Study shows Permian Basin ethane emissions underestimated by seven-fold
13 September 2024
University of Minnesota researchers developed a new tool to measure ethane (C2H6)—a gas commonly found in natural gas—from space, leading to a better understanding of fossil fuel emissions worldwide.
The team used measurements from a satellite-based instrument to detect how infrared radiation emitted by the Earth travels through the atmosphere and escapes to space. Some of this radiation is absorbed by gases in Earth’s atmosphere, and this provides a way to quantify the abundance of those gases. The study has been published in Nature Communications [6273].
The study used a machine learning algorithm to determine the atmospheric ethane concentrations based on the satellite measurements, then used the results to map ethane over key oil and gas basins around the world.
Key findings from the study include:
- The Permian Basin in western Texas and southeastern New Mexico has the highest persistent ethane signals on the planet.
- This single basin accounts for at least 4-7% of the total fossil-fuel ethane source worldwide.
- Analysis of the observations shows that ethane emissions from the Permian are currently underestimated by seven-fold.
“We’ve known for some time that our current estimates of ethane emissions are too low, and this new tool allows us to see where on the planet those missing emissions are probably coming from. The Permian Basin is the most obvious ethane emitter in our dataset, but we can see fossil fuel emissions all over the world and will be examining those sources too in the near future,” said Jared Brewer, the lead author of the study.
This research is a first step towards using satellite measurements to track atmospheric ethane emissions. Tools are planned that will provide measurement continuity into the 2030s and the ability to map fossil fuel emission changes over time. Additional instruments are being planned for launch into geostationary orbits, which will provide hourly, rather than daily, observations and finer-scale information to better understand and reduce air pollutant emissions.
Source: University of Minnesota