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E-389 - Dynamic Reservoir Simulation: Best Practices

  • Reservoir engineers with industrial experience willing to acquire advanced knowledge in dynamic reservoir simulation
  • To enhance practical experience and skills in reservoir simulation through an experiential, hands-on simulation based on a real-field case study
Learning Objectives
  • To deepen understanding of main reservoir simulation issues
  • To improve practical experience in reservoir simulation
  • To acquire best practices through hands-on experience
  • Basic knowledge in dynamic reservoir simulation
Ways and means
  • Basic and advanced reminders in reservoir simulation
  • Intensive hands-on practice using state-of-the-art ECLIPSE reservoir simulator
  • Real-field case study with data review, history matching, and production forecast

  • Basic reminders in reservoir simulation
  • Field presentation
Reservoir model data review
  • Reservoir geometry, geological layering & grid definition
  • Porosity & permeability distributions
  • Fluid properties & SCAL functions
  • Volumes originally in place
  • Aquifer modeling
History match objectives & methodology
  • Review of production / Injection data per well; Identification of data to match
  • Production mechanisms & material balance analysis
  • Identification of matching parameters & uncertainty ranges attached to these parameters
History match for pressure
  • Sensitivity analysis using matching parameters linked to pressure
  • Field Pressure History match
  • Well Pressures History match (including RFT pressures and static pressures)
History match for saturation
  • Sensitivity analysis using matching parameters linked to saturations
  • Field water-cut and GOR history match
  • Wells water-cut and GOR history match (including PLT results)
Production forecast objectives & methodology
  • Integration of production constraints & well performance
  • Launching the do nothing case & checking the continuity between history and forecast
Production forecast (“do nothing” case)
  • Optimization of production guidelines
  • Identification of remaining oil at end of the forecast
Production forecast (new investments)
  • Identification of possible scenarios
  • Implementing corresponding runs and calculation of incremental productions attached to each scenario
  • Identification of remaining uncertainties
  • Identification of recommended scenario and conclusions