Swimming in the Data Lake: Analyzing Pipeline Records Discrepancies Efficiently
By Sam Acheson, Ollie Burkinshaw and Simon Slater, ROSEN
The pipeline industry is working with an aging infrastructure, with about two-thirds of existing U.S. pipelines constructed before the 1980s. This creates challenges for analysis and decision making with the pipeline asset data.
Figure 1: Spatial discrepancy, as defined by ILI mapping unit.
For pipelines constructed today, technology provides mechanisms for effective and efficient routing and design, survey grade data collection technologies allow for capturing accurate location and properties at each weld, and standards-based data formats for storing this data have all contr
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