Field Optimisation: Coordinating Inflow, Lift & Network Performance
Effective field optimisation isn't just about individual well performance. It's about understanding how inflow, artificial lift, and network constraints interact — and making decisions that account for all three simultaneously.
The three-layer problem
Most production surveillance focuses on individual wells. Engineers review well cards, check gauge data, and make setpoint changes one well at a time. This works at small scale. As fields grow, it creates a fundamental problem: decisions made on one well affect the performance of others.
The three performance domains that interact most critically are:
- Inflow performance — the relationship between bottomhole pressure and production rate for each well
- Lift system performance — how the artificial lift mechanism (gas lift, ESP, rod pump) is responding to current conditions
- Network performance — how the gathering system, manifolds, and surface facilities are constraining or enabling production
When these three interact, optimisation decisions become genuinely complex. A setpoint change on one gas lift well can affect backpressure on adjacent wells. An ESP operating near the top of its range can be destabilised by a change in manifold pressure caused by a well elsewhere in the network.
Why manual workflows fall short
The challenge isn't that production engineers lack expertise — it's that the volume of interactions across a field with dozens or hundreds of wells exceeds what any manual process can handle reliably.
Manual surveillance typically results in:
- Optimisation effort concentrated on high-priority or recently flagged wells
- Network interactions discovered after the fact, when production has already been affected
- Setpoint changes made without visibility of downstream consequences
What coordinated optimisation looks like
A coordinated approach evaluates inflow, lift, and network performance together — identifying the optimisation actions that will improve field-wide performance rather than just individual well metrics.
This requires connecting real-time data from historians, SCADA systems, and surveillance tools into a common model of the field, and evaluating actions at the field level before applying them at the well level.
Nexgineer™ is built specifically for this type of coordinated optimisation. It screens every well against field-wide context, ranks actions by predicted impact, and allows production teams to review and apply optimisation decisions with confidence.
Interested in how Nexgineer™ coordinates optimisation across inflow, lift, and network performance? Book a demo.
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