Course overview
A reservoir model is a decision tool, not a picture. It exists to answer questions about where the hydrocarbons are, how they will flow, and how confident anyone can be in the forecast. This course shows how such models are built from the ground up, integrating seismic, well-log, and petrophysical data into a static description and then setting it in motion to predict how a field will perform.
The through-line is uncertainty. Reservoirs are heterogeneous, data is sparse, and every modeling choice carries assumptions. Participants learn to build models that are honest about what they do not know, using geostatistics to distribute properties and uncertainty methods to bracket the answers, so that field decisions rest on a range instead of a single deceptively precise number.
Why this matters in field development
Development decisions commit large sums against an imperfect picture of the subsurface, so the quality of the reservoir model directly shapes value. Teams must reconcile seismic attributes for reservoir prediction with well-log interpretation of porosity, permeability, and water saturation, then capture the reservoir heterogeneity and rock typing that control flow. A model that ignores that complexity tends to disappoint once production begins.
Static and dynamic work are now tightly coupled, and models are increasingly living, digital assets that update as new data arrives. The performance side of that story connects directly to reservoir engineering and enhanced recovery techniques, where the same models guide recovery strategy and field management over the life of the asset.
What you will be able to do afterwards
On finishing the course, participants should be able to:
- Characterize reservoir heterogeneity and define rock types.
- Use seismic attributes to inform reservoir property prediction.
- Interpret well logs for porosity, permeability, and water saturation.
- Build static structural and property models constrained by data.
- Apply geostatistics and variograms to distribute properties.
- Set up dynamic reservoir simulation for history matching.
- Quantify uncertainty with Monte Carlo methods for decision-makers.
Course outline
Unit 1: Introduction to reservoir characterization
- Reservoir heterogeneity and rock typing fundamentals.
- Data types and resolution behind characterization.
- Static and dynamic models across the workflow.
- Model objectives and the questions they answer.
Unit 2: Seismic interpretation and structural modeling
- Seismic attributes and well calibration for prediction.
- Horizons and faults in structural interpretation.
- Static structural model and fault network.
- Depth and interpretation uncertainty in geometry.
Unit 3: Petrophysical and geological modeling
- Well-log porosity, permeability, and saturation analysis.
- Static structural and property modeling of the volume.
- Geostatistics and variograms for interwell distribution.
- Upscaling from log to grid without losing heterogeneity.
Unit 4: Reservoir simulation and performance forecasting
- Dynamic reservoir simulation of fluid flow.
- History matching against observed production.
- Production forecasting under development scenarios.
- Critical reading of simulation output.
Unit 5: Integrated reservoir management
- Uncertainty analysis with Monte Carlo methods.
- Integrated field development planning.
- Digital reservoir modeling workflows.
- Guided walkthrough of a documented field-decision case.
How the course is delivered
The course runs as expert-led discussion with worked examples and documented case studies from real fields. Participants follow guided walkthroughs of interpreted datasets and finished static and dynamic models, then join group exercises that trace how modeling choices ripple through to a forecast. The emphasis is on understanding the workflow and its assumptions, not on operating any single modeling package.
Who should attend
The course suits subsurface professionals who build, use, or rely on reservoir models.
- Reservoir and development geologists.
- Reservoir and petroleum engineers.
- Petrophysicists and geophysicists contributing to models.
- Technical leads who review models and development plans.
About EuroQuest International Training
EuroQuest International Training was established in 2015 and has delivered over 1,000 courses to more than 15,000 participants to date. Headquartered in Bratislava, Slovakia, with training hubs in Dubai, London, Barcelona, Istanbul, Vienna, Paris, and Geneva, the organization brings practical technical education to professionals across the energy and geoscience sectors.
Frequently asked questions
Will there be live modeling software or a laboratory session?
No. This is a discussion and case-study based course. Instead of operating modeling or simulation software live, participants examine completed static and dynamic models and interpreted datasets, keeping the focus on the reasoning, geostatistics, and uncertainty handling behind the workflow.
Do I need to be an engineer to benefit?
No. The course is built for a mixed subsurface audience, so geologists, petrophysicists, and engineers all find relevant material. Shared concepts are explained clearly enough that no single specialism is assumed.
How is uncertainty handled in the course?
Uncertainty is a recurring theme, not an afterthought. Participants see how geostatistics, variograms, and Monte Carlo methods are used to express a range of outcomes, and how that range is communicated so field decisions are made with realistic confidence.
Related courses
- Advanced Seismic Interpretation and Exploration Technologies
- Sedimentary Basin Exploration and Hydrocarbon Potential
- Sedimentology and Basin Analysis for Energy Exploration
- Geological Exploration and Resource Assessment
Register for this course
To reserve your place or plan a session for your team, contact EuroQuest International Training and register your interest in this reservoir characterization and modeling course. We will be glad to help with scheduling, group bookings, and any questions about the material.
All Course Dates & Locations
29 dates · 14 cities · Sep 2026 – Jun 2027