Indirect rock type modeling using geostatistical simulation of independent components in Nohkouhi volcanogenic massive sulfide deposit, Iran

Hajsadeghi, Saeid; Asghari, Omid; Mirmohammadi, Mirsaleh; Meshkani, Seyed Ahmad

doi:10.1016/j.gexplo.2016.06.013

Cited by 14 publications

(3 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such deposits usually have continuous transitions and uncertain age relations between different rock types, and questionable genesis. Another nearly data-driven method for geological modelling is recently presented by Hajsadeghi and colleagues 8 .…”

Section: Introductionmentioning

confidence: 99%

Approach of automatic 3D geological mapping: the case of the Kovdor phoscorite-carbonatite complex, NW Russia

Kalashnikov

Ivanyuk

Mikhailova

et al. 2017

Sci Rep

View full text Add to dashboard Cite

We have developed an approach for automatic 3D geological mapping based on conversion of chemical composition of rocks to mineral composition by logical computation. It allows to calculate mineral composition based on bulk rock chemistry, interpolate the mineral composition in the same way as chemical composition, and, finally, build a 3D geological model. The approach was developed for the Kovdor phoscorite-carbonatite complex containing the Kovdor baddeleyite-apatite-magnetite deposit. We used 4 bulk rock chemistry analyses – Femagn, P2O5, CO2 and SiO2. We used four techniques for prediction of rock types – calculation of normative mineral compositions (norms), multiple regression, artificial neural network and developed by logical evaluation. The two latter became the best. As a result, we distinguished 14 types of phoscorites (forsterite-apatite-magnetite-carbonate rock), carbonatite and host rocks. The results show good convergence with our petrographical studies of the deposit, and recent manually built maps. The proposed approach can be used as a tool of a deposit genesis reconstruction and preliminary geometallurgical modelling.

show abstract

Section: Introductionmentioning

confidence: 99%

Approach of automatic 3D geological mapping: the case of the Kovdor phoscorite-carbonatite complex, NW Russia

Kalashnikov

Ivanyuk

Mikhailova

et al. 2017

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Several copper populations were delineated based on the results of U-V and C-V fractal modeling and the most frequently occurring model of rock types. Massive, semi-massive, and oxide zones -hosted by black shale Figure 9-a) Most frequent occurrence model of rock types obtained by SIS (Hajsadeghi et al, 2016), b) Mineralized host rock characterized by MAL> 0.52 or CPY> 0.6, c) different Cu populations based on C-V fractal modeling in a simulation in realization 1, d) different Cu populations based on C-V fractal modeling in a simulation in realization 10. Section A-B is provided on figure 1.…”

Section: Resultsmentioning

confidence: 99%

“…high and moderate) and copper grades. 3D models of the rock types (black shale, rhyodacite, and sandstone) were generated by employing SIS and geological drill core data (Hajsadeghi et al, 2016). Figure 9a displays the most frequently occurring model of rock types.…”

Section: Inside Zone Outside Zonementioning

confidence: 99%

Uncertainty-Volume fractal model for delineating copper mineralization controllers using geostatistical simulation in Nohkouhi volcanogenic massive sulfide deposit, Central Iran

Hajsadeghi¹,

Asghari

Mirmohammadi

et al. 2018

Bulletin of the Mineral Research and Exploration

Self Cite

View full text Add to dashboard Cite

The aim of this study was to delineate copper mineralization controllers in Nohkouhi volcanogenic massive sulfide (VMS) deposit by using geostatistical and fractal simulation. In this study, concentration-volume (C-V) fractal model has been used to indicate various copper populations related to different host rocks and copper minerals. Accordingly, uncertainty-volume (U-V) fractal model was applied to probability values achieved through sequential indicator simulation (SIS). Copper ores of Nohkouhi deposit including chalcopyrite and malachite were simulated in 30 realizations. The U-V fractal model obtained by using a probability map was divided into four probability zones (high, moderate, low, and very low) for copper minerals. Furthermore, copper grades were simulated for 10 times by sequential Gaussian simulation (SGS). Combination of C-V and U-V fractal modeling resulted in a hybrid method which could be properly employed to determinate various mineralization zones based on the relationship between quantitative (e.g. copper grade) and qualitative (e.g. copper minerals) variables. Moreover, integrating the results of C-V and U-V fractal modeling with the most frequent occurrence of rock type modeling helps identify copper mineralization controllers in a VMS deposit.

show abstract

Discrimination of Mineralized Rock Types in a Copper-Rich Volcanogenic Massive Sulfide Deposit Through Fast Independent Component and Factor Analysis

et al. 2019

View full text Add to dashboard Cite

Indirect rock type modeling using geostatistical simulation of independent components in Nohkouhi volcanogenic massive sulfide deposit, Iran

Cited by 14 publications

References 47 publications

Approach of automatic 3D geological mapping: the case of the Kovdor phoscorite-carbonatite complex, NW Russia

Approach of automatic 3D geological mapping: the case of the Kovdor phoscorite-carbonatite complex, NW Russia

Uncertainty-Volume fractal model for delineating copper mineralization controllers using geostatistical simulation in Nohkouhi volcanogenic massive sulfide deposit, Central Iran

Discrimination of Mineralized Rock Types in a Copper-Rich Volcanogenic Massive Sulfide Deposit Through Fast Independent Component and Factor Analysis

Contact Info

Product

Resources

About