Abstract
The plurigaussian model is increasingly used for simulating geo-domains and quantifying geological uncertainty in the subsurface. However, because they rely on the truncation of only two Gaussian random fields, the current implementations of this model are often restricted in the number of geo-domains that can be simulated and in their contact relationships. A solution to overcome these restrictions is to increase the number of underlying Gaussian random fields. Such an approach yields a very flexible model, able to reproduce the contact relationships between geo-domains in agreement with their chronology (i.e., such that younger geo-domains cross-cut the older ones), as well as the geo-domain proportions and spatial correlation structure. The proposed approach is applied to a dataset from the Río Blanco copper deposit in the Chilean Central Andes, in which it is of interest to simulate the layout of seven rock units (andesite, granitoid, tourmaline breccia, monolithic breccia, magmatic breccia, porphyry and pipe). The results are used to map the probabilities of occurrence of the rock units and to identify the sectors where the interpreted rock model is uncertain.
| Original language | English |
|---|---|
| Pages (from-to) | 2173-2191 |
| Number of pages | 19 |
| Journal | Stochastic Environmental Research and Risk Assessment |
| Volume | 29 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - Dec 1 2015 |
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Keywords
- Domaining
- Geological heterogeneity
- Geological uncertainty
- Hierarchical modeling
- Plurigaussian simulation
ASJC Scopus subject areas
- Environmental Engineering
- Environmental Chemistry
- Water Science and Technology
- Safety, Risk, Reliability and Quality
- Environmental Science(all)
Cite this
Simulation of geo-domains accounting for chronology and contact relationships : application to the Río Blanco copper deposit. / Madani, Nasser; Emery, Xavier.
In: Stochastic Environmental Research and Risk Assessment, Vol. 29, No. 8, 01.12.2015, p. 2173-2191.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Simulation of geo-domains accounting for chronology and contact relationships
T2 - application to the Río Blanco copper deposit
AU - Madani, Nasser
AU - Emery, Xavier
PY - 2015/12/1
Y1 - 2015/12/1
N2 - The plurigaussian model is increasingly used for simulating geo-domains and quantifying geological uncertainty in the subsurface. However, because they rely on the truncation of only two Gaussian random fields, the current implementations of this model are often restricted in the number of geo-domains that can be simulated and in their contact relationships. A solution to overcome these restrictions is to increase the number of underlying Gaussian random fields. Such an approach yields a very flexible model, able to reproduce the contact relationships between geo-domains in agreement with their chronology (i.e., such that younger geo-domains cross-cut the older ones), as well as the geo-domain proportions and spatial correlation structure. The proposed approach is applied to a dataset from the Río Blanco copper deposit in the Chilean Central Andes, in which it is of interest to simulate the layout of seven rock units (andesite, granitoid, tourmaline breccia, monolithic breccia, magmatic breccia, porphyry and pipe). The results are used to map the probabilities of occurrence of the rock units and to identify the sectors where the interpreted rock model is uncertain.
AB - The plurigaussian model is increasingly used for simulating geo-domains and quantifying geological uncertainty in the subsurface. However, because they rely on the truncation of only two Gaussian random fields, the current implementations of this model are often restricted in the number of geo-domains that can be simulated and in their contact relationships. A solution to overcome these restrictions is to increase the number of underlying Gaussian random fields. Such an approach yields a very flexible model, able to reproduce the contact relationships between geo-domains in agreement with their chronology (i.e., such that younger geo-domains cross-cut the older ones), as well as the geo-domain proportions and spatial correlation structure. The proposed approach is applied to a dataset from the Río Blanco copper deposit in the Chilean Central Andes, in which it is of interest to simulate the layout of seven rock units (andesite, granitoid, tourmaline breccia, monolithic breccia, magmatic breccia, porphyry and pipe). The results are used to map the probabilities of occurrence of the rock units and to identify the sectors where the interpreted rock model is uncertain.
KW - Domaining
KW - Geological heterogeneity
KW - Geological uncertainty
KW - Hierarchical modeling
KW - Plurigaussian simulation
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U2 - 10.1007/s00477-014-0997-x
DO - 10.1007/s00477-014-0997-x
M3 - Article
AN - SCOPUS:84943198800
VL - 29
SP - 2173
EP - 2191
JO - Stochastic Environmental Research and Risk Assessment
JF - Stochastic Environmental Research and Risk Assessment
SN - 1436-3240
IS - 8
ER -