5 days RES/GEOMODEL
- Geologists, geophysicists, petrophysicists, reservoir engineers or petroleum engineers involved in integrated reservoir studies.
- This course provides participants with an understanding of all data types needed to build a reservoir model (seismic, geological, petrophysical and dynamic) and a clear understanding of the techniques related to reservoir modeling.
- Upon completion of the course, participants will be able to:
- recognize the techniques and challenges related to reservoir modeling (focus on reservoir properties),
- build required competencies for reservoir geoscientists to analyze a specific dataset and construct a reliable static model,
- apply the workflow for building a reservoir model using dedicated software,
- identify the uncertainties and assess them in order to reduce the risk and optimize the investments.
- No prerequisites for this course.
Ways and means
- Interactive presentations and hands-on activities using software dedicated for reservoir modeling (EasyTrace™ and Petrel™).
Basic principles - Reservoir characterization workflow 0.5 day
- Introduction and objectives.
- Case study: field presentation.
Project organization 0.5 day
- Project definition.
- Data QC and summary table.
- Data management.
- Well data loading.
- Manipulating scripts and Excel™ macros.
Structural modeling 1.5 days
- Structural context.
- Well correlation and stratigraphic data analysis.
- Constraining static model with dynamic data.
- Generating surfaces.
- Picking horizons and faults on seismic.
- Reservoir layering.
- Structural modeling.
- Mapping reservoir structures.
- Modeling results QC.
Rock typing & property modeling 1.5 days
- Scaling up logs - Comparison with rock types.
- Geostatistical tools.
- Facies modeling - Rock typing (EasyTrace™).
- Petrophysical modeling.
- Mapping result for QC: gross thickness, N-t-G, reservoir properties.
Volume calculation 1 day
- Volumetrics: quantification of accumulation for selected parameters.
- Sensitivity study on parameters.
- Key parameters determination for risk assessment.
Summary, synthesis & wrap-up