INSUS models how each gas-lifted well responds to injection from the asset's own history, and advises how to allocate limited lift gas across the field while respecting compression, separation and handling constraints. Production engineers approve every change.
01
Limited lift gas creates a multi-well production trade-off.
02
Allocate against current well behaviour, not stale design curves.
03
Advisory only. Production engineers approve every injection change.
The problem
Gas lift allocation is established production engineering. The challenge is keeping the inputs current. Well response changes over time, facility constraints move, and design-study curves can become stale long before the next optimisation exercise. Injection is then set cautiously when the expected production effect is uncertain, and the binding constraint may no longer be the one the last study assumed.
The shift
The optimisation objective is familiar. What changes is keeping well-response models current, identifying the constraint that is actually binding, and showing the expected effect of each proposed allocation change before engineers make it.
Today
With INSUS
How it works
This fits OptiStudio as allocation decision support above SCADA and the production historian. Access is read-only. It does not change injection rates. Production engineers approve every recommended change.
Connect
Connect per-well lift-gas injection rates, wellhead and downhole pressures, choke positions, production rates, well-test history, compression availability, gathering conditions and separator constraints.
Understand
Model the relationship between lift-gas injection and production for each well using its own operating history, including how that response changes over time.
Predict
Estimate expected production at different injection rates and identify which shared system constraint would become limiting first, with uncertainty shown around the predicted response.
Advise
Advise injection across the well set while respecting available lift gas, compression capacity, separator limits, produced-gas handling and other relevant production constraints. Engineers decide what to apply.
Verify
Compare actual production after each approved allocation change with the model's prediction. When a well consistently behaves differently, the response curve is recalibrated.
Getting started
For upstream assets where lift-gas supply is constrained and per-well injection is measured. Delivered through OptiStudio as allocation decision support. Expert Services can help with data assessment and validation. Advisory and read-only. Discovery should establish whether an existing workflow already covers this.
Related for upstream
Gas lift allocation sits beside virtual flow metering that keeps rate estimates current, and methane reconciliation on the same production data layer.
Limited lift gas must be shared across wells that respond differently, while design curves and facility constraints go stale. This use case advises allocation against current well response for production engineer review.
Per-well lift-gas injection rates, production and well-test history, wellhead and downhole conditions, and compression, gathering and separator constraints. Header-only injection metering materially reduces value. INSUS does not provide metering hardware.
No. The initial deployment is advisory and read-only. Production engineers review and approve every recommended injection change. Automated control would only be considered as a later, asset-specific maturity stage.
Existing engineering and network models can already optimise gas lift. The differentiation is keeping well-response models current from operating data, showing uncertainty around predicted changes and identifying the constraint that is actually binding. Discovery should establish whether an existing workflow already provides these capabilities.
Through OptiStudio as allocation decision support. Expert Services can support data assessment, integration and validation with your production team.
Each well has a response curve. Increasing injection can improve production up to a point, but excessive injection can reduce production and raise operating requirements. The useful rate therefore differs by well.
The model needs sufficient historical variation in well injection rates to learn response. Reliable per-well injection metering is important. Gas-lift optimisation is an established category, so the case is measurable improvement over the customer's existing workflow, not novelty of the objective.
Upstream · Artificial lift
A back-test on allocation changes you have already made will show whether current well-response models reveal production headroom, and how confidently that headroom can be acted on.
