Characterizing the greenhouse gas impacts of natural gas resources : a life-cycle assessment and evaluation of new aerial technologies

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Abstract/Contents

Abstract
Greenhouse gas emissions from oil and natural gas production will need to be reduced as society transitions to a renewable energy economy and production declines. However, the energy system has significant inertia: even in a world meeting 1.5 ºC of warming targets, natural gas consumption is estimated to be 50% of 2020 levels in 2050. Previous research has shown that significant differences can exist in production emissions between different fossil fuel resources, and thus it is critical to develop metrics to minimize emissions during the energy transition. Based on an updated synthesis of measurements from component-level field studies, in Chapter 2 we develop a new inventory-based model for CH4 emissions, for the production-segment only, that agrees within error with recent syntheses of site-level field studies and allows for isolation of equipment-level contributions. We find that unintentional emissions from liquid storage tanks and other equipment leaks are the largest contributors to divergence with the US EPA Greenhouse Gas Inventory. If our proposed method were adopted in the United States and other jurisdictions, inventory estimates could better guide CH4 mitigation policy priorities. In Chapter 3, we calculate life-cycle emissions for natural gas production in the United States at the producing-county level. Results are aggregated and reported by basin. The bottom-up model from Chapter 2 is combined with an open-source life-cycle emissions calculator. We find that in both gas and oil rich basins, carbon intensity of the produced gas is dominated by methane emissions in all cases except when there is exceptionally high flaring. For dry gas fields (such as the Appalachian basin), carbon intensity is dominated by equipment leaks and pneumatic device venting. For mixed and oil dominant fields (such as the Williston basin), carbon intensity of the produced gas is dominated by tank emissions and flaring. We demonstrate that allocation choices (i.e., whether particular emission sources are assigned to oil and/or gas) have a large impact on the resulting carbon intensity. In Chapter 4, we perform a single-blind evaluation of the quantification capabilities of three aerial, airplane-based technologies (Bridger's Gas Mapping LiDAR, Carbon Mapper's Global Airborne Observatory, and GHGSat-AV) in blinded, controlled release trials with a focus on large emitters (10-2,000+ kg hr-1 CH4). In two 2021 campaigns, metered natural gas was released concurrently with overpasses by the tested technologies. Results were submitted by operators in a three-stage unblinding process. Detection rates of non-zero releases were 100%, 85%, and 86% for Bridger, Carbon Mapper, and GHGSat, respectively. The teams report parity slopes of 0.35 to 1.06, with R2 values of 0.35-0.78. We discuss implications for measurement methods and practical emissions reductions.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2022; ©2022
Publication date 2022; 2022
Issuance monographic
Language English

Creators/Contributors

Author Rutherford, Jeffrey Scott
Degree supervisor Brandt, Adam (Adam R.)
Thesis advisor Brandt, Adam (Adam R.)
Thesis advisor Jackson, Rob, 1961-
Thesis advisor Ravikumar, Arvind
Degree committee member Jackson, Rob, 1961-
Degree committee member Ravikumar, Arvind
Associated with Stanford University, Department of Energy Resources Engineering

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Jeffrey Scott Rutherford.
Note Submitted to the Department of Energy Resources Engineering.
Thesis Thesis Ph.D. Stanford University 2022.
Location https://purl.stanford.edu/qz093pr2585

Access conditions

Copyright
© 2022 by Jeffrey Scott Rutherford
License
This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

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