At OneBridge, we’re unleashing more of the pipeline industry’s potential by applying machine learning in oil and gas. While this may seem like futuristic empty talk, making today’s technology work for you is not impossible.
The change begins in integrity management when teams are free to stretch their talents and aim for big goals instead of disproportionately spending time on regulatory compliance tasks.
Will our macros catch all the actionable anomalies?
Integrity teams rely on a wide array of technologies to overlay and analyze smart tool runs, direct assessments, GIS, and more. It isn’t easy to consolidate all this information, but these days—due to new regulations—there’s a growing need for centralized data management. This is particularly challenging for mature pipeline companies that have years of information gathered from multiple sources. This patchwork of oil and gas pipeline data creates many complications:
Does this sound familiar? The integrity department finally received the smart tool data they’ve been waiting for, and the engineers are itching to start the analysis.
But before they begin, they have to contact the GIS department to align the vendor’s data with the pipeline system. Then, they’ll have to get a hold of the historical run info for comparison—and the most up-to-date spreadsheet is on the lead analyst’s computer. Or is it?
It’s the end of the year and the deadline for the annual PHMSA F&G report is looming. You’re in charge of handing the report off to the regulator, and, even though your team has been gathering information for a month, it’s still not complete.
For many pipeline operators this situation isn’t farfetched.
You get stuck waiting on critical info, and not only is PHMSA scrutinizing your every move, so is the company—the fines for filing a late report are $100K a day, up to $1M.
To help prevent gas pipeline failure, the federal Mega Rule has pipeline operators across the country verifying material records that date back decades. It’s a huge undertaking, considering much of the information is in paper files and field books.
To make these historical records retrievable and searchable, operators will need to digitize their information. But just finding this paperwork is a challenge, let alone correcting errors and formatting the results for use with modern integrity software.