COURSE OVERVIEW:

Advanced reservoir simulation is a critical discipline for predicting reservoir performance, optimizing field development, evaluating production strategies, and supporting decision-making across the entire reservoir lifecycle. This course provides a comprehensive and technically advanced understanding of numerical simulation techniques, grid construction, fluid-flow modelling, compositional processes, uncertainty quantification, history-matching methodologies, and advanced development optimization.

Participants will learn to build and validate complex simulation models using geological, petrophysical, PVT, SCAL, and production datasets. The course includes detailed workflows for black-oil, compositional, thermal, and unconventional reservoir simulation. Emphasis is placed on diagnosing model behavior, improving numerical stability, integrating dynamic surveillance data, and preparing high-quality simulation models suitable for forecasting, reserves estimation, and enhanced recovery studies. Real case studies from carbonate, sandstone, fractured, and unconventional reservoirs provide practical experience in dealing with real-world reservoir complexities.

COURSE OBJECTIVES:

After completion of the course, the participants will be able to:

• Understand advanced simulation concepts and differentiate between black-oil, compositional, and thermal models.
• Construct reservoir simulation grids with appropriate resolution and upscaling strategies.
• Integrate geological, PVT, SCAL, and production data into dynamic models.
• Apply advanced rock-fluid modelling, including relative permeability, capillary pressure, and hysteresis.
• Use compositional and EOS-based models for volatile oil, gas condensate, and EOR simulations.
• Implement well models, artificial lift, and complex wellbore interactions in simulation.
• Diagnose numerical issues, convergence problems, and simulation instability.
• Conduct uncertainty analysis and multi-scenario forecasting.
• Apply optimization workflows for infill drilling, well placement, and injection strategies.
• Perform assisted and manual history matching using production and pressure data.
• Evaluate field development plans, production strategies, and recovery mechanisms.
• Integrate surveillance data, real-time monitoring, and 4D seismic into dynamic models.
• Prepare robust simulation reports and decision-support material for asset teams.
• Apply simulation best practices to conventional, fractured, tight, and unconventional reservoirs.

TARGET AUDIENCE:

• Reservoir Simulation Engineers
• Reservoir Engineers
• Geoscientists involved in dynamic modelling
• Production and Development Engineers
• Petroleum Engineers
• Asset Managers and Technical Advisors
• Professionals seeking advanced reservoir modelling competence

TRAINING COURSE METHODOLOGY

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximise the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

The course participants shall be evaluated before, during, and at the end of the course.

COURSE CERTIFICATE

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.