Multiple-point geostatistical simulation of dykes: application at Sungun porphyry copper system, Iran

Rezaee, Hassan; Asghari, Omid; Koneshloo, Mohammad; Ortíz, Julián M.

doi:10.1007/s00477-014-0857-8

Cited by 32 publications

(7 citation statements)

References 28 publications

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“…Lastly, model E (TI#'s 1-2, threshold 0.7) produces the best model fit with an r 2 of 0.87 and RMSE of 6.77 m. In this case, the model keeps the large number of simulated heterogeneities resulting from computing independently This study provides an additional analysis component compared to existing sources (Huysmans and Dassargues 2009;Rezaee et al 2014) who relied upon point information from boreholes. Information can be extrapolated from such sources; however; this is generally accompanied by high amounts of uncertainty and error.…”

Section: Discussionmentioning

confidence: 93%

“…MPS has been advanced and tested for several years, e.g. threedimensional (3D) application (Comunian et al 2011Michael et al 2010), direct sampling (Mariethoz et al 2010;Rezaee et al 2013) and geological structure (Huysmans and Dassargues 2009;2011;Rezaee et al 2014), demonstrating the ability of reproducing realistic geological models in a stochastic framework, and allowing a quantification of the uncertainty.…”

Section: Introductionmentioning

confidence: 99%

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Integrating aerial geophysical data in multiple-point statistics simulations to assist groundwater flow models

et al. 2015

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The process of accounting for heterogeneity has made significant advances in statistical research, primarily in the framework of stochastic analysis and the development of multiple-point statistics (MPS). Among MPS techniques, the direct sampling (DS) method is tested to determine its ability to delineate heterogeneity from aerial magnetics data in a regional sandstone aquifer intruded by low-permeability volcanic dykes in Northern Ireland, UK. The use of two two-dimensional bivariate training images aids in creating spatial probability distributions of heterogeneities of hydrogeological interest, despite relatively 'noisy' magnetics data (i.e. including hydrogeologically irrelevant urban noise and regional geologic effects). These distributions are incorporated into a hierarchy system where previously published density function and upscaling methods are applied to derive regional distributions of equivalent hydraulic conductivity tensor K. Several K models, as determined by several stochastic realisations of MPS dyke locations, are computed within groundwater flow models and evaluated by comparing modelled heads with field observations. Results show a significant improvement in model calibration when compared to a simplistic homogeneous and isotropic aquifer model that does not account for the dyke occurrence evidenced by airborne magnetic data. The best model is obtained when normal and reverse polarity dykes are computed separately within MPS simulations and when a probability threshold of 0.7 is applied. The presented stochastic approach also provides improvement when compared to a previously published deterministic anisotropic model based on the unprocessed (i.e. noisy) airborne magnetics. This demonstrates the potential of coupling MPS to airborne geophysical data for regional groundwater modelling.

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Section: Discussionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Integrating aerial geophysical data in multiple-point statistics simulations to assist groundwater flow models

et al. 2015

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“…The pros and cons of these models have been discussed in the literature (Chilès and Delfiner, 2012) and are out of the scope of this work. The applicability of geostatistical simulation, especially plurigaussian, to model the layout of geological domains such as barren dykes has been shown in previous studies (Carrasco et al, 2007;Riquelme et al, 2008;Madani and Emery, 2014;Yunsel and Ersoy, 2013;Talebi et al, 2013Talebi et al, , 2014Rezaee et al, 2014).…”

Section: Introductionmentioning

confidence: 92%

Stochastic rock type modeling in a porphyry copper deposit and its application to copper grade evaluation

Talebi

Asghari

Emery

2015

Journal of Geochemical Exploration

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“…Although the original application domain focused on modeling the internal structures of subsurface deposits ranging from pore-scale (El Ouassini et al, 2008;Okabe and Blunt, 2007;Tahmasebi and Sahimi, 2013;Zhang et al, 2006a) to reservoir-scale (Huysmans and Dassargues, 2012;Ronayne et al, 2008;Yin, 2013), it has thereafter been extended to very different fields such as mining (Goodfellow et al, 2012;Rezaee et al, 2014), soil science (Meerschman et al, 2014), remote sensing (Boucher, 2009;Ge and Bai, 2011;Jha et al, 2013;Stisen et al, 2011;Vannametee et al, 2014), for modeling the occurrence of rainfall (Oriani et al, 2014;Wojcik et al, 2009), and even in medical imaging (Pham, 2012).…”

Section: Introductionmentioning

confidence: 99%

Constraining distance-based multipoint simulations to proportions and trends

Mariethoz¹,

Straubhaar²,

Renard³

et al. 2015

Environmental Modelling & Software

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a b s t r a c tIn the last years, the use of training images to represent spatial variability has emerged as a viable concept. Among the possible algorithms dealing with training images, those using distances between patterns have been successful for applications to subsurface modeling and earth surface observation. However, one limitation of these algorithms is that they do not provide a precise control on the local proportion of each category in the output simulations. We present a distance perturbation strategy that addresses this issue. During the simulation, the distance to a candidate value is penalized if it does not result in proportions that tend to a target given by the user. The method is illustrated on applications to remote sensing and pore-scale modeling. These examples show that the approach offers increased user control on the simulation by allowing to easily impose trends or proportions that differ from the proportions in the training image.

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Multiple-point geostatistical simulation of dykes: application at Sungun porphyry copper system, Iran

Cited by 32 publications

References 28 publications

Integrating aerial geophysical data in multiple-point statistics simulations to assist groundwater flow models

Integrating aerial geophysical data in multiple-point statistics simulations to assist groundwater flow models

Stochastic rock type modeling in a porphyry copper deposit and its application to copper grade evaluation

Constraining distance-based multipoint simulations to proportions and trends

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