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Oil & Gas

From Ad-Hoc to Routine: Rethinking Production Surveillance and Field Optimisation

18 September 2024·2 min read

The difference between high-performing and average-performing production teams isn't always technical capability. It's often process discipline — specifically, the ability to make optimisation a routine rather than a reaction.

Ad-hoc optimisation and its costs

In many production operations, optimisation happens reactively. A well underperforms noticeably. A pressure alarm fires. An engineer notices something in a trend review. Action is taken, usually effectively — but only after performance has already been lost.

This is ad-hoc optimisation. It is not a failure of expertise; it is a failure of process. The expertise is there. What's missing is a systematic mechanism for identifying and prioritising optimisation opportunities across the field on a regular cadence.

The cost of ad-hoc optimisation compounds over time:

  • Setpoints drift from optimal without triggering visible alarms
  • Low-grade underperformance accumulates undetected
  • Engineer attention is reactive rather than proactive
  • Optimisation effort is distributed by noise rather than value

What routine optimisation looks like

Routine optimisation is a daily process, not an occasional response. It involves:

  1. Systematic screening — every well evaluated against current performance expectations every day
  2. Prioritisation — actions ranked by predicted impact before any engineer time is spent
  3. Structured review — a consistent workflow for evaluating, approving, and applying recommendations
  4. Closed-loop tracking — monitoring the outcome of applied actions to validate predictions

This sounds straightforward. The challenge is that doing it manually — across a field with dozens or hundreds of wells — is impractical at the pace required.

Technology as a process enabler

The role of technology in this transition is not to replace engineer judgement. It is to make routine optimisation tractable at scale.

When a platform can screen every well against field-wide context, rank opportunities by impact, and present a prioritised action list at the start of each shift, routine optimisation becomes achievable regardless of field size.

Nexgineer™ is designed for exactly this — converting what is currently an ad-hoc, reactive process into a structured daily workflow.


Learn how Nexgineer™ supports a routine optimisation workflow. Book a demo.

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