[ Value ]

The business case, on your own numbers

Beyond the SME-weeks a faster, cleaner revalidation gives back, the larger prize is the production that abnormal situations quietly cost you — on the order of $25M a year at a typical refinery (about 3–8% of capacity, most of it avoidable). Set your own numbers below; every input is yours, and the math is shown in full.

Grounded in published research and real industrial datasets
ASM ConsortiumARC AdvisoryU.S. CSBUK HSESPAR-H / PetroHRAHFACS-OGI
UC2C.AI · Hazard Navigator

Economic Value Calculator

Estimate the annual value at a single facility from one understanding of the safety system — paying off on both sides of process safety: fewer latent gaps that lead to incidents, and fewer self-inflicted trips of correctly-functioning safeguards. Every input is yours to set; defaults reflect published anchors, and the calculation is shown in full.

Your facility
Facility type
Average U.S. refinery scale. Sets a starting production value you can override.
Annual production value at risk
$ million / yr
Gross margin (refining, petrochemical) or netback (offshore) at full availability.
estimate from throughput
$
Abnormal-situation loss rate5.0%
1%5%10%
Share of production lost to abnormal situations. ASM Consortium: 3–8% of capacity; ARC Advisory: ~5%.
Addressable share9%
0%20%40%
Share of the abnormal-loss pool addressable by hazard intelligence. Derived from incident-causation analysis and cross-checked against the CSB corpus: ~9% count-weighted; 20–30% loss-weighted.
Realized capture35%
0%50%100%
Share of the addressable value actually realized — calibrated by pilot. A conservative starting value is shown.
Facilities in scope
site(s)
Scale per-facility value to your portfolio.
Estimated annual value created
$0
per year across 1 facility
How the figure is built — per facility
Production value at risk—
Abnormal-situation loss pool× 5.0%—
Addressable value× 9%—
Realized annual value× 35%—

The abnormal-loss pool spans both sides — incidents and operator-induced upsets (spurious activations of correctly-functioning safeguards). Analyst-efficiency savings (~$50–200K/yr) are additive and not counted here. Figures are illustrative and depend on your inputs.

How this is calculated

The model

Per-facility annual value is a transparent product of four factors, each set by you:

V = Vprod × Labn × faddressable × c

Vprod — annual production value at risk (margin or netback at full availability). Labn — share lost to abnormal situations, ~5% (ASM 3–8%; ARC ~5%, of which ~80% avoidable). faddressable — share of the abnormal-loss pool addressable by hazard intelligence, after ceding violations, slips, fatigue, and equipment/alarm failures to other interventions. c — realized capture, calibrated by pilot.

faddressable is derived from a disaggregation of incident causation: ~80% of process incidents involve human failure as a primary cause; removing the error types outside hazard intelligence's reach and retaining only decisions mediated by a missing or un-maintained documented hazard basis leaves a conservative count-weighted residual of ~9%. The U.S. Chemical Safety Board corpus shows that failure mode contributing to roughly half of major incidents; because losses concentrate in that catastrophe tail, the loss-weighted figure is 20–30%. We default to the 9% floor.

Sources: ASM Consortium and ARC Advisory (abnormal-situation losses); AFPM, Kimberlite, SBM Offshore, EIA, ICIS (facility economics); peer-reviewed human-factors literature, UK HSE, SPAR-H / PetroHRA, HFACS-OGI (causation); Kaszniak 2010, Baybutt 2016, Amyotte et al. 2011, El-Halwagi et al., and CSB investigation reports (incident-record cross-check).

Illustrative model for discussion. Defaults reflect published anchors; results are not a guarantee and should be calibrated against your facility data in a pilot. © UC2C.AI · Hazard Navigator.
[ The Problem ]

Modern safety systems work. But the complexity they create is drowning you.

Modern process safety works. More protection, more instrumentation, more rigorous analysis, more disciplined change management — it has driven incidents down.

But it came with a hidden cost. Between revalidations, every change, incident, and revision pulls the hazard basis a little further from reality — and keeping it current, consistent, and defensible is a relentless, under-resourced grind.

The basis drifts

Quietly, between revalidations

Inconsistent safeguard credits, un-reconciled MOCs, and stale scenarios accumulate where no one has the hours to look — until a revalidation or an audit forces the reckoning.

And it costs production

Nuisance trips, not safety events

When that context doesn’t reach the operator, a correctly-functioning safeguard trips the process exactly as designed — a spurious trip that takes production with it, with no safety event at all.

Abnormal situations of both kinds run on the order of 3–8% of capacity — tens of millions a year at a typical asset, most of it avoidable

[ A New Approach ]

The trade-off, dissolved

In functional-safety terms you already manage this trade-off: more protection raises the SIL, but it also raises the spurious-trip rate — every lever moves you along the same curve (IEC 61511). One understanding of the safety system improves both at once.

We don’t ask you to trade safety for uptime — and we never strip protection. We retire the contradictory or redundant safeguard credits that add nuisance trips without adding protection, and we shift the curve.

Safety Availability conventional trade-off one model — shift the curve