TY - JOUR
T1 - Calculating Methane Emissions from Offshore Facilities Using Bottom-Up Methods
AU - Riddick, Stuart N.
AU - Mbua, Mercy
AU - Laughery, Catherine
AU - Zimmerle, Daniel J.
N1 - © 2025 by the authors.
PY - 2025/8/12
Y1 - 2025/8/12
N2 - 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.
AB - 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.
KW - bottom-up
KW - emission
KW - methane
KW - offshore
KW - oil and gas
KW - production facility
UR - https://www.scopus.com/pages/publications/105014455606
UR - https://www.scopus.com/pages/publications/105014455606#tab=citedBy
U2 - 10.3390/eng6080199
DO - 10.3390/eng6080199
M3 - Article
AN - SCOPUS:105014455606
SN - 2673-4117
VL - 6
JO - Eng
JF - Eng
IS - 8
M1 - 199
ER -