In:
Earth System Science Data, Copernicus GmbH, Vol. 15, No. 8 ( 2023-08-24), p. 3761-3790
Kurzfassung:
Abstract. Reducing oil and gas methane emissions is crucially important for limiting
the rate of human-induced climate warming. As the capacity of multi-scale
measurements of global oil and gas methane emissions has advanced in recent
years, including the emerging ecosystem of satellite and airborne remote
sensing platforms, a clear need for an openly accessible and regularly
updated global inventory of oil and gas infrastructure has emerged as an
important tool for characterizing and tracking methane emission sources. In
this study, we develop a spatially explicit database of global oil and gas
infrastructure, focusing on the acquisition, curation, and integration of
public-domain geospatial datasets reported by official government sources and by industry, academic research institutions, and other non-government entities. We focus on the major
oil and gas facility types that are key sources of measured methane
emissions, including production wells, offshore production platforms,
natural gas compressor stations, processing facilities, liquefied natural
gas facilities, crude oil refineries, and pipelines. The first version of
this global geospatial database (Oil and Gas Infrastructure Mapping
database, OGIM_v1) contains a total of ∼ 6 million features, including 2.6 million point locations of major oil and gas
facility types and over 2.6×106 km of pipelines globally. For
each facility record, we include key attributes – such as facility type,
operational status, oil and gas production and capacity information,
operator names, and installation dates – which enable detailed methane
source assessment and attribution analytics. Using the OGIM database, we
demonstrate facility-level source attribution for multiple airborne remote-sensing-detected methane point sources from the Permian Basin, which is the
largest oil-producing basin in the United States. In addition to source attribution,
we present other major applications of this oil and gas infrastructure
database in relation to methane emission assessment, including the
development of an improved bottom-up methane emission inventory at high
resolution (1 km × 1 km). We also discuss the tracking of changes in
basin-level oil and gas activity and the development of policy-relevant
analytics and insights for targeted methane mitigation. This work and the
OGIM database, which we anticipate updating on a regular cadence, help fulfill
a crucial oil and gas geospatial data need, in support of the assessment,
attribution, and mitigation of global oil and gas methane emissions at high
resolution. OGIM_v1 is publicly available at https://doi.org/10.5281/zenodo.7466757 (Omara et al., 2022a).
Materialart:
Online-Ressource
ISSN:
1866-3516
DOI:
10.5194/essd-15-3761-2023
DOI:
10.5194/essd-15-3761-2023-supplement
Sprache:
Englisch
Verlag:
Copernicus GmbH
Publikationsdatum:
2023
ZDB Id:
2475469-9
