Calculating Methane Emissions from Offshore Facilities Using Bottom-Up Methods

With changing demands in regulation, understanding methane emissions from offshore oil and gas production infrastructure has become increasingly important. Reported emissions from facilities in the Gulf of Mexico range from zero to thousands of tons of methane per hour, but these is currently no clear understanding of how this range compares to expected emissions from normally operating facilities. To generate realistic emission estimates, we create two bottom-up models that simulate emissions from facilities operating in the Gulf of Mexico. We estimate type 1 prototypical facilities (typically unmanned, older, lower-producing platforms in shallow water with little processing equipment, compressors, or storage tanks) to emit an average of 13 kg CH4 h−1, which corresponds to a loss of 2.7% of the average facility production. Type 2 prototypical facilities (continuously manned, higher production and operate in deeper water with processing equipment, oil storage tanks, compressors and power generation) emit an average of 88 kg CH4 h−1, which corresponds to a loss of 2.5% of production. The average measured emission from type 1 facilities was 18 kg CH4 h−1 with a median production loss estimated at 8%. The average measured emission from type 2 facilities was 36 kg CH4 h−1 with a median production loss estimated at 2.4%. Using emission factors that consider the long-tail emission distribution partly reconciles the difference between modelled and measured emission estimates, but we suggest the current the fugitive emission estimate may be an underestimate and more data on the number and size of fugitive emissions could explain differences between the modelled and measured emission estimate. We suggest the bottom-up approach described here that uses production data coupled with facility equipment could be used to identify facilities that have abnormally large measured emissions, caused by methodological failure or larger than expected fugitive emissions, which should be targeted for further evaluation resulting in remeasurement or identification of source type so that a more accurate estimates can be made on the absolute emission.

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Publication Details

Journal
Eng—Advances in Engineering
Published
2025-08-12
DOI
https://doi.org/10.3390/eng6080199
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Calculating Methane Emissions from Offshore Facilities Using Bottom-Up Methods

Daniel Zimmerle, Stuart N. Riddick, Mercy Mbua, Catherine Laughery
Eng—Advances in Engineering
Atmospheric and Environmental Gas Dynamics
article

Calculating Methane Emissions from Offshore Facilities Using Bottom-Up Methods

Daniel Zimmerle, Stuart N. Riddick, Mercy Mbua, Catherine Laughery
article en

Abstract

With changing demands in regulation, understanding methane emissions from offshore oil and gas production infrastructure has become increasingly important. Reported emissions from facilities in the Gulf of Mexico range from zero to thousands of tons of methane per hour, but these is currently no clear understanding of how this range compares to expected emissions from normally operating facilities. To generate realistic emission estimates, we create two bottom-up models that simulate emissions from facilities operating in the Gulf of Mexico. We estimate type 1 prototypical facilities (typically unmanned, older, lower-producing platforms in shallow water with little processing equipment, compressors, or storage tanks) to emit an average of 13 kg CH4 h−1, which corresponds to a loss of 2.7% of the average facility production. Type 2 prototypical facilities (continuously manned, higher production and operate in deeper water with processing equipment, oil storage tanks, compressors and power generation) emit an average of 88 kg CH4 h−1, which corresponds to a loss of 2.5% of production. The average measured emission from type 1 facilities was 18 kg CH4 h−1 with a median production loss estimated at 8%. The average measured emission from type 2 facilities was 36 kg CH4 h−1 with a median production loss estimated at 2.4%. Using emission factors that consider the long-tail emission distribution partly reconciles the difference between modelled and measured emission estimates, but we suggest the current the fugitive emission estimate may be an underestimate and more data on the number and size of fugitive emissions could explain differences between the modelled and measured emission estimate. We suggest the bottom-up approach described here that uses production data coupled with facility equipment could be used to identify facilities that have abnormally large measured emissions, caused by methodological failure or larger than expected fugitive emissions, which should be targeted for further evaluation resulting in remeasurement or identification of source type so that a more accurate estimates can be made on the absolute emission.

Eng—Advances in EngineeringVol. 6(8)
University of the Highlands and Islands (GB), Colorado State University (US)
Office of Fossil Energy and Carbon Management
Openalex Percentile: Top 81%
Atmospheric and Environmental Gas Dynamics
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