Flowpro Dynamics
Insight → Technology

Physics engine

From reservoir to surface, with the physics standard simulators miss

Insight is a coupled reservoir-to-surface simulator. Two reservoir solvers, friction-resolved tubing, every major valve type, and a multiphase riser, all solved together. Plus the CFD-grade annulus physics that nothing else captures, validated against Ansys Fluent.

01

Coupled inflow and outflow

Insight runs reservoir, wellbore, valves, and riser as one coupled system. With Auto-couple enabled, a Picard iteration synchronises inflow (reservoir) with outflow (wellbore + valves + riser) at every schedule period, converging on a self-consistent annulus pressure that satisfies both the depletion physics and the lift physics. Productivity index updates period-to-period from observed drawdown. No manual hand-off between tools.

  • -Single coupled solve from reservoir rock to wellhead
  • -Picard iteration at every schedule period for self-consistency
  • -Productivity index updates dynamically from observed drawdown
  • -Multi-period schedules model the full life of the well
02

Two reservoir solvers, your choice of fidelity

Insight ships with two reservoir solvers, selectable per case. The analytical zonal solver builds an influence matrix in Laplace space and inverts to time, fast enough for batch sweeps and screening, rigorous enough that zones interact correctly through the reservoir. The numerical 3D finite-difference solver uses graded-cell grids and supports stochastic permeability fields for full heterogeneity studies. Same rock, fluid, and completion inputs feed either solver.

  • -Analytical zonal solver, fast enough for batch screening sweeps
  • -3D finite-difference solver with graded-cell grids
  • -Stochastic permeability fields for heterogeneity studies
  • -Shared rock, fluid, and completion inputs across both solvers
03

CFD-based annulus simulation

Insight solves the full Navier-Stokes equations in the annulus between the sand screen and the formation wall. This is the space where fluids from the reservoir mix, separate under gravity, and flow laterally towards inflow control devices. Standard reservoir simulators treat this space as a single node, Insight resolves the detailed 3D flow field.

  • -Full 3D computational fluid dynamics in the annular gap
  • -Gravity, friction, and inertial forces resolved simultaneously
  • -Multi-phase flow with oil, water, and gas interactions
  • -Captures recirculation zones and stagnation regions between devices
04

Phase segregation modelling

In horizontal and deviated wells, gravity separates oil, water, and gas in the annulus. Water tends to the low side, gas to the high side, and oil distributes between them. This segregation determines which fluid phase reaches each inflow control device, and therefore how the device performs. Insight models this segregation explicitly, accounting for well inclination, flow rate, fluid densities, and completion geometry.

  • -Gravity-driven oil-water-gas stratification in the annulus
  • -Sensitive to well inclination, even small deviations matter
  • -Accounts for fluid properties: density, viscosity, surface tension
  • -Shows how segregation pattern changes along the wellbore length
05

Valve interaction dynamics

Inflow control devices do not operate in isolation. The flow restriction created by one device changes the pressure field in the annulus, which affects the flow arriving at neighbouring devices. Autonomous devices, AICDs and AICVs, respond to the fluid phase they see, which is itself determined by the segregation pattern shaped by upstream devices. Insight captures this coupled behaviour.

  • -Device-to-device coupling through the annulus pressure field
  • -Autonomous valve response depends on local fluid composition
  • -Upstream devices influence downstream segregation patterns
  • -Critical for predicting real-world AICD/AICV field performance
06

Upscaling methodology

Running full CFD on an entire wellbore with hundreds of completion joints would take days of computation. Insight solves this with a rigorous upscaling method: detailed CFD simulations are run at the device level, finer than a single joint, then the results are systematically upscaled to represent the full wellbore in a reservoir simulator. The upscaled model preserves the physics of annulus segregation and valve interaction while running 3,000,000 times faster than equivalent commercial CFD.

  • -Device-level CFD captures local flow physics at high resolution
  • -Systematic upscaling preserves annulus segregation effects
  • -Generates connection factors and valve tables for reservoir simulators
  • -3,000,000x computational speedup vs commercial CFD (Ansys Fluent)
07

CFD-based physics vs legacy mixed-flow simulation

The legacy approach to completion simulation combines steady-state pipe-network wellbore solvers with mixed-flow assumptions at every junction. The annulus is reduced to a one-dimensional pipe and phases are assumed to mix instantly, which collapses the 3D segregated phase field into a bulk average. Every AICD response curve and AICV shut-off threshold is evaluated on the wrong inlet fluid. Studies built on mixed-flow simulation routinely predict water and gas control that the physical completion cannot deliver. Insight replaces the mixing assumption with CFD at the device scale, validated against Ansys Fluent, and preserves that physics all the way through to the reservoir simulator export.

  • -Resolves 3D velocity and phase fields in the annulus, not a 1D mixed pipe
  • -No complete-mixing assumption at junctions
  • -Phase-dependent device response evaluated on real segregated inlet
  • -Validated against full commercial CFD, not against other approximations

Validation

Validated against Ansys Fluent

The upscaling methodology in Insight has been independently validated against Ansys Fluent, the industry benchmark for commercial CFD. Results were published in SPE-225617-MS at the SPE Europe Energy Conference in Vienna, June 2025, co-authored with Aker BP and Quickersim.

The validation demonstrates that Insight reproduces the flow physics of annulus phase segregation with accuracy comparable to full-resolution CFD, while running millions of times faster. The paper shows that ignoring these effects can lead to significant production forecast errors for AICD and AICV completions.

Key finding from SPE-225617-MS

Annulus phase segregation and valve interaction cause large simulation errors when unaccounted for. The novel CFD-based modelling workflow in Insight captures these effects and produces results consistent with Ansys Fluent.

Download SPE-225617-MS (PDF)
Flowpro Insight full dashboard showing wellbore cross-section, phase fractions, flowrates, pressures, and valve performance

By the numbers

Engineering-grade speed, CFD-grade accuracy

3,000,000x

Faster than standard CFD

Compared to equivalent Ansys Fluent simulation

2

Reservoir solvers

Analytical zonal and 3D finite-difference

4

Multiphase correlations

Flowpro MPF v7, OLGA-S, Beggs & Brill, Xiao

30+

Years of ICD research

Continuous development since the 1992 patent

7

SPE/ASME publications

Peer-reviewed papers and one European patent

Learn more

Read the full methodology

The complete technical details are published in SPE-225617-MS and our earlier papers spanning three decades of inflow control research.

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