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Geostatistical Reservoir Modeling for Improved Resource Assessment
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Course Description
1 Lessons
Course overview
Module 1: Introduction to Geostatistics
3 Lessons
Basics of geostatistics
Understanding spatial variability in reservoirs
Applications of geostatistics in resource assessment
Module 2: Data Collection and Analysis
3 Lessons
Data types and sources for geostatistics
Quality control and data preprocessing
Exploratory data analysis techniques
Module 3: Geostatistical Modeling Techniques
3 Lessons
Variogram analysis and interpretation
Kriging: theory methods and applications
Co-kriging and multi-variate geostatistics
Module 4: Geostatistical Software Tools
2 Lessons
Introduction to popular geostatistical software packages
Hands-on exercises with software tools for data analysis and modeling
Module 5: Uncertainty and Risk Analysis in Reservoir Modeling
3 Lessons
Stochastic simulations and uncertainty quantification
Risk analysis and decision-making in resource assessment
Sensitivity analysis and its applications
Module 6: Integration with Reservoir Engineering Disciplines
2 Lessons
Integration of geostatistical models with reservoir simulation
Incorporating geostatistics in reserve estimation techniques
Module 7: Case Studies and Practical Applications
2 Lessons
Real-world case study examples of resource assessment
Hands-on exercises and projects applying geostatistical modeling
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