Abstract
The traditional practice of geostatistics for reservoir characterization is limited by the variogram which, as a measure of geological continuity, can capture only two-point statistics. Important curvi-linear geological information beyond the modelling capabilities of the variogram, can be taken from training images and later used in model construction. Training images can provide multiple-point statistics which describe the statistical relation between multiple spatial locations considered jointly. Stochastic reservoir simulation then consists of anchoring the borrowed geo-structures in the form of multiple-point statistics to the actual subsurface well, seismic and production data.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 499-525 |
| Number of pages | 27 |
| Journal | Developments in Petroleum Science |
| Volume | 51 |
| Issue number | C |
| DOIs | |
| State | Published - 2003 |
All Science Journal Classification (ASJC) codes
- Geotechnical Engineering and Engineering Geology
- General Energy
- Geochemistry and Petrology