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Enregistrement W2735622731 · doi:10.22067/econg.v9i1.49678

Chemical Compositions of Fluid Inclusions in the Jalal –Abad iron oxide deposit, North West of Zarand, Using LA-ICP-MS Microanalysis

2017· article· en· W2735622731 sur OpenAlexaboutno aff
Behrouz Karimi Shahraki, Behzad Mehrabi

Notice bibliographique

RevueDOAJ (DOAJ: Directory of Open Access Journals) · 2017
Typearticle
Langueen
DomaineComputer Science
ThématiqueGeochemistry and Geologic Mapping
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMicroanalysisGeologyMineralogyGeochemistryAnalytical Chemistry (journal)ChemistryChromatography

Résumé

récupéré en direct d'OpenAlex

Introduction The Poshtebadam Bafq Zarand district in central Iran is a world class iron oxide province. This region contains over two billion tons of iron ore reserves within more than 34 major magnetic anomalies and deposits in an area of 7,500 km2 (Stosch et al., 2011). The Jalal-Abad iron ore deposit (200Mt at 45% Fe, 1.18% S and 0.08% P) is located 38 km northwest of Zarand, 16 km southeast of the Rizu town in the Kerman province, Iran. Iron ore deposits are hosted by the Early Cambrian Rizu Series, composed mainly of sedimentary, volcanic and volcaniclastic rocks which are dominated by dolomite, sandstone, shale, siltstone, tuff, ignimbrite and rhyodacite. The origin of the iron oxide deposits is controversial and various genetic models have been suggested. Some researchers believe in magmatic origins or Kiruna type, while others suggest metasomatic replacement from pre-existing rocks (Stosch et al., 2011). LA-ICP-MS has been used to characterize the multi element chemistry of the diverse fluid inclusions found in the Jalal–Abad iron oxide deposit. The aim of this investigation was to understand the genesis of the ore body and identify possible hydrothermal fluid sources in the Jalal-Abad district. Sampling and method of study About 100 samples from different types of ore were collected from surface outcrops and a drill core whose association with mineralization are well established. Thin sections, polished thin sections and polished sections were prepared. SEM studies (FEI 5900LV) and LA-ICP-MS analyses of fluid inclusions were carried out in the School of Earth and Environment, the University of Leeds, UK. Fluid inclusions were studied using a Linkam THM-600 heating-freezing stage mounted on Zeiss petrography microscope at the Iranian Mineral Processing Research Center. Result and discussion Jalal Abad deposit is hosted by the early Cambrian volcano-sedimentary rocks of the Rizu series. Stratabound mineralization occurs in a variety of forms being massive, disseminated, replacement, open space filling, veins and breccias. Immediate host rocks include sandy siltstone, acidic volcanic rocks and dolomite. The Jalal Abad deposit mainly consists of iron oxides (magnetite, hematite and goethite), pyrite, chalcopyrite, and malachite that occur in massive, brecciated, open space filling, disseminated and vein forms. Hematite mostly occurs close to the surface and along fractured zones, formed as a secondary mineral due to magnetite oxidation and it is rare at depth. Pyrite is the most important sulphide mineral and is associated with magnetite, calcite, quartz, talc, dolomite, actinolite and chlorite. Copper mineralization at shallow levels is mainly in oxides formed from sulphide oxidation and at deeper levels primary chalcopyrite is also associated with magnetite. Cu mineralization is formed as disseminated or in veins form. Native gold was detected as inclusions smaller than 50 µm in chalcopyrite. Common alteration minerals are goethite, pyrite, talc, actinolite, chlorite, tremolite, dolomite, quartz, calcite, albite and sericite. The earliest hydrothermal alteration includes Na-Ca alteration which is associated with actinolite, magnetite and pyrite. Multiphase fluid inclusions (L+V+S) in quartz are abundant and homogenization temperatures are in the range of 260 to 440◦C. Salinities vary between 30 to 52 wt% NaCl equivalents. The concentrations of Na and K are in the range 26906 to 140716 ppm and 2372 to 70484 ppm, respectively. Fe content varies from 576 to16076 ppm with an average of 6914 ppm and Cu contents vary from 51 to 3204 ppm with a mean of 792 ppm. The Na/Ca values for fluid inclusions vary from 0.38 to 37.51 with a mean of 3.79. The average content of Na is 61511 ppm which is in agreement with salinity of fluid inclusions measured by microthermometry techniques. Magmatic fluids normally yield K > Ca, with Ca/K ratios between 0.01 to 1, whereas non magmatic fluids are often richer in Ca with Ca/K between 1 to 100 (Yardley, 2005). The amounts of Fe and Cu in magmatic fluids are commonly above 10000 and 1000 ppm, respectively. However, it depends on chlorinity (Fisher and Kendrick, 2008; Gillen, 2010; Appold and Wenz, 2011). Mn concentrations are 424 to 3645 ppm, with an average concentration of 7581 ppm. Mn/Fe ratio is varied from 0.21 to 1.87 with an average of 0.60.The wide range of homogenization temperature (170 -450 °C) and salinity (31- 52 wt % NaCl equiv) of the fluid inclusions and ratios of K/Ca in fluid inclusions indicate different fluid sources with magmatic and basinal type fluids (Yardley, 2005). Mn/Fe ratios in fluid inclusions are in wide ranges (0.21 -1.87) which indicate the presence of both reduced type and oxidized type fluids (Fisher and Kendrick, 2008). Results In addition to iron oxide, economical Cu mineralization occurs in the Jalal Abad deposit with Au, Bi and As mineralzation with insignificant apatite. The K, Fe, Ca, Na and Cu concentrations in fluid inclusions are most probably related to the mixing of magmatic and basinal fluids. The mineralogical, microthermometry and chemistry of fluid inclusions data show that magmatic-hydrothermal metal bearing fluids, nonmagmatic hydrothermal fluids and mixing of them are responsible for iron-Cu-Au mineralization (IOCG) in the Jalal- Abad deposit. References Appold, M.S. and Wenz, Z.J., 2011. Composition of Ore Fluid Inclusions from the Viburnum Trend, Southeast Missouri District, United States: Implications for Transport and Precipitation Mechanisms. Economic Geology, 106(1): 55-78. Fisher, L.A. and Kendrick, M.A., 2008. Metamorphic fluid origins in the Osborne Fe oxide–Cu–Au deposit, Australia: Evidence from noble gases and halogens. Mineralium Deposita, 43(5): 483–497. Gillen, D., 2010. A study of IOCG-related hydrothermal fluid in the Wernecke Mountains, Yukon Territory, Canada. Ph.D. thesis, James Cook University, Queensland, Australia, 562 pp. S Stosch, H.G., Romer, R.L. and Daliran, F., 2011. Uranium–lead ages of apatite from iron oxide ores of the Bafq District, East-Central Iran. Mineralium Deposita, 46(1): 9–21. Yardley, B.W.D., 2005. 100th Anniversary Special Paper: metal concentrations in crustal fluids and their relationship to ore formation. Economic Geology, 100(4): 613–632.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,141
Tête enseignante GPT0,472
Écart entre enseignants0,332 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2017
Routes d'admission1
Résumé présentoui

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