Geostatistical Reservoir Modeling: Standard Approach and Best Practices
The course reviews the full spectrum of an integrated reservoir study from core/well log to fluid flow simulator. It addresses the practical requirements and workflows for modern 3D reservoir modeling. Participants learn how to use deterministic and stochastic modeling methodologies to quantitatively integrate diverse data types, model reservoir heterogeneity, assess model uncertainty, and prepare the reservoir model as input to a flow simulator, Particular emphasis is placed on the best modeling practices and data integration methodologies available using geostatistical techniques. The presentation includes an informal, interactive discussion of the agenda topics, illustrated with case studies and including computer workshops.
The objective of this 5-day course is to provide participants who have experience in building reservoir models, with the solid understanding of the underlying geostatistical methodologies used in Applied Reservoir Modeling.
The course provides discussion of the heart of geostatistics that includes data stationarity, spatial relationship (variogram), estimation (kriging and cokriging), and conditional simulation (SIS, TGS, SGS). Additionally, best practices on the workflow for building reservoir model will be presented. To enhance the understanding of the participants about these topics, the exercise for detail analysis and sensitivity, based on actual field data, is provided. All exercises will be done using software.
This course is important for reservoir modelers or for any geoscientist/engineer involved in an integrated reservoir study. It is of particular relevance to reservoir modelers that are interested in getting a better understanding on the “black-box” of geostatistics techniques commonly found during the facies and property modeling process. It will also improve skills in the art of data integration
Course Contents:
• What is Reservoir Modeling?
• Why Reservoir Modeling?
• Reservoir Modeling Workflow
• Model Purpose
• Case study
• Practical Session
Basics software
software Interface
Saving Project
Project Set up
Data Preparation
Import Data
Visualize Data
What is Structural Modeling?
Structural Modeling in E&P Workflow
Challenges
Types of structural modeling
Surface-based modeling
Volume-based modeling (VBM)
Advantages of VBM
Prerequisites for VBM
Case study
Workflow
Extensional Structure
Compressional Structure
Stratigraphy
• Practical Session 2
Structural Modeling
Methods for constructing a 3D Grid
• Rock Modeling
• Model Concept
• Structural and Stratigraphic Framework
• Model Elements
• Determinism and Probability
• Practical Session 3
Velocity model
Depth conversion
Day 4
• What is Geostatistics?
• Why Geostatistics?
• Key Geostatistical Concepts
Variance
Correlation Coefficients
Variograms
Variograms and Anisotropy
• Algorithm Choice and Control
Object modelling
Pixel-based methods
Texture-based methods
• Property Modeling
What is Property modeling?
Geometrical Modeling
Upscale Well logs
Facies Modeling
Petrophysical Modeling
• Practical Session 4
Upscaling
Data Analysis
Property Modeling
WE HAVE TWO OPTIONS: 1 – ONSITE IN EGYPT 2- ONLINE COURSE
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