Modeling heterogeneous geological reservoirs using multiple-point statistics simulation
Landsat project); e) simulated delta structure (size 1500 x 900) based on the TI in a) and its auxiliary variable map b), and conditioned to c) auxiliary variable (distance to the coast) for the SG, and d) orientation zones map for the SG. Fig 2: a) outcrop sections used to deduce the training struc...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.510.6081 2023-05-15T17:07:39+02:00 Modeling heterogeneous geological reservoirs using multiple-point statistics simulation Ro Comunian Julien Straubhaar Olivier Besson The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.510.6081 http://geoscience-meeting.scnatweb.ch/sgm2009/sgm09_abstracts/powerpoints/comunian_sgm09_poster.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.510.6081 http://geoscience-meeting.scnatweb.ch/sgm2009/sgm09_abstracts/powerpoints/comunian_sgm09_poster.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://geoscience-meeting.scnatweb.ch/sgm2009/sgm09_abstracts/powerpoints/comunian_sgm09_poster.pdf method to perform multiple-points geostatistical simulations Water text ftciteseerx 2016-01-08T09:37:45Z Landsat project); e) simulated delta structure (size 1500 x 900) based on the TI in a) and its auxiliary variable map b), and conditioned to c) auxiliary variable (distance to the coast) for the SG, and d) orientation zones map for the SG. Fig 2: a) outcrop sections used to deduce the training structures and as conditioning data; b) large scale structures interpolated with ordinary Kriging; c) one of the training images used for the MPS simulation of a single layer of b); d) one realization of the full 3D geometry obtained with the hierarchical approach. Conclusion MPS technique provides realistic and highly heterogeneous models accounting for: conceptual model (TI), conditioning data, non stationarity. 1s t case study: Lena River 2D example, simulation of a delta: 3 facies (channels, lakes, land), non stationarity handled with auxiliary variable (distance to coast) and zones for rotations, conditioning data in sea (in the SG). 2n d case study: Herten aquifer analog Reconstruction of the 3D structure of highly heterogeneous sedimentary deposits: Herten dataset [1]: six parallel outcrops (Fig.2a) of a quarry in the Rhine basin close to Basel, Ordinary Kriging for simulating large scale structures (Fig.2b), then, MPS for simulating small scale heterogeneities (Fig.2d). Text lena river Unknown |
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English |
topic |
method to perform multiple-points geostatistical simulations Water |
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method to perform multiple-points geostatistical simulations Water Ro Comunian Julien Straubhaar Olivier Besson Modeling heterogeneous geological reservoirs using multiple-point statistics simulation |
topic_facet |
method to perform multiple-points geostatistical simulations Water |
description |
Landsat project); e) simulated delta structure (size 1500 x 900) based on the TI in a) and its auxiliary variable map b), and conditioned to c) auxiliary variable (distance to the coast) for the SG, and d) orientation zones map for the SG. Fig 2: a) outcrop sections used to deduce the training structures and as conditioning data; b) large scale structures interpolated with ordinary Kriging; c) one of the training images used for the MPS simulation of a single layer of b); d) one realization of the full 3D geometry obtained with the hierarchical approach. Conclusion MPS technique provides realistic and highly heterogeneous models accounting for: conceptual model (TI), conditioning data, non stationarity. 1s t case study: Lena River 2D example, simulation of a delta: 3 facies (channels, lakes, land), non stationarity handled with auxiliary variable (distance to coast) and zones for rotations, conditioning data in sea (in the SG). 2n d case study: Herten aquifer analog Reconstruction of the 3D structure of highly heterogeneous sedimentary deposits: Herten dataset [1]: six parallel outcrops (Fig.2a) of a quarry in the Rhine basin close to Basel, Ordinary Kriging for simulating large scale structures (Fig.2b), then, MPS for simulating small scale heterogeneities (Fig.2d). |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Ro Comunian Julien Straubhaar Olivier Besson |
author_facet |
Ro Comunian Julien Straubhaar Olivier Besson |
author_sort |
Ro Comunian |
title |
Modeling heterogeneous geological reservoirs using multiple-point statistics simulation |
title_short |
Modeling heterogeneous geological reservoirs using multiple-point statistics simulation |
title_full |
Modeling heterogeneous geological reservoirs using multiple-point statistics simulation |
title_fullStr |
Modeling heterogeneous geological reservoirs using multiple-point statistics simulation |
title_full_unstemmed |
Modeling heterogeneous geological reservoirs using multiple-point statistics simulation |
title_sort |
modeling heterogeneous geological reservoirs using multiple-point statistics simulation |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.510.6081 http://geoscience-meeting.scnatweb.ch/sgm2009/sgm09_abstracts/powerpoints/comunian_sgm09_poster.pdf |
genre |
lena river |
genre_facet |
lena river |
op_source |
http://geoscience-meeting.scnatweb.ch/sgm2009/sgm09_abstracts/powerpoints/comunian_sgm09_poster.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.510.6081 http://geoscience-meeting.scnatweb.ch/sgm2009/sgm09_abstracts/powerpoints/comunian_sgm09_poster.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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