Vertical Stacking Statistics of Multi-facies Object-Based Models

Area of Science:

• Geology
• Stratigraphy
• Sedimentology

Background:

• Object-based geological models are crucial for understanding subsurface heterogeneity.
• Accurate modeling of facies proportions and amalgamation is essential for reservoir characterization.
• Existing models often lack independent control over facies stacking and amalgamation.

Purpose of the Study:

• To derive equations for facies proportions and amalgamation ratios in multi-facies object-based models.
• To provide an analytical basis for applying compression algorithms to these models.
• To enable the generation of models with realistic, independently defined facies stacking characteristics.

Main Methods:

• Derivation of equations based on volume fractions and object thicknesses of independent facies models.
• Validation using one-dimensional continuum models.
• Application and illustration using two-dimensional cross-sectional models.

Main Results:

• Equations for facies proportions and amalgamation ratios were successfully derived.
• A simple relationship was found between effective facies proportion and effective amalgamation ratio.
• The derived relationship supports the application of compression algorithms to multi-facies object-based models.

Conclusions:

• The study provides a robust analytical framework for multi-facies object-based geological modeling.
• The findings facilitate the creation of more realistic subsurface models with controlled facies architecture.
• This approach enhances the predictive power of geological models in reservoir engineering and exploration.