This course provides an integrated and in-depth treatment of modern reservoir engineering and management, linking classical engineering principles with advanced characterization, numerical simulation, data integration, and statistical analysis. Participants will review foundational concepts such as volumetrics, material balance, recovery mechanisms, and well performance, then extend these into multi-well, full-field studies supported by dynamic simulation and data-driven workflows.

The course focuses on how to build and update a coherent reservoir description from multiple disciplines, including geology, petrophysics, geophysics, production data, and surveillance, and how to translate this description into robust forecasts, development plans, and reservoir management strategies. Participants will learn how to use decline analysis, rate transient analysis, and pressure transient analysis, how to construct and use tank and full field simulation models, and how to apply statistics and uncertainty management to support decisions on infill drilling, workovers, and enhanced recovery schemes.

Realistic examples and case studies from different reservoir types (clastic and carbonate, oil and gas, conventional and tight) are used throughout to illustrate best practices, typical pitfalls, and how to balance technical rigor with practical constraints. By the end of the course, participants will be equipped to contribute effectively to integrated reservoir studies, to challenge assumptions, and to support asset teams in achieving production and recovery targets.

COURSE OBJECTIVES:

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

• Explain the role of reservoir engineering within the integrated field development and reservoir management process.
• Describe the main reservoir drive mechanisms and their impact on pressure behavior, production performance, and recovery factor.
• Apply volumetric methods to estimate hydrocarbons in place and to frame recovery expectations and development options.
• Use material balance concepts and plots to assess original hydrocarbons in place, drive mechanism, and reservoir performance.
• Interpret production trends using decline curve analysis and understand the limitations and correct application of different decline models.
• Apply basic rate transient analysis concepts to understand flow regimes and estimate key reservoir parameters from production data.
• Interpret pressure transient data from well testing to quantify permeability, skin, boundaries, and well deliverability.
• Understand the workflow for building static reservoir descriptions and how key petrophysical and geological inputs affect dynamic performance.
• Construct and use simple tank models and more detailed numerical reservoir simulation models to forecast production and test development scenarios.
• Integrate geological, petrophysical, production, and surveillance data into coherent reservoir models and management strategies.
• Apply basic statistical and probabilistic techniques to handle uncertainty in reservoir parameters and forecast ranges.
• Define and monitor key performance indicators for reservoir management, including recovery factors, sweep efficiency, and well productivity.
• Design practical surveillance and data acquisition programs to support reservoir management and model updating.
• Participate effectively in integrated reservoir studies, challenge assumptions, and contribute to balanced, risk-informed development and optimization decisions.

TARGET AUDIENCE:

• Reservoir engineers and reservoir engineering technologists
• Petroleum engineers are involved in field development and production optimization
• Geoscientists participating in integrated reservoir characterization and modeling
• Production and planning engineers who use reservoir forecasts for facilities and business planning
• Asset team members and subsurface coordinators are in charge of reservoir management strategies
• Technical managers and team leaders who review reservoir engineering work and approve development plans

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 but 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 through PowerPoint equipped with necessary animation, learning videos, and general discussions will be provided.

The course participants shall be evaluated before, during, and after the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants who complete at least 80% of the total attendance time requirement.