Advanced Certificate

Reservoir Simulation Workshop Certification


Who should attend?

  • This course provides an in-depth practical understanding of dynamic reservoir simulation, covering principles of simulation as well as data reviewing and formatting, with an immediate application to a full field development project using real field case data.
Audience :
  • Experienced geoscientists, reservoir engineers, petroleum engineers and production engineers willing to deepen their knowledge and get a practical insight in black-oil dynamic reservoir simulation.

Level : Proficiency

Course Content


      • Introduction to reservoir simulation:
      • Physical aspects & basic laws.
      • Mathematical & numerical aspects (diffusivity, transport & general equations).
      • Types of reservoir simulation models: black oil, compositional, thermal, chemical and double porosity model.
      • Introduction to the simulator (ECLIPSE™):
      • Simulation software presentation.
      • Practical exercise (building a model from A to Z).
      • Space & time discretization:
      • Grid properties (Cartesian grid, radial grid, corner point grid, etc.) & key elements to take into account.
      • Time step management & main events to take into account.
      • Petrophysics:
      • Data review & petrophysical upscaling.
      • Fluids:
      • Data review & formalisms used by the simulator.
      • Use of black oil data set & integration of lab experiments (constant composition expansion, constant volume depletion).
      • Initial state:
      • Data review & formalisms used by the simulator (equilibration regions).
      • Identification of fluids in place per region.
      • Aquifers representation and modeling:
      • Formalisms used by the simulator (gridded or analytical aquifers).
      • Review of different possibilities (bottom, edge, transient, steady state, semi steady state) & Hurst & Van Everdingen tables.
      • Flow representation:
      • Formalisms used by the simulator (transmissivity multipliers, end point scaling of capillary pressures & relative permeability).
      • Identification of production mechanisms & material balance analysis.
      • Wells representation:
      • Formalisms used by the simulator (Inflow Performance & numerical PI, outflow performance & VFP tables).
      • Practical exercise using the simulation software.
      • History match:
      • Objectives & methodology.
      • Production data & identification of data to match.
      • Production mechanisms & identification of matching parameters.
      • History matching strategies (pressure, saturation, early & late times) & uncertainty reduction.
      • Production forecast:
      • Objectives & methodology.
      • Integration of well representation & production constraints.
      • Estimation of future productions linked to different scenarios and identification of remaining uncertainties.
      • Identification of recommended scenario and conclusions.

      • Field case presentation and critical analysis of the dataset:
      • PVT data.
      • Kr-Pc data.
      • Accumulation.
      • Analysis of various production schemes:
      • Natural depletion down to bubble point, below bubble point, down to maintained optimum pressure.
      • Water injection.
      • History matching:
      • Matching field pressure, wells pressure, water-cut and GOR.
      • Select the matching parameters and related range.
      • Decide on the level of acceptability of the history match.
      • Production forecast:
      • Using the selected previously matched dataset, perform a development study.
      • Investigate natural depletion and water injection (and possibly WAG): optimize recovery adding producers, injectors, finding out their optimal location.
      • Recommend an FDP based on relevant economic calculations (NPV, IRR, Profitability Index, etc.).

Learning Objectives

  • Upon completion of the course, participants will be able to:
  • discuss the fundamental concepts of dynamic reservoir simulation,
  • build a simple reservoir simulation model (included data gathering, data QC) from real data set,
  • carry out a simple reservoir simulation study (included basic history matching and production forecast) from a real field case black-oil simulation model,
  • discuss, explain and justify decision making in optimizing a simple field development taking into account uncertainties and economics.

Ways & Means

  • Highly interactive training by industry’s specialist lecturers.
  • Intensive 10-days training alternating courses on black-oil dynamic reservoir simulation using simple and didactic data sets and a teamwork workshop focused on optimizing an oil field development project investigating various production scheme.
  • Software used during workshops: with courtesy of Schlumberger.


  • An international recognition of your competencies.
  • A Advanced Certificate is delivered.
  • An expertise confirmed in Reservoir Simulation Workshop .
  • Ready-to-use skills.