Basic Concepts of Oil & Gas Geostatistics
Learn the basic concepts and methods underlying the use of geostatistics for Oil & Gas
The course objective is to present the basic concepts and methods underlying the use of geostatistics for Oil & Gas in general.
These two days may be complemented by one or two of the 3-day modules that delves into some of the most advanced geostatistical techniques, giving hints and pitfalls on how to use them: “Advanced Geostatistics for Geophysicists” and/or “Advanced Geostatistics for Reservoir Characterization“.
The course presents the theoretical background of geostatistics. The main tools are introduced and their use in geological modeling is detailed. At the end of the training, participants will be able to:
- Understand the main assumptions of classical geostatistical algorithms, with their pros and cons,
- Attend courses dedicated to advanced geostatistical topics.
Who should attend
Any geoscientist or reservoir engineer involved in the building or use of geomodels.
No prior knowledge about geostatistics is required.
- General overview of geostatistics for Oil & Gas applications:
- Reminders about basic probability and statistics: distributions, mean, variance, correlation coefficient, linear regression, Monte-Carlo simulations.
- Importance of data sampling, model resolution scales.
- The basic tool of geostatistics: quantifying spatial correlation with the variogram.
- Model fitting, classical variogram models.
- Interpolation of data: kriging theory. 2D-3D examples.
- Multivariate geostatistical framework for regionalized variables (model of coregionalization) and collocated cokriging. Application to property mapping.
- Non stationary geostatistics and trend modelling: trends and residuals, kriging with external drift. Application to depth conversion and setup of the structural model.