COURSE OVERVIEW:

Reservoir models are dynamic tools that must evolve as new production data becomes available. This course provides a rigorous technical framework for the continuous cycle of monitoring, interpreting, and updating reservoir models to ensure their predictive accuracy. Participants will explore how various surveillance techniques, ranging from pressure monitoring to advanced tracers, provide the "ground truth" necessary to calibrate numerical simulators through the process of history matching.

The scope of the curriculum covers the integration of time dependent data into the geological and engineering framework. Detailed instruction is provided on the methodologies for history matching, including both manual tuning and automated assisted history matching (AHM) techniques. By understanding the sensitivity of model parameters like permeability multipliers and fault transmissibility, engineers can resolve discrepancies between observed and simulated behavior, leading to a more reliable forecast of future performance.

Coverage also includes the strategic aspects of model updating in the context of field development and EOR implementation. The course highlights the importance of distinguishing between "mathematical curve fitting" and "physically consistent modeling." Through intensive hands on exercises, participants will learn how to close the loop between the field and the office, ensuring that the reservoir model remains a live asset that supports proactive decision making and maximizes recovery.

COURSE OBJECTIVES:

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

• Develop a comprehensive reservoir surveillance and data acquisition plan.
• Utilize production data and pressure trends to identify reservoir drive mechanisms.
• Apply systematic history matching workflows to calibrate dynamic models.
• Differentiate between global and local parameters in the matching process.
• Utilize Assisted History Matching (AHM) software to explore uncertainty.
• Validate the physical consistency of model updates following a match.
• Integrate 4D seismic and well test data into the model updating cycle.
• Analyze the causes of water and gas breakthrough using surveillance data.
• Perform material balance checks to verify the global accuracy of the model.
• Update the geological (static) model based on dynamic performance indicators.
• Forecast future performance with a quantified range of uncertainty.
• Communicate model updates and their impact on asset value to management.
• Implement a continuous loop for real time reservoir management.

TARGET AUDIENCE:

Reservoir Engineers, Simulation Specialists, Production Engineers, and Geoscientists responsible for the long term management and modeling of petroleum assets.

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.