Autonomous inflow control valve
AICV simulation for oil well completions
AICVs (Autonomous Inflow Control Valves) self-regulate to shut out water or gas while passing oil. Predicting their behaviour in a real horizontal well requires resolving the annulus flow and segregation pattern that determines which phase each valve actually sees. Flowpro Insight does that at reservoir simulator speed.
What Insight does for AICV studies
AICV simulation workflows
A-ICV completion design
Simulate Autonomous Inflow Control Valve performance across production life. Insight resolves the annulus flow field arriving at each valve, so you can predict when and how the device chokes on water or gas breakthrough.
Water and gas shut-off prediction
AICVs are built for self-regulating water and gas management. Insight predicts the shut-off threshold for each valve in the context of your specific reservoir and well trajectory, not a generic curve.
Compare AICV against AICD and passive ICD
Head-to-head comparison on the same well, same reservoir, same trajectory. Quantify the incremental value of autonomous over passive inflow control, and of AICV over AICD, before specifying hardware.
Field validation via chemical tracer
Use tracer analysis to match simulated AICV response against measured zonal production. Close the loop between design-stage simulation and producing-well behaviour to refine the next completion.
Why it matters
The physics that makes AICV simulation hard
An AICV chokes when it senses the wrong phase. That sensing depends entirely on what arrives at the valve inlet, which in a horizontal well is controlled by annulus phase segregation. Over the hundreds of metres between production packers, gravity has plenty of room to fully separate oil, water, and gas. Two AICVs on the same joint but different sides of the pipe can see entirely different fluids.
A reservoir simulator that collapses the annulus into a single node cannot capture this. Neither can the legacy mixed-flow simulation approach still in use across the industry: steady-state wellbore network solvers resolve pressure along the completion but assume complete mixing at each junction and treat the annulus as a one-dimensional pipe. Every AICV shut-off threshold gets evaluated on an averaged fluid that does not exist in the real well. The predicted water and gas control looks adequate in the study and disappoints in the field.
Insight resolves the annulus flow field with CFD at the single-joint scale, upscales the result to the full completion, and produces a valve model that behaves in the reservoir simulator the way the physical device behaves in the well.
Read more on annulus phase segregation →FAQ
Frequently asked questions
How does an AICV differ from an AICD?
An AICD restricts flow based on fluid properties (viscosity, or density in the newer families) but does not fully shut off. An AICV (Autonomous Inflow Control Valve) goes further: it can effectively close when it detects unwanted phase, then reopen when conditions change. This makes AICVs particularly effective for water or gas shut-off in mature horizontal wells.
Can a reservoir simulator predict AICV performance accurately?
Not without help. AICV response depends on the local fluid composition in the annulus, which depends on phase segregation driven by well geometry, flow rate, and fluid densities. Standard reservoir simulators have no mechanism to resolve this. Insight runs CFD at the single-joint scale, captures the segregation, and exports a valve response model the reservoir simulator can evaluate.
Which AICV variants does Insight support?
Insight models the A-ICV family and custom valve characteristics imported from manufacturer data sheets or dedicated CFD studies. The upscaling framework is agnostic to the specific valve curve and can handle hybrid completions that mix AICVs with ICDs, AICDs, or passive sections.