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Oil & Gas

Closing the Loop: What Modern Oil & Gas Teams Do Differently

20 January 2024·2 min read

The difference between teams that extract full value from their production operations and those that leave performance on the table often comes down to a single capability: closing the loop between surveillance and action.

The open loop problem

In many production operations, the workflow looks like this:

  1. Data is collected from the field
  2. Engineers review data and identify opportunities
  3. Actions are recommended or decided
  4. Some actions are implemented
  5. Performance is monitored

The gap is between steps 4 and 5. In most operations, there is no systematic mechanism for:

  • Tracking which recommended actions were actually implemented
  • Measuring the outcome of actions that were applied
  • Comparing predicted impact to actual impact
  • Using that information to improve future recommendations

Without this feedback loop, optimisation is a one-way process. Recommendations are made, actions are taken, but learning doesn't accumulate in a structured way. The next round of recommendations is not better for the last.

What closing the loop enables

When the loop is closed — when outcomes are systematically tracked against predictions — several things become possible:

Model improvement — predictions become more accurate as the system learns from outcomes in the specific field

Trust building — engineers can see a track record of predicted vs. actual impact, giving them an evidence base for how much confidence to place in recommendations

Process accountability — teams can see which recommendations were acted on, which were not, and what happened in each case

Performance attribution — production improvements can be attributed to specific actions, making the value of the optimisation process visible

The structural requirement

Closing the loop requires a system that persists across time — tracking recommendations, recording which ones were applied, and measuring outcomes against a counterfactual. This is not something a human team can do reliably at scale without tool support.

Nexgineer™ is designed with this capability built in. Actions are logged, outcomes are tracked, and the platform uses this feedback to improve its recommendations over time.


Learn how Nexgineer™ closes the loop between surveillance and optimisation. Book a demo.

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