Integrated asset modelling for oil & gas production

nv.AIM connects reservoir, well and gathering-network models in one engineering environment for accurate forecasting and production optimization.

  • Cloud / on-premise
  • Pre-project survey
  • Proof of Concept
  • 24/7 technical support
Integrated model Ready to solve
PVTFluid
MBALReservoir
WELLLift
PIPENetwork
Optimization engineSOLVERConnected system
Reservoir → wells → gathering network
Physics Constraints Decision
40+integrated field models
7,000+wells represented
up to 20%additional production
up to 30%CAPEX / OPEX reduction

Stop optimizing production assets one component at a time.

Reservoir pressure, well performance and surface capacity are interdependent. nv.AIM brings those dependencies into one connected model, so engineers can test decisions against the real limits of the production system.

InputsPhysicsConstraintsDecision

Six modules.
One asset view.

Built by petroleum engineers for integrated field forecasting and optimization.

01PVT

Fluid model

Model oil, gas and water properties under reservoir and surface conditions, calibrated to laboratory data.

02MBAL

Reservoir model

Represent reservoir behavior with material-balance methods and assess its energy state over time.

03WELL

Well model

Model wellbore hydraulics, IPR / VLP behavior and the operating conditions of downhole equipment.

04PIPE

Network model

Simulate gathering, transportation and injection networks with their hydraulic and operating constraints.

05SOLVER

Integration engine

Connect every component model, solve the constrained system and identify the optimal operating point.

06SERVER

Automation layer

Automate model runs, centralize projects and integrate calculations with external systems through open interfaces.

PVTMBALWELLPIPESOLVERSERVER

From engineering model to operating value.

Evaluate operating decisions against the physics and constraints of the complete production system.

01

Better engineering decisions

Compare the impact of a decision across the entire connected production system.

02

Higher-quality planning

Use consistent physics and constraints for forecasts, targets and action plans.

03

Maximum feasible production

Find operating modes that increase output and reduce production shortfalls.

04

Lower capital and operating cost

Evaluate alternatives before committing equipment, energy and field resources.

Engineering depth.
Enterprise reach.

A centralized modelling environment that scales from expert work to automated production workflows.

  • 01Multi-user web workspace
  • 02Central project and model storage
  • 03Optimized computing resources
  • 04Python API to data and calculations
  • 05Open text import / export
  • 06Cloud information backup
  • 07Flexible production-workflow integration

One model for the decisions that shape field performance.

From daily operating modes to long-range development choices.

  1. 01

    Forecast production and build action plans to meet hydrocarbon targets

  2. 02

    Evaluate and refine field development design decisions

  3. 03

    Optimize well and equipment operating conditions within real constraints

  4. 04

    Identify bottlenecks across the reservoir–well–gathering system

  5. 05

    Monitor and reduce wax and hydrate risks in wells and pipelines

  6. 06

    Control pipeline velocity against permissible operating limits

  7. 07

    Select and monitor downhole artificial-lift equipment

  8. 08

    Apply virtual flow metering where direct measurement is limited

  9. 09

    Assess reservoir energy state

  10. 10

    Forecast water cut and gas–oil ratio across the reservoir

  11. 11

    Evaluate water-injection efficiency for pressure maintenance

10+

Years of integrated modelling delivery and support.

Our specialists bring experience from implementations in major oil and gas companies.

Talk to an expert

Find the next feasible production gain.

Schedule an nv.AIM demo

Performance figures are based on implementation experience. Actual outcomes depend on asset conditions, data quality and deployment scope.