COURSE OVERVIEW:

Geostatistics for reservoir property modeling is a specialized discipline focused on creating high-resolution 3D distributions of petrophysical variables such as porosity, permeability, and water saturation. This course provides a deep dive into the mathematical algorithms and practical workflows used to populate reservoir grids while honoring geological constraints. Participants will learn how to integrate well-log statistics with spatial continuity models to predict the complex heterogeneities that govern fluid flow. The scope is specifically tailored to the needs of reservoir characterization and field development.

The coverage of this course focuses on the transition from facies-independent modeling to facies-constrained property distribution. Attendees will learn how to use Sequential Gaussian Simulation (SGS) to create equiprobable realizations of porosity and how to use cloud transforms or co-simulation to honor the relationship between porosity and permeability. The curriculum details the use of secondary data, such as seismic impedance or velocity volumes, to guide property distribution in inter-well areas. By applying these techniques, geoscientists can build models that provide more accurate inputs for dynamic flow simulation and volumetric calculations.

Furthermore, the course addresses the critical process of upscaling and the quantification of uncertainty. Participants will explore how to manage "non-stationarity" in reservoir properties and how to model properties in unconventional or highly heterogeneous systems. The training emphasizes the importance of data conditioning and the use of de-clustering techniques to ensure that global statistics are representative of the entire reservoir. By the end of the course, participants will be able to design and execute a robust property modeling workflow that reduces the risk of over-estimating or under-estimating reservoir performance.

COURSE OBJECTIVES:

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

• Define the role of geostatistics in reservoir property characterization.
• Perform advanced data analysis and de-clustering of well-log data.
• Model spatial continuity for porosity and permeability using variograms.
• Apply Sequential Gaussian Simulation (SGS) for property distribution.
• Implement facies-constrained property modeling workflows.
• Utilize Co-simulation to honor porosity-permeability relationships.
• Integrate seismic inversion data as secondary constraints.
• Address non-stationarity and trends in reservoir property models.
• Scale-up petrophysical properties from well logs to reservoir grids.
• Quantify the impact of property uncertainty on fluid flow predictions.
• Validate property models using production data and blind wells.
• Utilize cloud transforms for modeling complex property correlations.
• Develop multi-realization property models for risk assessment.
• Communicate property model confidence to reservoir engineers.

TARGET AUDIENCE:

Reservoir Geologists, Petrophysicists, and Reservoir Engineers involved in building static and dynamic models for field development and optimization.

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.