Course Objectives:

This course is designed to provide participants with an in-depth understanding of the application of geostatistics in the field of reservoir characterization. Upon completion, participants will be able to:

• Understand the principles of geostatistics and its significance in reservoir characterization.
• Apply geostatistical methods to analyze and model geological data for more accurate reservoir description.
• Interpret spatial variability in reservoir properties such as porosity, permeability, and fluid saturation.
• Integrate geological, geophysical, and petrophysical data to create reservoir models that improve decision-making in exploration and production.
• Implement geostatistical tools for uncertainty analysis, history matching, and predictive reservoir modeling.
• Use kriging, simulation techniques, and stochastic modeling to enhance reservoir description and resource estimation.
• Understand the limitations and assumptions associated with geostatistical methods in reservoir modeling.
• Gain practical experience in software tools used in geostatistics for reservoir modeling (e.g., Petrel, GOCAD, Geovariances).

Target Audience:

This course is designed for professionals involved in the exploration and production of hydrocarbon resources, including:

• Reservoir Engineers: Engineers who design and optimize reservoir production and recovery strategies.
• Geoscientists: Geologists and geophysicists working on reservoir characterization and modeling.
• Petrophysicists: Experts involved in the analysis of well log data and reservoir rock properties.
• Field Development Engineers: Engineers responsible for developing and managing field development plans based on reservoir data.
• Data Analysts: Specialists involved in analyzing large datasets for reservoir modeling and simulation.
• EOR Specialists: Engineers focused on enhanced oil recovery techniques who need to understand reservoir heterogeneity.
• Geostatistical Modelers: Professionals responsible for building and validating geostatistical models for reservoir characterization.
• Consultants and Project Managers: Those overseeing or advising on reservoir modeling projects.