Uncertainty-volume fractal model for delineating copper mineralization controllers using geostatistical simulation in Nohkouhi volcanogenic massive sulfide deposit, Central Iran
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 diff...
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| Format: | Article |
| Language: | English |
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General Directorate of Mineral Research and Exploration
2020-04-01
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| Series: | Bulletin of the Mineral Research and Exploration |
| Subjects: | |
| Online Access: | http://dergipark.org.tr/tr/pub/bulletinofmre/issue/42676/495753?publisher=mta |
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| author | Saeid HAJSADEGHI Omid ASGHARI Mirsaleh MIRMOHAMMADI Peyman AFZAL Seyed Ahmad MESHKANI |
| author_facet | Saeid HAJSADEGHI Omid ASGHARI Mirsaleh MIRMOHAMMADI Peyman AFZAL Seyed Ahmad MESHKANI |
| author_sort | Saeid HAJSADEGHI |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T10:38:31Z |
| format | Article |
| id | doaj.art-10f734c3f5c24025a60f2f691781ebf5 |
| institution | Directory Open Access Journal |
| issn | 0026-4563 |
| language | English |
| last_indexed | 2024-04-10T10:38:31Z |
| publishDate | 2020-04-01 |
| publisher | General Directorate of Mineral Research and Exploration |
| record_format | Article |
| series | Bulletin of the Mineral Research and Exploration |
| spelling | doaj.art-10f734c3f5c24025a60f2f691781ebf52023-02-15T16:20:42ZengGeneral Directorate of Mineral Research and ExplorationBulletin of the Mineral Research and Exploration0026-45632020-04-0116116111110.19111/bulletinofmre.49575376Uncertainty-volume fractal model for delineating copper mineralization controllers using geostatistical simulation in Nohkouhi volcanogenic massive sulfide deposit, Central IranSaeid HAJSADEGHIOmid ASGHARIMirsaleh MIRMOHAMMADIPeyman AFZALSeyed Ahmad MESHKANIThe 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.http://dergipark.org.tr/tr/pub/bulletinofmre/issue/42676/495753?publisher=mtanohkouhi copper depositsequential gaussian simulationsequential indicator simulationconcentration–volume fractal modelinguncertainty-volume fractal modelingvolcanogenic massive sulfide |
| spellingShingle | Saeid HAJSADEGHI Omid ASGHARI Mirsaleh MIRMOHAMMADI Peyman AFZAL Seyed Ahmad MESHKANI Uncertainty-volume fractal model for delineating copper mineralization controllers using geostatistical simulation in Nohkouhi volcanogenic massive sulfide deposit, Central Iran Bulletin of the Mineral Research and Exploration nohkouhi copper deposit sequential gaussian simulation sequential indicator simulation concentration–volume fractal modeling uncertainty-volume fractal modeling volcanogenic massive sulfide |
| title | Uncertainty-volume fractal model for delineating copper mineralization controllers using geostatistical simulation in Nohkouhi volcanogenic massive sulfide deposit, Central Iran |
| title_full | Uncertainty-volume fractal model for delineating copper mineralization controllers using geostatistical simulation in Nohkouhi volcanogenic massive sulfide deposit, Central Iran |
| title_fullStr | Uncertainty-volume fractal model for delineating copper mineralization controllers using geostatistical simulation in Nohkouhi volcanogenic massive sulfide deposit, Central Iran |
| title_full_unstemmed | Uncertainty-volume fractal model for delineating copper mineralization controllers using geostatistical simulation in Nohkouhi volcanogenic massive sulfide deposit, Central Iran |
| title_short | Uncertainty-volume fractal model for delineating copper mineralization controllers using geostatistical simulation in Nohkouhi volcanogenic massive sulfide deposit, Central Iran |
| title_sort | uncertainty volume fractal model for delineating copper mineralization controllers using geostatistical simulation in nohkouhi volcanogenic massive sulfide deposit central iran |
| topic | nohkouhi copper deposit sequential gaussian simulation sequential indicator simulation concentration–volume fractal modeling uncertainty-volume fractal modeling volcanogenic massive sulfide |
| url | http://dergipark.org.tr/tr/pub/bulletinofmre/issue/42676/495753?publisher=mta |
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