In the classic film Back to the Future, Marty McFly accidentally goes back in time, returning to 1955 when his parents were teenagers. To get “back to the future”, his future, he must make sure that his parents meet and fall in love. Of course, there are hijinks along the way that threaten his very existence. With each misstep, he notices his siblings start to disappear from the family photograph he carries in his pocket, as he changes the course of history.
We’re going international! We are taking a trip up North to host our first-ever Integrity Plus Calgary Workshop! Pipeline operators and business partners are invited to our free event on March 22nd from 8am-5pm at the Calgary Marriott Downtown!
We’re thrilled to host our customers and partners in Calgary for this one-day deep
dive into risk management and data management, but you might be asking what makes our workshop stand out from the rest.
If you’ve ever performed an Inline Inspection (ILI) for a pipeline, you are likely familiar with the typical product of the survey which takes the form of a spreadsheet. This spreadsheet is usually referred to as a pipeline listing, master list, pipe tally, or similar and is a tabular dataset where each row is a feature reported by the ILI vendor. As seen in the example below, numerous columns are populated with data describing each feature such as: distance from launch, feature description, dimensions, and much more depending on the operator’s reporting specifications.
There is quite a lot of work that leads up to the generation of the listing including prepping the line, running the ILI tool, processing the data, analyzing the data, and generating the report. Inline inspections can cost anywhere from thousands to hundreds of thousands of dollars (or more!), the results of which ultimately culminate into one final deliverable: the pipe listing. I sometimes joke that an operator can say “I spent tons of money on an ILI run and all I got was this spreadsheet.” Rather than review the entire process, for now I want to focus just on that (expensive) pipe listing.
Each row of a pipe listing contains a reported feature or anomaly, but where does that information come from? Is it accurate? Can I trust it? So many decisions are made based on the information reported in the pipe listing so I think it warrants a closer look at its building blocks.