Rethinking Turbulence Intensity: A Smarter Approach to Methane Dispersion Modeling
Emission models are just as important as the devices used to detect methane.
Here, we show how we have improved our emissions model to better account for turbulence, the rapid fluctuations in wind direction and speed that drive dispersion.
Qube’s Probabilistic Duration Model for Methane Emissions
What’s New?
Improved emission event bounding that accounts for source coverage
Source coverage is calculated based on whether devices are downwind of a particular source at a given time
We use short term probability to determine if correlation between source coverage and methane readings is coincidence or correlated
Given high enough probability, we can fill in short gaps and extend emissions