U.S. Department of EnergyOffice of Scientific and Technical Information
U.S. Offshore Pipeline and Reported Incident Datasets
Abstract
The U.S. Offshore Pipeline and Reported Incident Datasets provide a compilation of data from a variety of credible resources, spatially-temporally integrated into multivariate resources. This spatial resource includes more than 80,000 points along existing and abandoned pipelines in the Gulf with matched incidents based on similar lease blocks and temporal timelines (e.g., the incident date occurs within reported pipeline lifespan), structural characteristics, geologic and seafloor data, and meteorological, oceanographic, and biochemical statistics spatially and temporally matched to each point. This is provided as both a feature class in a file geodatabase, as well as a CSV file for ease of use. The pipeline incidents table is a CSV file containing more than 900 reported incidents from 1986 to 2021, including incident date, area (Outer Continental Shelf (OCS) lease block and area code), reported causes, reported incident information, and results (i.e., cost, repairs, inspections), along with quantitative severity metrics. Field dictionaries are included for both the pipeline locations and incidents datasets, which detail field definitions. The pipeline locations field dictionary includes original resource reference information.
- Authors:
-
- National Energy Technology Laboratory
- Publication Date:
- Other Number(s):
- 1d86c607-9898-4cbc-aaad-90fb837bc711
- Research Org.:
- National Energy Technology Laboratory - Energy Data eXchange; NETL
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- Subject:
- Advanced Infrastructure Integrity Model; Geohazard; Gulf Of Mexico; Incidents; Metocean; Oil and Gas Infrastructure; Pipeline Integrity; pipelines; spatial data
- OSTI Identifier:
- 2280823
- DOI:
- https://doi.org/10.18141/2280823
Citation Formats
Romeo, Lucy, Pfander, Isabelle, Duran, Rodrigo, Sabbatino, Michael, Schooley, Catherine, Wenzlick, Madison, Wingo, Patrick, Zaengle, Dakota, and Bauer, Jennifer. U.S. Offshore Pipeline and Reported Incident Datasets. United States: N. p., 2024.
Web. doi:10.18141/2280823.
Romeo, Lucy, Pfander, Isabelle, Duran, Rodrigo, Sabbatino, Michael, Schooley, Catherine, Wenzlick, Madison, Wingo, Patrick, Zaengle, Dakota, & Bauer, Jennifer. U.S. Offshore Pipeline and Reported Incident Datasets. United States. doi:https://doi.org/10.18141/2280823
Romeo, Lucy, Pfander, Isabelle, Duran, Rodrigo, Sabbatino, Michael, Schooley, Catherine, Wenzlick, Madison, Wingo, Patrick, Zaengle, Dakota, and Bauer, Jennifer. 2024.
"U.S. Offshore Pipeline and Reported Incident Datasets". United States. doi:https://doi.org/10.18141/2280823. https://www.osti.gov/servlets/purl/2280823. Pub date:Thu Jan 11 04:00:00 UTC 2024
@article{osti_2280823,
title = {U.S. Offshore Pipeline and Reported Incident Datasets},
author = {Romeo, Lucy and Pfander, Isabelle and Duran, Rodrigo and Sabbatino, Michael and Schooley, Catherine and Wenzlick, Madison and Wingo, Patrick and Zaengle, Dakota and Bauer, Jennifer},
abstractNote = {The U.S. Offshore Pipeline and Reported Incident Datasets provide a compilation of data from a variety of credible resources, spatially-temporally integrated into multivariate resources. This spatial resource includes more than 80,000 points along existing and abandoned pipelines in the Gulf with matched incidents based on similar lease blocks and temporal timelines (e.g., the incident date occurs within reported pipeline lifespan), structural characteristics, geologic and seafloor data, and meteorological, oceanographic, and biochemical statistics spatially and temporally matched to each point. This is provided as both a feature class in a file geodatabase, as well as a CSV file for ease of use. The pipeline incidents table is a CSV file containing more than 900 reported incidents from 1986 to 2021, including incident date, area (Outer Continental Shelf (OCS) lease block and area code), reported causes, reported incident information, and results (i.e., cost, repairs, inspections), along with quantitative severity metrics. Field dictionaries are included for both the pipeline locations and incidents datasets, which detail field definitions. The pipeline locations field dictionary includes original resource reference information.},
doi = {10.18141/2280823},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 11 04:00:00 UTC 2024},
month = {Thu Jan 11 04:00:00 UTC 2024}
}