Static 3D Modeling of Naturally-Fractured Reservoirs
Objectives:
- Understand the fundamental theory and geological characteristics of naturally fractured reservoirs.
- Identify and evaluate fractures using logs, cores, seismic, FMI, and production data.
- Apply essential fracture parameters (orientation, density, aperture, length) for static modeling.
- Build both continuum and discrete fracture network (DFN) models using well and seismic data.
- Integrate tectonic stress, fault systems, and seismic attributes into fracture modeling workflows.
- Perform fracture property scale-up (porosity, permeability) from DFN to simulation grid.
- Conduct volumetric estimation in fractured reservoirs and assess uncertainty.
- Validate and classify fracture models for hydrocarbon volume assessment and reservoir management.
Course Info
Discipline
Geomodelling Course/Petroleum Geomodelling
Duration
3 days
Level
Advanced
Delivery Mechanism
Classroom + Field Trip
Schedule
Agenda
Day 1
Fundamentals of Fractured Reservoirs & Geostatistics
- Introduction
- Course overview and objectives
- Introduction to geomodeling & geostatistics
- Spatial heterogeneity and stationarity concepts
- Estimation methods for unsampled locations
- Naturally-Fractured Reservoir Basics
- Geological characteristics and global examples
- Subsurface fracture identification methods (logs, cores, seismic, etc.)
- Essential Parameters
- Orientation, aperture, density-intensity, length
- Estimating fracture porosity & permeability
- Case Study / Group Exercise
- Identifying fracture parameters from sample well dataset
- Identifying fracture parameters from sample well dataset
Day 2
Well Data & Fracture Analysis
- Fracture Classification
- Conductive vs non-conductive fractures
- Classification based on hydrocarbon volume
- Well Testing Analysis of Fractured Reservoirs
- Fracture Analysis at Wells
- Logs, FMI, cores, production indicators
- Rose diagrams (dip/azimuth)
- Estimating fracture density (P10–P32) and upscaling
- Practical Exercise
- Hands-on interpretation of FMI and well log fracture data
- Hands-on interpretation of FMI and well log fracture data
Day 3
3D Fracture & DFN Modeling
- 3D Fracture Density Modeling
- Correlation with seismic attributes (impedance, curvature, SPI, etc.)
- Resampling and selection of 3D seismic attributes
- Fracture density modeling using seismic-guided approaches
- Tectonic & Structural Controls
- Fault model integration
- Far-field stress and tectonic modeling
- Stochastic DFN Modeling
- Inputting fracture distributions, geometry, aperture
- Iteration with reservoir engineering data
- Workshop
- Building a simple DFN model
Day 4
Scale-up, Volumetrics, and Model Validation
- Property Modeling from DFN
- Scale-up of fracture porosity and permeability
- Adjustment to dynamic data (history matching)
- Mapping average fracture properties
- Volumetric Estimation
- Sw calculation in fractured vs matrix system
- Hydrocarbon volume estimation in fracture reservoirs
- Uncertainty and validation of fracture models
- Model Validation & Integration
- Classification of models based on hydrocarbon volume impact
- Discussion on practical workflows for real projects
- Model Validation & Integration
- Classification of models based on hydrocarbon volume impact
- Discussion on practical workflows for real projects
- Final Workshop / Case Study
- End-to-end workflow exercise (fracture identification → DFN → scale-up → volumetric)
- Course Review & Q/A
Audience
Lorem
Instructor
Lorem
Lorem
Online (for Public)
Start Date:
9 Februari 2026
End Date:
13 Februari 2026
Price
1800 USD/person