Greenhouse gas detection in the energy system : an integration of remote sensing and GIS database

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Abstract/Contents

Abstract
The oil and gas (O&G) system significantly contributes to global anthropogenic greenhouse gas emissions (GHGs). The rapid development of remote sensing technologies enables direct measuring of point-source GHGs within the O&G system. These technologies, known as "top-down" methods, demonstrated their capabilities in measuring methane, carbon dioxide, and gas flaring by collecting radiance in the shortwave infrared using airborne or spaceborne remote sensors. This study aims to enhance our understanding of GHGs in the O&G system using remote sensing and geographic information system (GIS) techniques. We first estimated field-level gas flaring volumes using the satellite gas flaring data and a global O&G field GIS database. We then introduced an improved method for detecting and quantifying methane emissions based on Sentinel-2 satellite imagery. Finally, we applied imaging spectroscopy methods to measure carbon dioxide emissions within the liquefied natural gas (LNG) supply chain, with a particular focus on LNG terminals.

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 2024; ©2024
Publication date 2024; 2024
Issuance monographic
Language English

Creators/Contributors

Author Zhang, Zhan, 1994-
Degree supervisor Brandt, Adam (Adam R.)
Thesis advisor Brandt, Adam (Adam R.)
Thesis advisor Jackson, Rob, 1961-
Thesis advisor Lobell, David (David Brian)
Degree committee member Jackson, Rob, 1961-
Degree committee member Lobell, David (David Brian)
Associated with Stanford Doerr School of Sustainability
Associated with Stanford University, Department of Energy Resources Engineering

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Zhan Zhang.
Note Submitted to the Department of Energy Resources Engineering.
Thesis Thesis Ph.D. Stanford University 2024.
Location https://purl.stanford.edu/nn240vk2786

Access conditions

Copyright
© 2024 by Zhan Zhang
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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