← All posts
Oil & Gas

From Reactive Problem-Solving to Proactive Optimisation

5 December 2023·3 min read

Most production operations exist somewhere on a spectrum between reactive and proactive. Reactive operations respond to problems after they occur. Proactive operations identify and address opportunities before they become problems — or capture value that would otherwise be left on the table.

The reactive default

Reactive operations are not a failure of intent. They are usually a consequence of scale and bandwidth. When a team is managing dozens or hundreds of wells with limited engineering resource, triage is rational. You respond to what demands attention most urgently.

The problem is that urgent problems are not always the highest-value problems. A well that is underperforming by 5% but not alarming may represent more value than a well that has alarmed but has limited production impact. Reactive workflows systematically underweight the former.

What proactive optimisation requires

The shift from reactive to proactive requires three things:

Visibility at scale — the ability to evaluate every well against current performance expectations, not just the ones that have alarmed. This requires automation; it is not achievable manually across large well fleets.

Prioritisation by value — the ability to rank identified opportunities by predicted production impact, so engineering effort goes where it will do the most good. Alarm severity is a poor proxy for opportunity value.

Structured workflow — a consistent process for reviewing, approving, and applying optimisation actions — one that is fast enough to be completed daily, and structured enough to be auditable.

The compounding benefit

The value of proactive optimisation compounds over time in a way that reactive optimisation does not. Every day that a setpoint remains unoptimised is a day of production that cannot be recovered. Every day that a systematic optimisation process is in place is a day that performance improvement accumulates.

Teams that make the transition from reactive to proactive typically see improvement not just in production performance, but in engineering team capacity. When less time is spent on reactive surveillance, more time is available for analysis, longer-term planning, and higher-value problem-solving.

The technology enabler

The transition from reactive to proactive is enabled, but not created, by technology. The technology needs to be paired with a deliberate shift in workflow and expectations.

Nexgineer™ is designed to support this transition — automating the systematic screening that makes proactive optimisation tractable at scale, and providing the structured workflow that makes it sustainable.


Learn how Nexgineer™ supports the shift to proactive field optimisation. Book a demo.

Want to see how SIG ML applies these ideas in practice?