Porphyry Cu–Au mineralization in the Mirkuh Ali Mirza magmatic complex, NW Iran

Maghsoudi, Abbas; Yazdi, Mohammad; Mehrpartou, M.; Vosoughi, M.; Younesi, S.

doi:10.1016/j.jseaes.2012.10.002

Cited by 34 publications

(8 citation statements)

References 26 publications

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“…10). These geochemical associations are typical of porphyry deposits Cu-Au-Mo, where both ore-forming fluid and metals are derived from the granite porphyry (e.g., Mao et al, 2011;Maghsoudi et al, 2014). The hematitization and limonite-goethite alteration characterising the mineralized quartz veins indicate that the magmatic-hydrothermal fluids derived from the magma in the early stages of the mineralization event were mixed with meteoric waters in the late stages.…”

Section: Alteration and Geochemical Characteristicsmentioning

confidence: 90%

Base metal-enriched gold-quartz veins in the eastern Cameroon goldfields, West-Central Africa

et al. 2022

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The Colomine and Bétaré Oya gold districts are among the main gold-producing districts in the reworked Paleoproterozoic terrain of eastern Cameroon. The characteristics of the mineralized and barren veins from these areas were investigated with the aim of helping artisanal gold miners and Small and Medium Size Enterprises (SME) active in the region to identify new gold targets. This could help boost the country's annual gold production and also generate local revenue for the indigenous community. Gold mineralization occurs in gently dipping NNE-SSW to NE-SW-trending quartz veins hosted by hydrothermally altered granitic rocks in the Colomine gold district and weathered mica schist in the Bétaré Oya gold district. The hydrothermally altered granite wallrock hosts millimetric-sized quartz lamellae/veinlets characterised by a quartz-sericite-muscovite-biotite±chlorite±albite assemblage. The mineralized quartz veins in both districts are fractured, brecciated, sheared, and vuggy, characterised by a quartz±gold±sulphide±hematite±limonite±goethite ±carbonate assemblage. Hematite occurs in a botryoidal form, ind icating the strong influence of supergene processes. This alteration phase is associated with supergene gold enrichment in the veins and constitutes the most attractive part to be exploited by artisanal and SMEs. The barren veins trend NW-SW to N-S and are generally massive to foliated. Gold ranges between 5 and 32 ppb in the wall-rock and up to 2070 and 4600 ppb in hematite-bearing quartz veins. Bulk geochemistry reveals Au-Mo (±Ag) element association in Colomine and Au-Ag-Mo-Cu in Bétaré Oya indicative of a sulfide-bearing granitic source.

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Section: Alteration and Geochemical Characteristicsmentioning

confidence: 90%

Base metal-enriched gold-quartz veins in the eastern Cameroon goldfields, West-Central Africa

et al. 2022

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“…Remote sensing satellite imagery is extensively and successfully used for mapping hydrothermal alteration zones for gold minerals exploration in many metallogenic provinces around the world [7,12,15,[17][18][19][20]36,38,[90][91][92][93][94]. In the Ahar-Arasbaran region, NW Iran, a variety of ore mineralizations such as Au, Cu-Au, Au-Ag, Fe-Au, Cu-Mo, Fe, Cu, Pb-Zn are identified, which are associated with widespread hydrothermal alteration minerals [47,49,51,[95][96][97]. In this investigation, Landsat-7 ETM+, Landsat-8 and ASTER multi-sensor remote sensing satellite imagery was used to map hydrothermal alteration zones associated with epithermal gold mineralization in the Ahar-Arasbaran region.…”

Section: Discussionmentioning

confidence: 99%

“…The Ahar-Arasbaran region covers an area (approximately 5000 km 2 ), which is located between latitudes 38 • 07 N and 38 • (Figure 1). This zone is a part of Lesser Caucasus metallogenic zone and corresponding to tectono-magmatism activity from Jurassic to Quaternary [46,47,53,54]. The volcano-plutonic belt of Arasbaran-Lesser Caucasus is a mountainous and uplifted region that trending NW-SE from Georgia (Republic of Azerbaijan) to the Talesh region (Iran) [50].…”

Section: Geology Of the Ahar-arasbaran Regionmentioning

confidence: 99%

“…In this study, Landsat-7 ETM+, Landsat-8 and ASTER multispectral remote sensing datasets were used to identify hydrothermal alteration zones associated with epithermal gold mineralization and producing thematic layers, which were afterward synthesized in the Bayesian networks for mineral potential mapping in the Ahar-Arasbaran region, NW Iran (Figure 1). This region is a well-endowed terrain hosting numerous known epithermal gold deposits, several porphyry and skarn Cu-Mo deposits, Fe skarn deposits, Cu-Au porphyry deposits and many other Cu-Mo-Au vein mineralizations [46][47][48][49][50]. The deposits are associated with extensive hydrothermal alteration mineral zones such as iron oxide/hydroxides, advanced argillic, argillic, phyllic and propylitic [48,51,52].…”

Section: Introductionmentioning

confidence: 99%

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A Remote Sensing-Based Application of Bayesian Networks for Epithermal Gold Potential Mapping in Ahar-Arasbaran Area, NW Iran

et al. 2019

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Mapping hydrothermal alteration minerals using multispectral remote sensing satellite imagery provides vital information for the exploration of porphyry and epithermal ore mineralizations. The Ahar-Arasbaran region, NW Iran, contains a variety of porphyry, skarn and epithermal ore deposits. Gold mineralization occurs in the form of epithermal veins and veinlets, which is associated with hydrothermal alteration zones. Thus, the identification of hydrothermal alteration zones is one of the key indicators for targeting new prospective zones of epithermal gold mineralization in the Ahar-Arasbaran region. In this study, Landsat Enhanced Thematic Mapper+ (Landsat-7 ETM+), Landsat-8 and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral remote sensing datasets were processed to detect hydrothermal alteration zones associated with epithermal gold mineralization in the Ahar-Arasbaran region. Band ratio techniques and principal component analysis (PCA) were applied on Landsat-7 ETM+ and Landsat-8 data to map hydrothermal alteration zones. Advanced argillic, argillic-phyllic, propylitic and hydrous silica alteration zones were detected and discriminated by implementing band ratio, relative absorption band depth (RBD) and selective PCA to ASTER data. Subsequently, the Bayesian network classifier was used to synthesize the thematic layers of hydrothermal alteration zones. A mineral potential map was generated by the Bayesian network classifier, which shows several new prospective zones of epithermal gold mineralization in the Ahar-Arasbaran region. Besides, comprehensive field surveying and laboratory analysis were conducted to verify the remote sensing results and mineral potential map produced by the Bayesian network classifier. A good rate of agreement with field and laboratory data is achieved for remote sensing results and consequential mineral potential map. It is recommended that the Bayesian network classifier can be broadly used as a valuable model for fusing multi-sensor remote sensing results to generate mineral potential map for reconnaissance stages of epithermal gold exploration in the Ahar-Arasbaran region and other analogous metallogenic provinces around the world.

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“…Some of the data and interpretations discussed in previous chapters of this book can be used to define the most prospective igneous belts in regional-scale target generation and the exploration for world-class gold and copper-gold deposits, since many of these deposits are spatially associated with, or hosted by, potassic igneous rocks (Mutschler et al 1985;Müller and Groves 1993;Müller 2002;Sillitoe 2002;Bi et al 2004;Hu et al 2004Hu et al , 2015Kouzmanov et al 2009;Soloviev and Krivoschenkov 2011;Fornadel et al 2012;Hronski et al 2012;Lehmann et al 2013;Lu et al 2013a;Soloviev et al 2013;Witt et al 2014;Bissig and Cooke 2014;Chai et al 2014;Maghsoudi et al 2014;Soloviev 2014aSoloviev , b, 2015Xu et al 2014Xu et al , 2015Zhao et al 2014a, b;Heidari et al 2015;Jamali and Mehrabi 2015;Shafaroudi et al 2015). The points listed below may be particularly useful.…”

Section: Introductionmentioning

confidence: 99%