Continuity

In oil & gas there’s a common pattern: one “go-to” person owns integrations, and while they’re around, everything works.

But when that person leaves or gets promoted — automations slowly break down. Knowledge walks out the door, and the value invested in those data pipelines is lost. Within a year integrations go from “solved” to "broken", and often revert to a manual process.

I've seen this happen a few times now. It's surprising how large an operator can be, with many resources, but in this critical area still be completely dependent on one person.

In some ways, I think it's a natural byproduct of the ingenuity and can-do culture of oil and gas. There's a problem, we need to get data from one system to another. Someone jumps in using python, R, or their tool of choice and they figure it out. That person just became the expert on data integrations.

This works well enough in the short term. The problems come as scale hits.

A couple of integrations grows into 30, and now that one employee is the only person who knows what automations are running, where they're running, and how they work.

Best case: that employee spends more and more of their time maintaining a growing collection of data automations. What started out as the fastest way to get on with their job, has become a growing task that gets in the way of their job, and a commitment to keep this stuff running for the next 10 years.

Worst case (and the most common): That employee moves on. In a single day "solved problem" becomes "we don't even know what we've got running until it breaks". It happens - often.

I’m clearly talking my own book here — and for good reason. PetroBricks is built to solve this problem. Automations live on a centralized platform that doesn’t depend on any single individual. They’re easy for new team members to understand, monitor, and maintain. And when questions arise, our team is there for support.

But whether you use PetroBricks or manage your own internal solutions, continuity comes down to a few key practices:

• Avoid single-person dependency — multiple people need to manage data automations.

• Maintain a living directory— Keep a clear list of all data automations, what they do, who the stakeholders are, and where they run.

• Implement consistent monitoring & alerting — Know the moment something fails, not because a dashboard stopped working.

Do that, and your data pipelines will keep running reliably, no matter who comes or goes.