjective judgments, ensuring that risk management decisions are based on concrete, data-backed insights.

Applications and Industries

By quantifying the likelihood and consequences of potential incidents, QRA helps organizations make informed decisions to minimize risks and enhance safety. Key applications of QRA include:

  • Site Selection and Layout Planning: Determining the safest locations and facility layouts based on risk contours and population vulnerability.

  • Process and Safety System Design: Using Layer of Protection Analysis (LOPA) to evaluate and optimize safety systems.

  • Emergency Response Planning: Improving preparedness by modeling consequence scenarios to enhance emergency strategies.

  • Installation Spacing Requirements: Defining safe distances between equipment and structures using blast overpressure and thermal radiation calculations.

  • Process Deviation Control: Integrating HAZOP (Hazard and Operability Study) to identify and mitigate process deviations.

  • Fire Protection Design: Supporting the design of fire protection systems based on risk analysis.

  • Gas Detection System Optimization: Refining gas detection system layouts using dispersion modeling.

  • Emergency Isolation Measures: Evaluating the effectiveness of isolation systems through reliability analysis.


Sigma-HSE focuses on industries with high-risk processes, including:

  • Chemical Processing (including flammable and/or toxic release modeling)
  • Oil and Gas Operations
  • Manufacturing Facilities (emphasizing occupied building risk assessments)
  • Industrial Complexes (with domino effect analysis)

QRA Implementation Process

Sigma-HSE’s QRA methodology follows a structured process to ensure thorough analysis and effective risk management:

Hazard Identification

The first critical step in the QRA process is comprehensive hazard identification:

  • Consider both internal process hazards and external events that could impact the facility.


Consequence Analysis

Once hazards are identified, perform a detailed consequence analysis:

  • Utilize approved consequence modeling software to simulate potential outcomes.
  • Estimate potential impacts of fire, explosion, and toxic release scenarios.
  • Consider worst-case and alternative release scenarios as outlined in applicable risk management regulations.


Frequency Assessment

To determine the likelihood of hazardous events:

  • Use reliability data from recognized industry databases.
  • Apply Fault Tree Analysis (FTA) and Event Tree Analysis (ETA) techniques to estimate event frequencies.


Risk Calculation and Evaluation

Combine consequence and frequency data to calculate and evaluate risks:

  • Calculate Individual Risk and Societal Risk metrics.
  • Compare results to industry benchmarks and company-specific risk tolerance criteria.
  • Use appropriate software tools for comprehensive risk calculations.


Risk Mitigation and ALARP Demonstration

Focus on risk reduction strategies:

  • Implement a hierarchy of controls as outlined in relevant safety standards.
  • Demonstrate that risks are As Low As Reasonably Practicable (ALARP) using Cost-Benefit Analysis (CBA).
  • Ensure compliance with applicable federal and state regulations.


Sensitivity Analysis

Account for uncertainties in the analysis:

  • Perform sensitivity studies to understand the impact of key assumptions on risk results.
  • Use appropriate simulation techniques to account for variability in input parameters.


Documentation and Reporting

Prepare comprehensive documentation:

  • Develop a detailed QRA report following industry-recognized guidelines.
  • Ensure the report meets requirements for Process Safety Information per OSHA PSM standard.


Additional Considerations

  • Incorporate Layer of Protection Analysis (LOPA) as a semi-quantitative risk assessment technique, which is widely used in the US chemical and petrochemical industries.
  • Consider facility siting requirements as per API RP 752 for permanent buildings and API RP 753 for portable buildings.
  • Address security vulnerabilities in the risk assessment process, as emphasized by relevant national security standards.

Why Quantitative Risk Assessment (QRA) Matters

QRA provides a detailed, data-based approach to understanding and managing risks in complex industrial environments. It allows organizations to:

  • Quantify hazard likelihood and impact with clear, measurable values for risk.

  • Make data-driven decisions on safety, process design, and resource allocation.

  • Facilitate communication across all stakeholders, from management to operations teams, by using a common language for discussing risk.

  • Ensure regulatory compliance by demonstrating proactive risk management and meeting industry standards such as API 752/753 and ISO 31000.

  • Prioritize resource allocation to high-risk areas, improving risk mitigation effectiveness.

  • Guide long-term planning, enhance emergency response strategies, and improve emergency preparedness for worst-case scenarios.

Sigma-HSE’s Risk Assessment Process

Sigma-HSE utilizes a comprehensive, data-backed methodology to conduct QRA, incorporating the latest technology and industry best practices:

Data Selection and Rule Set Development: We use recognized failure rate databases (e.g., HCRD, OGP, OREDA) to build strong data sets.

Consequence Analysis: We model the physical effects of hazardous events using tools like  PHAST, SAFETI, EFFECTS, RISCKCURVES and others.

Frequency Analysis: We estimate the likelihood of risks by factoring in human error probabilities and equipment reliability data.

Risk Evaluation: We evaluate the results using industry-accepted tolerance criteria such as the ALARP principle.

Sensitivity and Uncertainty Analysis: We use probabilistic techniques to assess the confidence level of our risk predictions.

Facility Siting and Occupied Building Risk Assessment: Following API 752/753 guidelines, we determine safe distances and risk zones.

The Sigma-HSE Advantage

Sigma-HSE offers decades of expertise in Quantitative Risk Assessment (QRA), using advanced computational tools and industry-standard methodologies to deliver precise, reliable results. Whether conducting high-level evaluations or in-depth studies, our team brings a wealth of experience to ensure comprehensive risk analysis and management.

By partnering with Sigma-HSE, organizations gain actionable insights into risk management strategies, enabling them to make informed, data-backed decisions to safeguard their operations, assets, and personnel.

Sigma-HSE provides a proactive approach to industrial risk management, helping you identify and mitigate potential hazards, ensuring long-term safety and success.

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Frequently asked questions

Quantitative Risk Assessment (QRA) is a method used to evaluate and manage risks by calculating the likelihood and potential impact of hazardous events using data and statistical models. It helps organizations identify potential hazards, prioritize safety measures, and develop strategies to reduce risks to acceptable levels.

The key components of QRA include:

  • Hazard identification: Determining what risks or hazards exist within a process or facility.
  • Risk quantification: Using data and models to calculate the likelihood and consequences of hazards.
  • Risk mitigation: Identifying strategies to reduce risks to a manageable level.
  • Uncertainty analysis: Assessing how variability in data and scenarios may affect the risk predictions.

Quantitative Risk Assessment (QRA) stands apart from other types of risk assessments due to its data-driven approach. Unlike qualitative risk assessments, which rely on subjective judgment, QRA uses statistical data, probabilistic models, and historical incident records to quantify the likelihood and impact of hazardous events. This allows for precise risk mitigation strategies and ensures organizations prioritize safety measures based on actual data, not assumptions.

In the process industry, QRA results are used to prioritize safety measures, improve safety system designs, support decision-making on risk reduction, and guide emergency response planning. The results help ensure compliance with safety regulations and demonstrate that risks are effectively managed to protect workers, the environment, and assets.

Some challenges of QRA include:

  • Data availability and quality: Accurate and relevant data is essential for reliable risk assessments. Incomplete or poor-quality data can impact the results.

  • Modeling uncertainty: While uncertainty analysis helps, predicting the exact likelihood and consequences of certain hazards can still be challenging.

  • Complexity of processes: In industries with complex operations, modeling all potential hazards and interactions accurately can require significant expertise and resources.

The ALARP principle (As Low As Reasonably Practicable) is central to QRA. It states that risks should be reduced to a level that is as low as reasonably possible, considering the cost, time, and effort required to do so. In a Quantitative Risk Assessment, we apply the ALARP principle to determine if the risks identified in a facility or operation are acceptable. If risks exceed ALARP thresholds, additional risk control measures are recommended.

QRA helps organizations meet regulatory requirements by providing a data-driven approach to understanding hazardous risks. By quantifying risks and comparing them to industry standards (e.g., API 752/753, ISO 31000), QRA demonstrates that an organization has proactively identified and managed risks. It supports regulatory compliance, ensuring that safety practices align with local, national, and international safety regulations and best practices.

Quantitative Risk Assessment (QRA) plays a vital role in emergency preparedness by identifying and assessing hazardous scenarios that could occur during operations. By modeling potential consequences (e.g., fires, explosions, toxic releases), QRA helps improve emergency response plans, ensuring that the right safety measures are in place to protect personnel and assets. It supports better evacuation strategies and helps optimize safety system designs to handle worst-case scenarios effectively.

Uncertainty analysis is essential for understanding the range of possible outcomes in any risk assessment. By incorporating uncertainty analysis into QRA, organizations can estimate the confidence level of risk predictions. This approach allows decision-makers to account for variability in data and risk scenarios, ensuring that mitigation strategies are robust and realistic. It gives a more comprehensive view of potential risks and supports informed decision-making.

A Quantitative Risk Assessment (QRA) should be updated regularly, especially when there are changes in operational processes, safety systems, or when new technologies are introduced. It is also important to review and update QRAs whenever there are changes in regulatory requirements or after major incidents. Regular updates ensure that the risk assessment remains accurate and continues to provide valuable insights for risk management.

If your facility or project involves hazardous materials or high-risk processes—such as those in the oil & gas, chemical, or manufacturing sectors—QRA is highly recommended. Additionally, if you are designing a new facility, expanding an existing one, or involved in projects that could impact public safety or the environment, QRA is an essential tool to assess and manage risks. Sigma-HSE can help you determine whether QRA is necessary based on your specific operations and regulatory needs.

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What Our Customers Say

The detail oriented approach of the consultants helped our team in identifying the various risks & hazards involved in different stages of the project and helped us in making design and operational changes at the right time.
Project Engineer
Chemicals Industry
I would like to highlight the prompt and professional response to our enquiry, the quick turnaround time for the tests and report, and the constant communication throughout the process.
Senior Process Development Engineer
Electronics Parts Supplier
I just want to extend my compliments to your technical team for their valuable contributions to the HAZOP. Their feedback was excellent, and the facilitation was outstanding.
Principal Mechanical Engineer
Large Aluminum Manufacturer
Sigma-HSE completed DSEAR assessments for multiple sites around the UK with flawless execution. Considering our flammable chemical inventories, the assessments were crucial in identifying hazardous areas to reduce the risks of explosive atmospheres at our sites.
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Printing Industry
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