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Page 1
Machine learning techniques to increase the performance of indirect methane quantification from a single, stationary sensor.
Heliyon. 2022 Nov 29;8(12):e11962. doi: 10.1016/j.heliyon.2022.e11962. eCollection 2022 Dec.
Heliyon. 2022.
PMID: 36578421
Free PMC article.
Methane emissions from oil and gas production sites and their storage tanks in West Virginia.
Johnson D, Clark N, Heltzel R, Darzi M, Footer TL, Herndon S, Thoma ED.
Johnson D, et al. Among authors: heltzel r.
Atmos Environ X. 2022 Dec;16:1-11. doi: 10.1016/j.aeaoa.2022.100193.
Atmos Environ X. 2022.
PMID: 37091901
Free PMC article.
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On the Long-Term Temporal Variations in Methane Emissions from an Unconventional Natural Gas Well Site.
Johnson D, Heltzel R.
Johnson D, et al. Among authors: heltzel r.
ACS Omega. 2021 May 27;6(22):14200-14207. doi: 10.1021/acsomega.1c00874. eCollection 2021 Jun 8.
ACS Omega. 2021.
PMID: 34124443
Free PMC article.
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Temporal Variations in Methane Emissions from an Unconventional Well Site.
Johnson D, Heltzel R, Oliver D.
Johnson D, et al. Among authors: heltzel r.
ACS Omega. 2019 Feb 19;4(2):3708-3715. doi: 10.1021/acsomega.8b03246. eCollection 2019 Feb 28.
ACS Omega. 2019.
PMID: 31459583
Free PMC article.
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Development of engine activity cycles for the prime movers of unconventional natural gas well development.
Johnson D, Heltzel R, Nix A, Barrow R.
Johnson D, et al. Among authors: heltzel r.
J Air Waste Manag Assoc. 2017 Mar;67(3):371-388. doi: 10.1080/10962247.2016.1245220.
J Air Waste Manag Assoc. 2017.
PMID: 27723415
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Estimated Emissions from the Prime-Movers of Unconventional Natural Gas Well Development Using Recently Collected In-Use Data in the United States.
Johnson D, Heltzel R, Nix A, Darzi M, Oliver D.
Johnson D, et al. Among authors: heltzel r.
Environ Sci Technol. 2018 May 1;52(9):5499-5508. doi: 10.1021/acs.est.7b06694. Epub 2018 Apr 13.
Environ Sci Technol. 2018.
PMID: 29652139
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