Conditional curvilinear stochastic simulation using pixel-based algorithms |
| |
| Authors: | Wenlong Xu |
| |
| Institution: | (1) Unocal Corporation, 14141 Southwest Freeway, 77478 Sugar Land, Texas |
| |
| Abstract: | In geology, structures displaying differing local directions of continuity are widespread, a typical example being a flusial depositional system. Conventional pixel-based geostatistical algorithms, may fail to reproduce such curvilinear structures. Conversely, object-based algorithms can reproduce curvilinear shapes but are difficult to condition to dense local data. Local depositional directions as obtained from dipmeter data. 3D seismic data, and geological interpretation represent critical information. An improved pixel-based geostatistical algorithm is proposed to account for such directional information. Case studies demonstrate the potential and limitations of the algorithm. |
| |
| Keywords: | curvilinear simulation varying anisotropy truncated Gaussian simulation |
| 本文献已被 SpringerLink 等数据库收录！ |
|
