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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Cited articles

Allard, D., Comunian, A., and Renard, P.: Probability aggregation methods in geoscience, Math. Geosci., 44, 545–581, 2012. 
Arpat, G. B. and Caers, J.: Conditional simulation with patterns, Math. Geol., 39, 177–203, 2007. 
Bayer, P., Huggenberger, P., Renard, P., and Comunian, A.: Three-dimensional high resolution fluvio-glacial aquifer analog: Part 1: Field study, J. Hydrol., 405, 1–9, 2011. 
Bayer, P., Comunian, A., Höyng, D., and Mariethoz, G.: High resolution multi-facies realizations of sedimentary reservoir and aquifer analogs, Scient. Data, 2, 150033, https://doi.org/10.1038/sdata.2015.33, 2015. 
Bordley, R. F.: A multiplicative formula for aggregating probability assessments, Manage. Sci., 28, 1137–1148, 1982. 
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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.