COURSE OVERVIEW:

Reservoir Geomodel Quality Assurance and Uncertainty is a specialized course designed to ensure that 3D static models are not only visually impressive but also technically sound and predictive. A geomodel is a hypothesis of the subsurface, and without rigorous quality assurance (QA), it can lead to multi-million dollar drilling failures. This course focuses on the critical checks required at every stage of the modeling workflow, from data preparation to the final upscaled grid.

The coverage includes the validation of structural frameworks, facies distributions, and petrophysical property populations. Participants will learn how to use statistical tools, such as histograms and variograms, to ensure that the model honors the input data and geological concepts. The scope addresses the "Garbage In, Garbage Out" principle by teaching participants how to identify artifacts, reconcile conflicting data sources, and verify that the model is "dynamically ready" for reservoir simulation.

Furthermore, the course addresses the quantification and management of geological uncertainty. Attendees will explore stochastic modeling techniques and the use of "Multiple Realizations" to capture the range of possible subsurface outcomes. The curriculum emphasizes the importance of sensitivity analysis to identify which geological parameters have the greatest impact on volumes and flow behavior. By the end of the course, participants will be able to audit complex geomodels and provide a clear assessment of the risks associated with the subsurface model.

COURSE OBJECTIVES:

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

• Define the core principles of Quality Assurance (QA) and Quality Control (QC) in geomodelling.
• Implement a step-by-step checklist for auditing 3D static models.
• Validate structural frameworks for topological consistency and "watertightness."
• Ensure facies models honor depositional concepts and conceptual trends.
• Perform statistical QC of petrophysical property populations (Porosity, Permeability).
• Detect and eliminate modeling artifacts and "bullseyes" in property maps.
• Utilize Cross-validation and Blind-test techniques to assess model predictability.
• Understand the difference between Aleatory and Epistemic uncertainty.
• Execute "Multiple Realizations" workflows to quantify volumetric ranges.
• Perform Sensitivity Analysis using Tornado plots to identify key risk drivers.
• Analyze the impact of variogram parameters on spatial connectivity.
• Evaluate the quality of upscaling from high-resolution static grids to dynamic grids.
• Communicate model limitations and uncertainty to reservoir engineers and management.
• Establish a standardized QA/QC protocol for corporate geomodelling projects.

TARGET AUDIENCE:

Geomodellers, Reservoir Geologists, and Reservoir Engineers responsible for building or reviewing 3D subsurface models.

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.