Liquids Pipeline Projects Database Tracking Over 200 Projects
Updated 5y ago
1filesXLS
Available on 1 platform
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Description
A database tracks over 200 pipeline projects for crude oil, hydrocarbon gas liquids, and petroleum products. It contains project information such as type, start date, capacity, mileage, and geographic details for projects completed since 2010 and future projects. The data is compiled from company documents, government filings, and trade press by the U.S. Department of Energy.
Use Cases
Analyze project type and capacity trends for crude oil and HGL pipelines to forecast infrastructure development.
Map pipeline mileage and geographic information to assess regional network density and connectivity.
Compare historical start dates and capacities of completed projects since 2010 to identify industry cycles.
Use project type and geographic data to model potential supply chain impacts of new pipeline construction.
Strengths
Tracks over 200 specific pipeline projects, providing a substantial sample for analysis.
Contains multiple project attributes including type, start date, capacity, and mileage for detailed study.
Includes both historical projects completed since 2010 and future projects for trend analysis.
Compiled from authoritative public sources like company documents and government filings.
Limitations
The dataset does not reflect assumptions on project completion likelihood or timing, limiting predictive use.
The last update was in July 2021, so information on future projects may be outdated.
The specific number of rows and columns is unknown, making it difficult to assess the dataset's full scale and structure.
Provenance
Source
U.S. Department of Energy, Energy Information Administration (EIA).
Collection Method
Compiled from public information in company documents, government filings, and trade press.
Time Range
Covers projects completed since 2010 and future projects (as of the 2021 update).
Freshness
Last updated on July 6, 2021.
Geography
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Data is provided in XLS format. The license is not specified, so users should verify terms of use. The dataset does not assess the probability or timing of project completion.