Case study
Four decades of pipeline incidents, and the gap nobody had measured
Alberta had four decades of oil-spill records and no clear picture of what they showed. We analysed roughly 62,000 incidents, and found that the story everyone worried about — how fast spills get reported — was not the problem.
- Client
- Government of Alberta
- Sector
- Energy · Environment · Public sector
- Role
- Direct engagement
- Period
- 38 years of records, 1975–2013
- incidents over 38 years
- ~62,000incidents over 38 years
- reported same day
- 94%reported same day
- resolved same day
- 20%resolved same day
The problem
A provincial government holds decades of incident records because it is required to, not because anyone has the time to read them. Alberta wanted to know what four decades of oil and pipeline incidents actually showed: what caused them, whether response was improving, and whether reactive maintenance was still defensible.
What we did
We assembled roughly 62,000 incident records spanning 1975 to 2013 and joined them against public environmental and geological data from NASA, NOAA and the USGS, plus contemporary news reporting for context the official record did not carry.
Then geospatial mapping of incident locations, time-series decomposition at yearly and monthly resolution, categorisation by incident type, and — the part that produced the finding — distribution analysis of notification lag against time-to-completion.
The finding that mattered
Reporting was not the problem. 94% of incidents were reported the same day, and 100% within three days. The regulatory machinery around notification was working.
Resolution was the problem, and nobody had put a number on it. Only 20% of incidents were closed out the same day. Half took ten days or more. Some ran for months or years. The gap between "we know about it" and "it is dealt with" was the real exposure, and it was invisible until the two distributions were put side by side.
~62,000 incidents · 1975–2013
The spike
The time series showed a steady rise in incidents over the period, consistent with rising extraction activity. It also showed one anomalous spike, in March 1997, that did not fit the trend.
Tracing it back: a magnitude-4.0 earthquake, 350 miles away, on 31 March 1997.
That is the kind of thread that does not surface from a dashboard. It surfaces because somebody looked at an outlier and asked what else happened that week.
Why it is publishable
Every input was public record. This case study names its client because the client is a government and the underlying data belongs to the public.
What are you trying to get right?
Tell us the decision you keep having to make with less certainty than you would like. We will tell you honestly whether the data you already have can support it — and if it cannot, we will say so on the first call rather than the third.