Research Digest 005

In this article

The Highwood Bulletin is our way of sharing what we learn. We publish regular updates on emissions management news, novel research, and special insights from our team of experts and our partners.


This month’s Research Digest in the Highwood Bulletin features new research on methane emissions from the Permian Basin, a new open-source tool for estimating methane emissions at fine temporal scales, research on the use of flare gas for power generation, a new explanation for annual methane variability, and newly published controlled release testing.


1/10th of Produced Gas Lost to Atmosphere in the New Mexico Permian Basin

Hyperspectral aerial surveys of 36,000 km2 in the New Mexican Permian basin estimate a total leak rate of 194 metric tonnes per hour. The researchers found 50% of total emissions come from a small set of sites emitting more than 308 kg/hr. The authors suggest that ground-based surveys underestimate total emissions due to omission of uncommon high magnitude leaks here.

Chen, Y., Sherwin, E. D., Berman, E. S., Jones, B. B., Gordon, M. P., Wetherley, E. B., … & Brandt, A. R. (2022). Quantifying Regional Methane Emissions in the New Mexico Permian Basin with a Comprehensive Aerial Survey. Environmental Science & Technology56(7), 4317-4323.


A New Tool for Exploring Variability of Methane Emissions at Fine Spatial and Temporal Scales

A new model has been developed for understanding the impact of temporal variability in methane emission rates at production sites and is tested in multiple scenarios. The skew and number of modes observed in emissions distributions depend on the time scale analyzed. Read more about the new Methane Emission Estimate Tool (MEET) here.

Allen, D. T., Cardoso-Saldaña, F. J., Kimura, Y., Chen, Q., Xiang, Z., Zimmerle, D., … & Harrison, M. (2022). A Methane Emission Estimation Tool (MEET) for predictions of emissions from upstream oil and gas well sites with fine scale temporal and spatial resolution: Model structure and applications. Science of The Total Environment829, 154277.


Power Generation Economically Feasible for Broad Range of Flare Gases

Economic analysis is carried out on flare gas recovery & utilization choices for various flare gas samples. Aiming to provide a guideline for economically optimal flare gas utilization, the authors note that although internal combustion power generation is economically feasible for nearly any flare gas composition, it has nearly no effect on CO2 emissions. The study concludes that recovery and utilization technologies other than power generation can reduce CO2 emissions by 40-90% here.

Khalili-Garakani, A., Nezhadfard, M., & Iravaninia, M. (2022). Enviro-economic investigation of various flare gas recovery and utilization technologies in upstream and downstream of oil and gas industries. Journal of Cleaner Production346, 131218.


Yearly Variations in Methane Emissions Growth can be Accounted for by Tropical Weather

Sea surface temperature variations in tropical oceans are found to be good predictors of continental methane flux in tropical regions of South America and Africa. Utilizing satellite data from 2010-2019, the analysis benefits from a strong signal associated with the 2014-16 El Niño. The researchers put forward this newly understood climate feedback mechanism here.

Feng, L., Palmer, P. I., Zhu, S., Parker, R. J., & Liu, Y. (2022). Tropical methane emissions explain large fraction of recent changes in global atmospheric methane growth rate. Nature communications13(1), 1-8.


Sensor Resolution of 1 ppm Leads to Reliable Leak Detection

Methane sensors are simulated in the Permian Basin, with leak rates of 1-10kg/hr. The authors examine trade offs between number of sensors and sensor sensitivity. A single sensor on site is found to be capable of detecting 1 ppm enhancement to background concentration for any leak exceeding 10 kg/hr. The authors recommend a fixed monitoring network with approximately 1 sensor per site to detect leaks of 5-10 kg/hr here.

Chen, Q., Modi, M., McGaughey, G., Kimura, Y., McDonald-Buller, E., & Allen, D. T. (2022). Simulated Methane Emission Detection Capabilities of Continuous Monitoring Networks in an Oil and Gas Production Region. Atmosphere13(4), 510.


Methane Inversion Approaches Compared for Stationary and Mobile Sensors

Localization and quantification algorithms are tested against 26 controlled release tests at TotalEnergies Anomaly Detection Initiatives in France. Previously built inversion models are found to be robust for both mobile and fixed-point sensors, both with unique advantages. Read more here.

Kumar, P., Broquet, G., Caldow, C., Laurent, O., Gichuki, S., Cropley, F., … & Ciais, P. (2022). Nearfield atmospheric inversions for the localization and quantification of controlled methane releases using stationary and mobile measurements. Quarterly Journal of the Royal Meteorological Society.


The Highwood Bulletin is our way of sharing what we learn. We publish regular updates on emissions management news, novel research, and special insights from our team of experts and our partners.

Explore related content

The Highwood Bulletin 067

It has been a wild week in methane! New methane import regulations in Europe could alter international gas trade and US Department of Energy announces a multi-lateral differentiated gas framework initiative. Meanwhile, JPMorgan is taking a stronger stance on methane. A new Nature Energy paper on differentiated gas and intel on Bill Nye are among the other stories in this week’s edition!

Let’s work together on your emissions management and technology challenges.

Over 1,000 subscribers receive our weekly Highwood Bulletin.

Like what you are reading?

We send out similar content on a weekly basis to our Highwood Bulletin email list.

Subscribe now


Sign me up for the Voluntary Initiatives waitlist


Sign me up for the Measurement and Reconciliation waitlist

By downloading this tool, you acknowledge that Highwood and MiQ will have access to your information and may occasionally contact you in reference to your use of the tool. Your email and personal contact information will not be shared beyond Highwood and MiQ.

Please fill out the form and you will receive the download link via e-mail.

Please fill out the form and you will receive the download link via e-mail.