COURSE OVERVIEW:

Geostatistics and 3D geological modeling provide the mathematical and structural framework for quantifying reservoir heterogeneity and uncertainty. This course focuses on the application of statistical methods to interpolate and simulate geological properties between well locations. Participants will learn how to transition from traditional deterministic mapping to advanced stochastic modeling techniques that capture the spatial variability of the subsurface. The scope covers the entire workflow from exploratory data analysis to the generation of multiple equiprobable reservoir realizations.

The coverage of this course emphasizes the use of the variogram as a tool for describing spatial continuity. Attendees will learn how to perform kriging for "best-estimate" mapping and Sequential Gaussian Simulation (SGS) for assessing uncertainty. The curriculum details the integration of "soft" data—such as seismic attributes—to constrain the distribution of "hard" data from wells. By mastering these geostatistical tools, geoscientists can build 3D models that are not only geologically realistic but also statistically rigorous, providing a solid foundation for volumetric estimation and reservoir simulation.

Furthermore, the course addresses the practical challenges of modeling complex facies and petrophysical distributions. Participants will explore the differences between object-based modeling and cell-based geostatistics. The training also highlights the importance of model validation and the use of "blind-well" tests to ensure predictive accuracy. By the end of the course, participants will be able to construct and audit complex 3D geological models, ensuring that they effectively communicate the range of geological possibilities to reservoir engineers and management.

COURSE OBJECTIVES:

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

• Define the fundamental concepts of geostatistics and spatial variability.
• Perform Exploratory Data Analysis (EDA) on reservoir datasets.
• Calculate and model variograms to describe spatial continuity.
• Distinguish between Kriging and Stochastic Simulation.
• Construct 3D structural frameworks for geological modeling.
• Apply Sequential Indicator Simulation (SIS) for facies modeling.
• Utilize Sequential Gaussian Simulation (SGS) for property distribution.
• Integrate seismic attributes as secondary constraints in modeling.
• Perform upscaling of well logs and geostatistical grids.
• Quantify reservoir uncertainty through multi-realization analysis.
• Validate 3D models using cross-validation and blind wells.
• Analyze the impact of geostatistics on volumetric calculations.
• Evaluate the pros and cons of different modeling algorithms.
• Document and communicate geostatistical model results.

TARGET AUDIENCE:

Geologists, Reservoir Engineers, and Geomodellers who need to master the mathematical and practical aspects of 3D subsurface modeling.

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.