COURSE OVERVIEW:

This course provides an in depth and multidisciplinary understanding of how geological, petrophysical, geophysical, and engineering data are integrated to form comprehensive reservoir characterization and geo engineering models. Participants will develop a strong understanding of how subsurface data is synthesized to build coherent geological frameworks, evaluate reservoir quality, estimate hydrocarbons in place, and generate engineering models that support development planning and production forecasting.

The course covers reservoir characterization workflows from data acquisition through interpretation, integration, and model building. Topics include stratigraphic interpretation, rock typing, petrophysical evaluation, seismic attribute analysis, static model construction, dynamic modeling inputs, and production data integration. Participants will also learn how reservoir heterogeneity, structural complexities, fluid dynamics, and uncertainty influence engineering predictions and field development strategies. At the end of the course, participants will be able to apply integrated subsurface techniques to construct accurate geo engineering models for decision making.

COURSE OBJECTIVES:

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

• Understand the workflows involved in integrated reservoir characterization.
• Interpret geological, petrophysical, and geophysical data for subsurface evaluation.
• Identify key reservoir quality indicators and heterogeneity controls.
• Construct stratigraphic frameworks and depositional models.
• Perform petrophysical analysis for reservoir property estimation.
• Integrate seismic attributes into reservoir characterization workflows.
• Build static geological models incorporating facies, structure, and petrophysics.
• Understand the principles of geo engineering modeling for reservoir performance prediction.
• Assess reservoir connectivity, flow units, and rock typing.
• Integrate well testing and production data into reservoir models.
• Identify key uncertainties and perform scenario-based evaluation.
• Prepare static models for dynamic simulation and field development planning.
• Communicate integrated reservoir results for multidisciplinary decision making.
• Apply best practices for model validation, calibration, and quality assurance.

TARGET AUDIENCE:

• Reservoir engineers
• Geoscientists and geologists
• Petrophysicists
• Reservoir modelers and simulation engineers
• Field development planners
• Subsurface and asset evaluation teams
• HSE and technical professionals supporting reservoir studies

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 percent of the total attendance time requirement.