Abstract
Deterministic modeling of the geological domains is often restricted to the uncertainty assessment. Using stochastic modeling can be considered as an effective solution in order to overcome this restriction. It can also be effectively used for evaluation of ore bodies. Sequential indicator simulation as a stochastic modeling method is a widely used technique to characterize the categorical variables such as facies, rock types, alterations, and mineralized zones. Inverting the categorical variables to indicators proposes the global and local variability of the variable under study by descriptive and spatial statistics. In this study, this approach has been applied to a set of experimental data acquired from Daralu ore deposit located in southern part of the Urumieh–Dokhtar magmatic arc, south of Kerman province, SE Iran. Kerman province hosts several porphyry copper deposits in which calculation of probabilistic description of four normally presented mineralized zones (hypogene, supergene, oxide, and leached zones) for evaluation of relevant ore bodies would be advisable.
| Original language | English |
|---|---|
| Pages (from-to) | 8449-8459 |
| Number of pages | 11 |
| Journal | Arabian Journal of Geosciences |
| Volume | 8 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - Oct 30 2015 |
| Externally published | Yes |
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Keywords
- Daralu porphyry copper
- Geological uncertainty
- Mineralized zones
- Sequential indicator simulation (SIS)
ASJC Scopus subject areas
- Environmental Science(all)
- Earth and Planetary Sciences(all)
Cite this
Probabilistic modeling of mineralized zones in Daralu copper deposit (SE Iran) using sequential indicator simulation. / Sojdehee, Mona; Rasa, Iraj; Nezafati, Nima; Abedini, Mansour Vosoughi; Madani, Nasser; Zeinedini, Ehsan.
In: Arabian Journal of Geosciences, Vol. 8, No. 10, 30.10.2015, p. 8449-8459.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Probabilistic modeling of mineralized zones in Daralu copper deposit (SE Iran) using sequential indicator simulation
AU - Sojdehee, Mona
AU - Rasa, Iraj
AU - Nezafati, Nima
AU - Abedini, Mansour Vosoughi
AU - Madani, Nasser
AU - Zeinedini, Ehsan
PY - 2015/10/30
Y1 - 2015/10/30
N2 - Deterministic modeling of the geological domains is often restricted to the uncertainty assessment. Using stochastic modeling can be considered as an effective solution in order to overcome this restriction. It can also be effectively used for evaluation of ore bodies. Sequential indicator simulation as a stochastic modeling method is a widely used technique to characterize the categorical variables such as facies, rock types, alterations, and mineralized zones. Inverting the categorical variables to indicators proposes the global and local variability of the variable under study by descriptive and spatial statistics. In this study, this approach has been applied to a set of experimental data acquired from Daralu ore deposit located in southern part of the Urumieh–Dokhtar magmatic arc, south of Kerman province, SE Iran. Kerman province hosts several porphyry copper deposits in which calculation of probabilistic description of four normally presented mineralized zones (hypogene, supergene, oxide, and leached zones) for evaluation of relevant ore bodies would be advisable.
AB - Deterministic modeling of the geological domains is often restricted to the uncertainty assessment. Using stochastic modeling can be considered as an effective solution in order to overcome this restriction. It can also be effectively used for evaluation of ore bodies. Sequential indicator simulation as a stochastic modeling method is a widely used technique to characterize the categorical variables such as facies, rock types, alterations, and mineralized zones. Inverting the categorical variables to indicators proposes the global and local variability of the variable under study by descriptive and spatial statistics. In this study, this approach has been applied to a set of experimental data acquired from Daralu ore deposit located in southern part of the Urumieh–Dokhtar magmatic arc, south of Kerman province, SE Iran. Kerman province hosts several porphyry copper deposits in which calculation of probabilistic description of four normally presented mineralized zones (hypogene, supergene, oxide, and leached zones) for evaluation of relevant ore bodies would be advisable.
KW - Daralu porphyry copper
KW - Geological uncertainty
KW - Mineralized zones
KW - Sequential indicator simulation (SIS)
UR - http://www.scopus.com/inward/record.url?scp=84942552714&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942552714&partnerID=8YFLogxK
U2 - 10.1007/s12517-015-1828-1
DO - 10.1007/s12517-015-1828-1
M3 - Article
AN - SCOPUS:84942552714
VL - 8
SP - 8449
EP - 8459
JO - Arabian Journal of Geosciences
JF - Arabian Journal of Geosciences
SN - 1866-7511
IS - 10
ER -