Uncertainties & Geostatistics in Reservoir Modeling Workshop
🎯 Course Description: This uncertainty analysis and geostatistics in reservoir modeling course provides participants with both fundamentals and hands-on applications. The program emphasizes how geoscientists can apply uncertainty analysis and geostatistics in reservoir modeling to quantify variability, build realistic property …
Overview
🎯 Course Description:
This uncertainty analysis and geostatistics in reservoir modeling course provides participants with both fundamentals and hands-on applications. The program emphasizes how geoscientists can apply uncertainty analysis and geostatistics in reservoir modeling to quantify variability, build realistic property models, and support better exploration and development decisions.
👥 Who Should Attend:
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Reservoir engineers and geologists
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Geomodellers and petrophysicists
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Exploration & development geoscientists
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Subsurface team leaders and project managers
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Technical staff involved in field development planning
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Professionals working in uncertainty quantification
🧾 Training Format:
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Duration: 5 Days (In-person or Online, Instructor-led)
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Methodology: Lectures, hands-on modeling sessions, group discussions
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Materials: Course slides, modeling workflows, sample datasets
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Software: Demo sessions may use Petrel, RMS, or open-source geostat packages (e.g., SGeMS)
🗓️ 5-Day Detailed Agenda
Day 1: Fundamentals of Uncertainty in Subsurface Modeling
| Time | Topic |
|---|---|
| 09:00 – 09:30 | Course Introduction & Objectives |
| 09:30 – 10:30 | Types and Sources of Uncertainty in Reservoir Models |
| 10:30 – 10:45 | ☕ Coffee Break |
| 10:45 – 12:15 | Geological vs. Petrophysical vs. Dynamic Uncertainty |
| 12:15 – 13:15 | 🍽️ Lunch |
| 13:15 – 14:45 | Introduction to Probabilistic Thinking |
| 14:45 – 15:00 | ☕ Coffee Break |
| 15:00 – 16:30 | Case Studies: Uncertainty Impact in Development Decisions |
Day 2: Introduction to Geostatistics
| Time | Topic |
|---|---|
| 09:00 – 10:30 | Spatial Continuity and Random Variables in 3D Space |
| 10:30 – 10:45 | ☕ Coffee Break |
| 10:45 – 12:15 | Exploratory Data Analysis (EDA): Histograms, Trends |
| 12:15 – 13:15 | 🍽️ Lunch |
| 13:15 – 14:45 | Variogram Theory and Modeling |
| 14:45 – 15:00 | ☕ Coffee Break |
| 15:00 – 16:30 | Practical Variogram Calculation and Fitting |
Day 3: Geostatistical Modeling Techniques
| Time | Topic |
|---|---|
| 09:00 – 10:30 | Deterministic vs. Stochastic Models |
| 10:30 – 10:45 | ☕ Coffee Break |
| 10:45 – 12:15 | Kriging, Co-Kriging and Sequential Gaussian Simulation |
| 12:15 – 13:15 | 🍽️ Lunch |
| 13:15 – 14:45 | Simulation of Lithofacies and Petrophysical Properties |
| 14:45 – 15:00 | ☕ Coffee Break |
| 15:00 – 16:30 | Hands-on Exercise: Simulating Porosity and Permeability |
Day 4: Uncertainty Propagation and Scenario Generation
| Time | Topic |
|---|---|
| 09:00 – 10:30 | Uncertainty Propagation through the Static Model |
| 10:30 – 10:45 | ☕ Coffee Break |
| 10:45 – 12:15 | Scenario-Based Modeling: Low, Mid, High Cases |
| 12:15 – 13:15 | 🍽️ Lunch |
| 13:15 – 14:45 | Using Probabilistic Grids in Reservoir Simulation |
| 14:45 – 15:00 | ☕ Coffee Break |
| 15:00 – 16:30 | Hands-on: Generating Multiple Realizations |
Day 5: Decision Making Under Uncertainty & Integration
| Time | Topic |
|---|---|
| 09:00 – 10:30 | Risk-Based Decision Making and Monte Carlo Methods |
| 10:30 – 10:45 | ☕ Coffee Break |
| 10:45 – 12:15 | Integrating Geological, Petrophysical & Production Data |
| 12:15 – 13:15 | 🍽️ Lunch |
| 13:15 – 14:45 | Group Project: Build and Present Uncertainty Scenarios |
| 14:45 – 15:00 | ☕ Coffee Break |
| 15:00 – 16:30 | Final Review, Q&A, Certificates and Course Feedback |
Target audiences
- Reservoir Engineers, Geologists
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