Hazard Studies & Risk Assessment

Quantitative Risk Assessment (QRA)

Numerical risk modelling that withstands HSE, COMAH, MoEFCC, and underwriter scrutiny

What this study delivers

Quantitative Risk
Assessment (QRA)

QRA quantifies risk to individuals (LSIR / IRPA), communities (SR / F-N), and the environment from the credible major-accident set. Done well, QRA is the analytical bridge between scenario identification (HAZID/HAZOP) and risk-based decisions on siting, layout, occupancy, emergency response, and ALARP demonstration. Modern QRAs rely on validated frequency banks (OGP 434, HSE FRED, PURPLE BOOK / RIVM CPR-18), consequence modelling in PHAST / SAFETI / FLACS, ignition probability per Cox–Lees, atmospheric stability handling, and meteorological time-step weighting. Common challenges that distinguish a defensible QRA — congestion-and-confinement realism for VCE modelling, indoor-receptor and toxic-load criteria, and high-impact low-frequency case justification — are where execution quality is judged.

Quantitative Risk Assessment (QRA) — Overview
Study execution

How the study is executed

A structured, facilitated process — from scope definition through close-out — producing defensible, actionable outputs.

Hazard Scoping & Inventory Register

Compile major-accident hazard inventory from HAZID/HAZOP; define equipment envelope (MAWP, temperature, phase, inventory mass); select credible loss-of-containment scenarios (rupture, leak, BLEVE, toxic release) for the QRA scenario register.

Frequency Analysis & Source-Term Modelling

Derive leak frequencies from OGP 434 / HSE FRED / IOGP failure data; calculate source terms (orifice, fragmentation, two-phase flash, cryogenic) for each representative scenario class; document frequency basis and uncertainty band.

Consequence & Dispersion Modelling

Model thermal radiation (pool fire, jet fire), explosion overpressure (Multi-Energy / BST / CFD), BLEVE fireball, and toxic dispersion (AEGL, ERPG, IDLH) in PHAST / SAFETI / FLACS; apply meteorological time-step weighting.

Ignition Probability & Conditional Modifiers

Apply Cox-Lees ignition probability model with congestion-and-confinement uplift; calculate conditional modifiers (presence factor, escape probability, weather fraction, time-at-risk) per scenario; derive final event frequency set.

Risk Aggregation (LSIR / F-N / PLL)

Calculate Individual Risk (LSIR / IRPA) with GIS-integrated contours; compute Societal Risk F-N curves with national tolerability overlay; aggregate PLL by major accident hazard for dominant-contributor identification.

ALARP Demonstration & Risk-Reduction Options

Compare risk results against HSE R2P2 / CCPS tolerability criteria; run risk-reduction option appraisal with capex / risk-delta CBA; produce ALARP demonstration, sensitivity / Monte-Carlo analysis, and safety-case-ready documentation package.

Quantitative Risk Assessment (QRA) — Scope
Study scope

What the study covers in full

Frequency banking from OGP 434, HSE FRED, and IOGP / process-specific failure datasets
Source-term modelling: leak holes, fragmentation, BLEVE, two-phase, cryogenic flash
Consequence modelling in PHAST / SAFETI / FLACS with weather, terrain, and stability binning
Ignition probability per Cox–Lees or CCPS guidance with congestion-and-confinement uplift
Toxic load (Cn × t) modelling against AEGL, ERPG, IDLH, SLOT/SLOD endpoints
Individual risk (LSIR / IRPA), societal risk (F-N), and PLL aggregation
GIS-integrated risk contours and receptor-specific risk reporting
ALARP demonstration with gross-disproportion test and BAT benchmarking
Sensitivity and uncertainty quantification (Tornado, Monte Carlo, scenario perturbation)
Risk-reduction option appraisal — passive vs active, capex vs risk delta
Why it matters

Outcomes of Quantitative Risk Assessment (QRA)

Risk Quantification Accuracy
  • Quantifies harm distance for the credible MAH set — onshore and offshore
  • Surfaces dominant risk contributors that qualitative methods miss
  • Anchors realistic emergency planning zones and shelter-in-place strategy
  • Supports CCPS-style RIN (Risk Information Network) decision dialogue
COMAH / PADHI Permissioning Defence
  • Defensible under HSE PADHI consultation and COMAH safety case examination
  • Provides EPA RMP off-site consequence analysis with regulator-grade rigour
  • Meets MoEFCC, Factories Act, and SEVESO III risk demonstration
  • Supplies IEC 61511 SIF target risk-reduction-factor inputs
Risk-Informed Asset Decisions
  • Identifies the small fraction of equipment that dominates site risk
  • Drives inspection, isolation, and detection design where they pay off most
  • Informs occupied-building, control-room, and muster-point siting
  • Enables risk-based MOC review against an objective baseline
Capex Targeting & Underwriter Value
  • Targets capex to demonstrable risk reduction rather than perceived compliance
  • Improves underwriter pricing through objective risk evidence
  • Defends against gross-disproportion challenges in ALARP arguments
  • Avoids costly retrofits driven by late discovery of dominant scenarios
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