About the Course

Advanced Reservoir Engineering is a comprehensive 5-day program designed for professionals who want to advance from basic concepts to fully integrated reservoir characterization, simulation, history matching, uncertainty analysis, and field development optimization.

Who Should Attend?

Reservoir Engineers
Petroleum Engineers
Geologists & Geophysicists
Petrophysicists
Production Engineers
Well & Reservoir Surveillance Engineers
Drilling Engineers
Field Development Planners
Managers involved in subsurface decision making

What You Will Learn

• Building integrated static-to-dynamic reservoir models
• History matching strategies and uncertainty quantification
• Advanced well testing and transient pressure analysis
• Production diagnostics, decline curve analysis, and PLT interpretation
• IOR/EOR screening and pilot design
• Field development planning under uncertainty
• Integrated technical & economic decision-making

Course  Outline

Day 1 — Reservoir Characterization & Static Modeling

Objective: Build high-resolution static reservoir models integrating geology, petrophysics, and heterogeneity.

Topics Covered:

• Petrophysics (core–log integration, facies interpretation)
• Electrofacies & rock typing approaches
• Geostatistical methods for property modeling
• Upscaling and grid design
• Static model uncertainty quantification

Day 2 — Static to Dynamic Integration & History Matching

Objective: Transform static models into dynamic simulators and perform history matching.

Topics Covered:

• Dynamic simulation grid, wells & boundary conditions
• Fluid model setup and PVT selection
• History matching workflows
• Sensitivity analysis & automated calibration

Day 3 — Well Testing, Transient Flow & Production Analysis

Objective: Diagnose reservoir behavior using well tests and production data.

Topics Covered:

• Advanced pressure transient analysis
• Diagnostic plots & interpretation techniques
• Decline curve analysis (conventional & advanced)
• Production logging interpretation
• Data reconciliation for well & reservoir performance

Day 4 — Enhanced Recovery & Advanced Well Technologies

Objective: Evaluate and design improved & enhanced oil recovery projects and advanced well completions.

Topics Covered:

• EOR screening (thermal, chemical, miscible gas)
• EOR/IOR pilot design & implementation
• Horizontal, multilateral & intelligent wells
• Stimulation & completion design
• Case studies from major global reservoirs

Day 5 — Uncertainty and  Optimization

Objective: Integrate full-course learning to deliver a complete field development strategy.

Topics Covered:

• Monte Carlo uncertainty workflows
• Probabilistic reserves (P10, P50, P90)
• Forecast optimization & development scenarios
• Economic screening & decision-making