PROJECTS
METHANE ACROSS CANADA
Oil and gas developments across Canada are emitting unwanted greenhouse gases into our atmosphere. Our team can detect the presence and origin of these emissions.
As our trucks covered well over 100,000 km, we were collecting on the order of millions of geolocated gas concentration measurements.
Our analyzers measured the concentrations of several gases every second. We designed special algorithms to crunch the data.
Regional monitoring surveys like this allow us to pin-point sources contributing to poor air quality, and greenhouse emission hotspots.
Equipped-vehicle based surveys cover a large region at a very fine scale. We repeat all our surveys at least 3 times for certainty.
The gases we are detecting are typically a mixture of methane, which is bad for the greenhouse effect and in smaller amounts carbon dioxide. There can also be toxic gases such as hydrogen sulfide.
Does the frequency of vents and fugitive emissions depend on well class? Well age? Operator size? At what rate is the infrastructure emitting?
We have conducted extensive emissions monitoring surveys through upstream oil and gas developments in British Columbia (Montney region of Dawson Creek and Fort St. John), Alberta (Medicine Hat x2; Peace River x2; Lloydminster x3; Red Deer; Rocky Mountain House), Saskatchewan (Bakken; Weyburn-Midale), and New Brunswick (Stoney Creek x2). Maps to the right show driving routes on off-lease roads that we repeated 3-6 times, often over varying seasons. In each development we have repeatedly (2-6 times) sampled air downwind and within 500 m of 1000-3000 wells and facilities. We measure geolocated concentrations of several gases (methane, ethane, hydrogen sulphide, carbon dioxide, carbon isotopic composition of methane), wind speed and direction, temperature, and GPS location data in real-time at one second intervals while we survey.
Once back in the lab, we related the gas plumes we measured on-road to upwind infrastructure sources using a geospatial database. Our datasets were robust due to high sample numbers, high degree of replication, the use of control routes as ‘blanks’, and the defined minimum detection limits (high sensitivity). To enhance certainty, we tagged infrastructure as ‘emitting’ only if we have detected anomalies on over half of the survey passes. Our analysis was broken down into two phases. Phase I was used to define; emissions frequency (e.g. wells emitting / wells existing); severity; emissions frequency as a function of infrastructural class, development type, or operator size. Our Phase II analysis products included more refined volumetric inventory estimates, product loss rates (as % of production), and/or methane emissions intensity of oil production. In both phases our focus was on large-scale industry trends. We did not release operator-specific statistics because our sampling routes were determined largely by road access, and we did not design the routes for representative sampling across operators.
There was five important publications from this work:
These datasets offer significant opportunities for re-analysis. In the future we hope to investigate the episodic nature of emissions, summer-winter emission contrasts, and to highlight low-emitting developments, etc. In addition to the above, we’ve also made measurements at seneral oil sands operations, Carbon Capture and Storage sites, legacy wells, and coal operations/shafts in eastern Canada.