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) |
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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