Articles | Volume 22, issue 12
https://doi.org/10.5194/hess-22-6547-2018
https://doi.org/10.5194/hess-22-6547-2018
Research article
 | 
20 Dec 2018
Research article |  | 20 Dec 2018

Locality-based 3-D multiple-point statistics reconstruction using 2-D geological cross sections

Qiyu Chen, Gregoire Mariethoz, Gang Liu, Alessandro Comunian, and Xiaogang Ma

Viewed

Total article views: 5,143 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,612 1,445 86 5,143 117 138
  • HTML: 3,612
  • PDF: 1,445
  • XML: 86
  • Total: 5,143
  • BibTeX: 117
  • EndNote: 138
Views and downloads (calculated since 14 Jun 2018)
Cumulative views and downloads (calculated since 14 Jun 2018)

Viewed (geographical distribution)

Total article views: 5,143 (including HTML, PDF, and XML) Thereof 4,587 with geography defined and 556 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Nov 2025
Download
Short summary
One of the critical issues in MPS simulation is the difficulty in obtaining a credible 3-D training image. We propose an MPS-based 3-D reconstruction method on the basis of 2-D cross sections, making 3-D training images unnecessary. The main advantages of this approach are the high computational efficiency and a relaxation of the stationarity assumption. The results, in comparison with previous MPS methods, show better performance in portraying anisotropy characteristics and in CPU cost.
Share