While we should view database-input information suspiciously, insights may nonetheless emerge. Joel Anderson recently compared the reported property damage costs with the reported release volumes in PHMSA data 2010 to 2018. spill vol vs prop damage cost This is just pipeline spills, excluding tanks, etc. Note this plot is log-log scale so small changes can equate […]
Results for Anderson
Pipeline Hazardous Liquid Spills Analyses
Liq Spills Analyses Here’s some more interesting work from Joel Anderson: an examination of recent hazardous liquid spill volumes, from the PHMSA reporting databases. Analyses like these not only help us with basic understanding of pipeline releases, but also provide useful input into risk assessments. In many cases, our estimates of location-specific loss potential are […]
CoF Data Analyses
How well do the PHMSA reportable incident consequences track other incident data? More interesting work by Joel Anderson. CoF_multiplot
CoF vs PIR
How well correlated are PHMSA reportable incident consequences with PIR? more interesting work from Joel Anderson CoF_vs_PIR_vs_Class
Decision Trees and Risk Assessment
An interesting contribution from Joel Anderson Pipeline Risk algorithms can take in hundreds of variables and perform hundreds more calculations to determine the probability of failure for a given segment of pipe. Trying to determine what threats are biggest contributor to a system’s risk or even over the length of a given line can be […]