Integrated Reservoir Modeling

Course Description

This outcrop-based course provides participants with an overview of the integrated reservoir modeling process, tools and tasks. The data set is from a Tertiary carbonate reservoir. It exposes participants to hands-on integrated reservoir modeling. A conceptual reservoir model and a digital reservoir model are constructed on paper and digitally. Common sedimentological techniques such as section logging, gamma ray measurements and interpretation of aspect ratios from photo panels and maps will be demonstrated and practiced. All data required to build models are actual industry data. The uncertainty of all data sets is assessed. Alternative models are constructed. QC of data versus interpretation is an integral part of the course. A strong emphasis is put on stratigraphic correlation framework and structural model building. Property modeling and volumetrics are carried out interactively as a team exercise. Team interaction is a fundamental component of this course.

Course Objectives

Upon completion of the course, participants will be familiar with: • Reservoir modeling workflow; • Structural model building; • Construction of a stratigraphic framework; • Acquisition and modeling of reservoir body dimensions on a regional and local scale; • Acquisition, measurement and application of petrophysical properties; • Integration of data at different scales: thin sections, cores, outcrop panels, petrophysical data and regional geological information depositional system of Tertiary age; • Well exposed and exceptionally well-studied on a local and a regional scale.

Course Outline

• Introduction • Review of statistical analysis and probability • Part 1: Sources of uncertainty in geophysics and reservoir modeling • Part 2: Modeling uncertainty in seismic reservoir characterization • Part 3: Geostatistics and spatial uncertainty • Part 4: Uncertainty and data integration • Part 5: Structural uncertainty • Part 6: Uncertainty in reservoir dynamic modeling • Part 7: Visualizing uncertainty • Part 8: Value of Information and decision making

Participants’ Profile

The course is designed for geologists, geophysicists, engineers, petrophysicists or others involved in reservoir modeling.


Participants should have knowledge of geology and petrophysics. Students are expected to have a clear understanding of how to use Petrel software as well as some comprehension of the principles of geology and log analysis.

Recommended Reading

Participants are recommended to read before attending the course Kerans and Tinker (1997), SEPM Short Course Note 40.

About the Instructor

Prof. Dr Michael C. Poppelreiter, Director of the South East Asian Carbonate Research Lab (SEACaRL), Shell Chair in Petroleum Geology at the Department of Geosciences, Universiti Teknologi PETRONAS (UTP). From October 2019 he has been working for Shell Kuwait. Area of expertise: Shell Subject Matter Expert for carbonate geology, Outcrop and Regional Geological Studies (focus Middle East), Conceptual Modelling, Reservoir Modelling and 3D Digital Modelling, Project management, CO2 in carbonate, Technical Assurance & Capability (TA-2), 25 publications and 2 books on borehole image logs and reservoir geology.