Reservoir simulation is currently one of the most used and widely accepted reservoir management tools available today. The Reservoir Simulation Model provides the basis for production forecasting, optimization of recovery and the overall management of a reservoir. The utilization of efficient complex models developed with ever increasing processing capability of both PC and UNIX hardware enables our reservoir engineers, geologists and production engineers to use reservoir simulation in both short-term development strategies and operational planning as well as long-term production forecasts.

Reservoir simulation studies are performed to:

  • Assess the geological environment and analyze the reservoir data to determine appropriate Improved Oil Recovery/Enhanced Oil Recovery (IOR/EOR) process to that environment.
  • Establish detailed reservoir and fluid description for simulation and process design.
  • Tuning of the simulation model to match the historical dynamic reservoir performance.
  • Conduct oil recovery prediction studies of different production strategies and recovery scenarios and IOR/EOR processes using analytical methods and numerical simulation.
  • Establish sensitivity of predicted production to the critical geological and reservoir parameters.

Applied Reservoir Technology (ARt)-Simulation Engineers understand the key advantages of implementing an independent, accurate and professional reservoir study. We help leverage your development plan risks and provide economic and operational accountabilities. Our process ensures clear communication of your development objectives, collection of your available data, evaluation of the systems framework and determining the modeling requirements prior to confirming the study plan.

The following list includes the various types of reservoir simulation studies conducted:

  • Reservoir Characterization and Geostatistics
  • Black Oil and Compositional Modeling (Full Field 3D)
  • Fractured Reservoir Modeling
  • Cross-Sectional Field Studies
  • Single-Well Modeling
  • Oil & Gas Deliverability Modeling
  • Optimize Hydrocarbon Production and Recovery
  • Miscible/Immiscible Gas Injection
  • Acid Gas Injection
  • Water-Flooding of Reservoir Modeling
  • Cold-Flow and Thermal Production in Heavy Oil Reservoirs
  • Shallow, tight gas
  • Coalbed Methane
  • Evaluation of Surface and Sub-Surface basin, Field and Reserve Pools

ARt-Simulation Engineers have provided reservoir studies for clients and fields globally undertaking some of the largest and most geologically complex reservoirs in the world. We are committed to the utmost professional standards and ethics for providing accurate, accountable and reliable reservoir modeling and analysis.

Study Phases

Our simulation study is structured and performed in a series of different phases as listed below. The information reported will substantiate the conclusion and recommendations of the reservoir simulation study.

1. Meeting to discuss and review the client study objectives
2. Data gathering (systems infrastructure, modeling software preference, historical     data, reservoir geology/parameters)
3. Review and analysis of reservoir data
4. Geological modeling
5. Simulation model construction
6. History matching of dynamic reservoir data
7. Predictive simulation runs and forecast of pool
8. Reporting of conclusion and recommendations

Reservoir Simulation Model (RSM)

ARt-Simulation Engineers have experience using a variety of state-of-the-art reservoir simulation software and can adapt to meet our client’s needs.

We can provide our studies with a multitude of study softwares such as ECLIPSE™ of Schlumberger, EXODUS of T.T. & Associates, CMG’s IMEX™ and GEM™ and the VIP™ of Landmark.


Reporting is the most important process within a reservoir simulation study. We provide our client with a comprehensive study report of the results and our recommendations. Our philosophy is to leverage our client in development plan risks by providing them with critical and vital information necessary in making sound management decisions.