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

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Latest update: 14 Dec 2024
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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.