Course Overview

Day-by-Day Outline

Day 1 – Structural Framework Building

• Principles of 3D static reservoir modeling
• Fault interpretation and modeling techniques
• Horizon interpretation from seismic and well data
• Building 3D structural frameworks
• Exercise: Create fault and horizon models for a synthetic dataset

Day 2 – Stratigraphic and Grid Modeling

• Stratigraphic layering and correlation techniques
• Building corner-point grids and pillar grids
• Handling complex geometries: unconformities, truncations, onlaps
• Grid quality checks and adjustments
• Workshop: Generate stratigraphic grids for layered reservoirs

Day 3 – Property Modeling Fundamentals

• Data preparation: well logs, core data, seismic attributes
• Facies modeling: object-based and pixel-based approaches
• Porosity and permeability population methods
• Using variograms for property distribution
• Exercise: Populate a 3D grid with petrophysical properties

Day 4 – Advanced Property Modeling and QC

• Conditioning property models to well data
• Co-kriging and external drift with seismic guides
• Net-to-gross and net pay modeling
• Visualizing and validating property distributions
• Workshop: Apply advanced modeling techniques and validate outputs

Day 5 – Preparing Models for Simulation and Integration

• Upscaling 3D models for dynamic simulation
• Exporting model properties to simulators
• Sensitivity and uncertainty analysis with multiple realizations
• Case studies of successful 3D modeling projects
• Capstone Project: Build an integrated 3D static model from structural and property data

Expected Learning Outcomes

• Build accurate structural frameworks with faults and horizons
• Generate stratigraphic and corner-point grids suitable for simulation
• Populate 3D models with facies, porosity, and permeability properties
• Perform quality control and uncertainty assessment of static models
• Prepare 3D models for reservoir simulation to support development planning