Every tool a completion engineer needs

Model the physics that standard reservoir simulators cannot. Insight simulates gravity-driven phase segregation in the annulus, how oil, water, and gas separate between the sand screen and the formation as they flow towards inflow control devices. This is the phenomenon that makes AICD and AICV performance highly sensitive to completion geometry.

• -CFD-based annulus flow simulation with gravity and friction
• -Captures oil-water and gas-liquid stratification between devices
• -Shows how segregation changes with flow rate, inclination, and fluid properties
• -Critical for accurate AICD/AICV completion design

Let Insight determine optimal device positions along the wellbore. The optimiser evaluates reservoir heterogeneity, permeability distribution, and well trajectory to recommend ICD/AICD placement that maximises oil recovery and delays water breakthrough.

• -Automatic device spacing based on reservoir properties
• -Optimises for maximum oil recovery or minimum water cut
• -Supports mixed completions, ICD, AICD, AICV, and blank pipe zones
• -Compare optimised vs uniform placement with side-by-side results

Compare different inflow control technologies on the same well in a single study. Run the same reservoir conditions and well trajectory with spiral ICDs, nozzle ICDs, FD-AICDs, RCP-AICDs, AICVs, or any combination, and see how each technology performs over the production life of the well.

• -Side-by-side comparison of ICD, AICD, AICV, and ICV technologies
• -Full device library with manufacturer-specific valve characteristics
• -Custom valve curves from CFD data or manufacturer data sheets
• -Decision-ready output for completion technology selection

Generate production profiles that account for inflow control device behaviour, annulus flow dynamics, and reservoir drive. Forecast oil, water, and gas rates over the well life, and see how different completion designs affect recovery factor, water cut evolution, and gas-oil ratio.

• -Time-stepped production profiles with ICD/AICD effects
• -Water cut and GOR evolution with completion-aware physics
• -Cumulative production and recovery factor comparison
• -Export production curves for economic evaluation

Start at the smallest scale and build up. Analyse a single joint of screen-and-device to understand local flow behaviour and device performance. Then scale to the full wellbore, hundreds of joints, multiple completion zones, and full reservoir coupling, using the same physics throughout.

• -Single-joint CFD analysis for detailed device characterisation
• -Automatic upscaling from joint-level to full-well completion models
• -Consistent physics at every scale, no approximation gaps
• -3,000,000x faster than running full CFD on the entire wellbore

A new analytical workflow being integrated into Insight. IQL couples reservoir, completion, and tubing-to-surface in a single fast-solving model, so completion engineers can evaluate dozens of advanced completion concepts in the time it takes to build a single 3D simulation model. Engineers see the true surface deliverability of each concept, not an idealised sand face rate, which is essential when screening completions whose benefits only appear once backpressure, breakthrough, and lift constraints are honoured.

• -Coupled reservoir, completion, and tubing-to-surface model for true surface deliverability
• -Variable k·h description along the wellbore captures along-hole heterogeneity without a full grid
• -Rank passive vs. active inflow control, test nozzle sizing, compare SAS vs. cased-and-perforated vs. frac-pack
• -Bracket the value of additional laterals or longer reach before any grid cell is built
• -Shortens the concept-select loop: only the strongest options carry forward into full 3D simulation

A new tracer analysis module built into Insight Ultra, co-developed with Aker BP. First-principles Fickian release physics from polymer tracer rods, phase-selective release with wetting and dormancy logic, and multiphase transport coupled to the transient annulus segregation model at the core of Ultra. The result is a virtual chemical PLT, a simulated shut-in and restart that produces the same concentration-time response measured at the wellhead, so completion design can be tied back to actual field data.

• -Virtual chemical PLT: simulate shut-in and restart to predict tracer arrival, peak, and decline at the wellhead
• -Zone-by-zone production allocation via history-matching against measured tracer data
• -Phase-selective release for oil, water, and gas tracers with wetting-fraction dynamics
• -Unique coupling to annulus phase segregation, the physics industry-standard simulators cannot resolve
• -Validates AICD and AICV completion design against real production behaviour