COURSE OVERVIEW:

Static to dynamic model integration represents the critical transition in reservoir management where geological descriptions are converted into predictive flow simulations. This process involves bridging the gap between the high-resolution, time-invariant structural and stratigraphic framework and the time-dependent fluid flow equations used to forecast production. This course explores the workflows required to ensure that the static geological model honors all available data while remaining computationally efficient for dynamic simulation purposes.

The scope of this course details the technical challenges of upscaling petrophysical properties from the fine-scale geological grid to the coarser simulation grid. Participants will learn how to preserve the heterogeneity of the reservoir, such as permeability barriers and high-flow conduits, during the transfer of data between modeling software. The curriculum emphasizes the iterative nature of model integration, where production history and pressure data are used to calibrate and refine the initial geological assumptions, leading to a robust "history-matched" model.

Coverage includes the integration of 4D seismic, well tests, and tracer data into the reservoir characterization process. The course demonstrates how to manage structural uncertainties, such as fault transmissibility and fracture connectivity, within the dynamic environment. By mastering these integration techniques, asset teams can create more reliable development plans, optimize well placement, and maximize recovery factors through a deeper understanding of the dynamic behavior of the subsurface system.

COURSE OBJECTIVES:

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

• Explain the fundamental differences between static geological models and dynamic flow simulations.
• Construct a geologically consistent structural and stratigraphic framework for modeling.
• Apply upscaling techniques for porosity and permeability while preserving reservoir heterogeneity.
• Utilize well test data to calibrate static permeability distributions.
• Integrate pressure and production data into the geological refinement process.
• Evaluate fault seal integrity and transmissibility in a dynamic flow environment.
• Implement dual-porosity and dual-permeability models for naturally fractured reservoirs.
• Perform history matching to validate the reliability of the integrated model.
• Assess the impact of various upscaling algorithms on fluid flow results.
• Incorporate 4D seismic observations into the dynamic model update workflow.
• Quantify the uncertainty of production forecasts through multiple model realizations.
• Design a data acquisition program to support long-term model calibration.
• Formulate a comprehensive reservoir development strategy based on integrated modeling.

TARGET AUDIENCE:

Reservoir Engineers, Geomodellers, Production Geologists, and Asset Team Leaders involved in field development and reservoir management.

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.