Sampling Fluctuation and Its Effect on Variogram Modelling & Simulation
Abstract/Contents
- Abstract
- Geostatistical simulation attempts at providing representations of spatial variability as modelled from the data. The variogram is the two point statistics used to model this variability. It quantifies the squared difference between pairs of values for different lag distances. In practice variogram modelling is done by evaluating the sample squared differences from the available (experimental) data and approximating the resulting plot with a mathematical model. The mathematical model then defines the variogram for all lags.The problem is, in real life situations, there is never enough data. The experimental variogram plot is noisy, even possibly biased, and the modeling task may be difficult. The effect of data sampling on the variogram is never truly understood, as a comparison to an exhaustive data variogram is not possible. Such study of the effect of data sampling on the variogram and its consequent effect on the simulation of petrophysical properties is the focus of this report.We will see how sample size affects the overall estimate of our variable and how the choice of different variogram rnodels impacts the connectivity in the resulting reservoir model, and hence the recovery estimates.
Description
| Type of resource | text |
|---|---|
| Date created | June 1998 |
Creators/Contributors
| Author | Harihara, Subramani |
|---|---|
| Primary advisor | Journel, Andre G. |
| Degree granting institution | Stanford University, Department of Petroleum Engineering |
Subjects
| Subject | School of Earth Energy & Environmental Sciences |
|---|---|
| Genre | Thesis |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- Harihara, Subramani. (1998). Sampling Fluctuation and Its Effect on Variogram Modelling & Simulation. Stanford Digital Repository. Available at: https://purl.stanford.edu/mj469mb7644
Collection
Master's Theses, Doerr School of Sustainability
View other items in this collection in SearchWorksContact information
- Contact
- brannerlibrary@stanford.edu
Also listed in
Loading usage metrics...