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Türkiye Jeoloji Bülteni

Türkiye Jeoloji Bülteni

2022 OCAK Cilt 65 Sayı 1
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The Genesis, Geochemical Characteristics of Manganese Mineralization in the Southern Part of the Cihanpaşa (Yozgat) Area
Mustafa Selman Aydoğan
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Abstract: Late Cretaceous ophiolitic mélange complexes of the Izmir-Ankara-Erzincan Suture Zone (İAESZ) thatis the remnant of the northern branch of the Neotethys Ocean host numerous manganese oxide deposits in Turkey.These deposits are observed within the red-violet radiolarian chert blocks belonging to mélange units. Of thesemélange units, the Artova mélange is observed along the İAESZ in the northern part of the Kırşehir Massif, centralTurkey, is made up mainly of pelagic limestone, pillow basalt, radiolarian-chert blocks, highly alteredserpentinite. Mn-oxide mineralizations from Cihanpaşa (Yozgat, central Anatolia) region were analysed in orderto determine their depositional conditions, paleo-redox signatures, origin  source. These mineralizations arecomposed mainly of an alternation of radiolarian cherts mudstones that overlie altered pillow basalt in anoverturned fold. Based on petrographic studies, the mineral paragenesis of the manganese oxide mineralizations iscomprised predominantly of braunite, pyrolusite, pysilomelane quartz. Geochemically, high Mn/Fe (60.2), lowΣREE (15.75 ppm) Cu+Ni+Co (730 ppm), a negative Ce anomaly weakly negative Y/Y* anomaly (0.87) suggest that the Cihanpaşa manganese mineralizations formed in a submarine hydrothermal system. A negative Ce/Ce* anomaly (0.33), low Ceanom values (< − 0.54), redox-sensitive tracers [V/(V + Ni) = 0.43, Ni/Co = 0.51,V/Mo = 6.15)] indicate that the manganese mineralization was formed by a hydrothermal system in an oxygenatedmarine sedimentary environment. Further, a weakly positive negative Eu anomaly (0.84), high Lasn/Cesn (3.96),low Al/(Al + Fe) (0.34) ΣREE/Fe (30.7x10-4) ratios highlighted that the Cihanpaşa manganese mineralizationswere formed via impact of a low-T hydrothermal system, which is relatively close to the spreading ridge of the IzmirAnkara-Erzincan Ocean.

  • Central Anatolia

  • Cihanpaşa

  • hydrothermal

  • manganese oxide mineralization

  • radiolarian chert

  • Yozgat

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  • Aydoğan, S. (2021). Cihanpaşa (Yozgat) Bölgesinin Güney Kesimindeki Manganez Cevherleşmesinin Jeokimyasal Özellikleri ve Kökeni . Türkiye Jeoloji Bülteni , 65 (1) , 1-34 . DOI: 10.25288/tjb.975220

    • Permeability Estimation from Stoneley Waves in Carbonate Reservoirs
    Keyvan Khayer Adel Shirazy Aref Shirazi Abdolhamid Ansari Ardeshir Hezarkhani
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    Abstract: Permeability is one of the petrophysical properties of oil, gas reservoirs is defined as the abilityof rock to transmit fluids through the porous media. After exploration of any reservoir, permeability information isnecessary to optimize the well completion method, oil, gas production  field development. Permeability isdetermined by both direct-indirect methods. Direct methods are core analysis, well testing, modular dynamictester (MDT) the indirect method is using well logging data such as nuclear magnetic resonance (NMR) porosity. Determination of permeability from the Stoneley slowness is one of the indirect continuous methodsin the whole well-bore has been chosen as the goal of this study. The result of this correlation has been plottedagainst other well logging data, there is a very good match between this result other petrophysical properties.Due to the complex nature of permeability in carbonate reservoirs, most of the time there is not a good matchbetween this parameter other petrophysical properties. This study has been conducted on the data of a singlewell correlation has been determined. The results show that in calculation of permeability from Stoneley waves,the effective parameters are porosity, lithology, Stoneley slowness accuracy of the MDT tool. For more precisecorrelation in a reservoir/ a specific geological area, more data from other wells/ reservoirs are necessary.

  • Carbonate reservoirs

  • Dipole Shear Sonic imager

  • permeability

  • stoneley waves


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  • Khayer, K. , Shirazy, A. , Shirazi, A. , Ansari, A. & Hezarkhani, A. (2021). Permeability Estimation from Stoneley Waves in Carbonate Reservoirs . Türkiye Jeoloji Bülteni , 65 (1) , 35-42 . DOI: 10.25288/tjb.974505

    • Recent Marine Ostracods (Crustacea) around Hovgaard, Horseshoe Islands (Antarctica Peninsula)
    Atike Nazik Yeşim Büyükmeriç Ali Murat Kiliç Zeki Ünal Yümün
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    Abstract: On the route of the II Turkish Antarctic Expedition (TAE-II) in the NW of the continent of Antarctica,twelve grab sediment samples were been collected from seven different locations at depths of -20 , -60 m betweenKing George, Horseshoe islands in NW Antarctica. The collected samples consist of greenish gray silty clay, fine sandy silt, as well as brownish gray sandy silty clay units containing fine gravel grains.In the Hovgaard, Horseshoe islands, six genera, six species of ostracods were identified: Copytuscaligula Skogsberg, Austrotrachyleberis antarctica (Neale), Australicythere devexa (Müller), Cativella bensoniNeale, Cytheropteron acuticaudatum Hartmann, Loxoreticulatum fallax (Müller). The species are cryophilicendemic ostracods. When the fossil, current findings are compared, Austrotrachyleberis antarctica, whichhas been known since the Oligocene, migrated from Antarctica to South America, Cativella bensonimigrated from South America to Antarctica.

  • Antarctica

  • Ostracod

  • Recent

  • zoogeography


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  • Nazik, A. , Büyükmeriç, Y. , Kılıç, A. M. & Yümün, Z. Ü. (2022). Hovgaard ve Horseshoe Adaları (Antarktika Yarımadası) Çevresindeki Güncel Denizel Ostrakodlar (Crustacea) . Türkiye Jeoloji Bülteni , 65 (1) , 43-52 . DOI: 10.25288/tjb.1002087

    • A Case Study on Modelling, Resource Assesment Using Geostatistical Parameters for the Flotation, Smelting Mining Waste in the Balya Region (Balıkesir, NW Turkey)
    Ahmet Baştürk Mustafa Selman Aydoğan
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    Abstract: Mining waste at Balya (Balıkesir) was studied, divided in two categories, flotation, smelting.90 flotation samples, 14 smelting samples from the waste were collected to analyse the valuable elements. XRFresults show that the flotation waste has an average of 4.38 wt% Pb, 4.1 wt% Zn, 8.48 wt% Fe, 0.29 wt% Cucontent; while the smelting waste includes an average concentration of 3.16 wt% Pb, 11.08 wt% Zn, 26.53 wt%Fe, 0.22 wt% Cu. The chemical data related to the waste were interpreted by statistical analysis. Using thedetermined geostatistical parameters, the area variation on the basis of grade was determined using the OrdinaryKriging method. Quantity, tonnage, density, tonnage change values of the mining waste were used in theconstructed block model. The amount of the possible reserves of the waste was then determined. A resource of516,674 tons for the smelting, flotation waste was assessed. Excluding Fe, Cu, this study revealed that miningwaste in the Balya region has an operable content of Pb, Zn. However, more detailed research, developmentwork is required for the recovery, disposal process of the Pb-Zn-rich areas, due to the presence of some sulphateminerals (bassanite, anglesite), the oxidation processes, the partial sedimentation heterogeneous structureof these wastes.

  • Balıkesir

  • Balya

  • block model

  • flotation

  • smelting

  • resource

  • waste


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    • K-Means Clustering, General Regression Neural Network Methods for Copper Mineralization probability in Chahar-Farsakh, Iran
    Adel Shirazy Ardeshir Hezarkhani Aref Shirazi Shayan Khakmardan Reza Rooki
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    Abstract: Due to the efficiency of data mining science for analyzing, reviewing extensive data, especiallygeochemical data, essential methods ,techniques such as the hierarchical method, K-Means method, densitybased methods, Cohennon method, so forth, have been developed ,utilized by numerous researchers forclustering. One of the most notable ,widely used algorithms in the field of clustering is the K-Means algorithm.This algorithm divides the data in K clusters by emphasizing the distance criterion. This study focuses on applyingthis method according to lithogeochemical data taken from the 1:100,000 scale map of Chahar-Farsakh in SouthKhorasan province for the elements of copper, cobalt, nickel to the sampling coordinates. The optimal value ofK was classified according to the desirability of the selection, the data, thus the relationships between theseelements in the range were determined. This was analyzed by changing the value of K from 3 to 15 criteria mentionedin each class to reveal the optimal K. According to the observations, the existence of a quadratic relationship withnegative concavity between copper, cobalt elements, as well as a special exponential relationship between copper, nickel, a positive linear relationship between nickel, cobalt, were reported. Finally, considering thecoordinates of the samples, the concentration of cobalt, nickel, the quantity of copper was predicted usinga General Regression Neural Network (GRNN). The accuracy of this method was estimated to be 0.99 on trainingdata 0.76 on test data. Therefore, using the proposed method (K-means Clustering, GRNN) in this paper, itis possible to examine the extent of changes in other elements in the analysis. Also, it is possible to make deeper,broader explorations via determining the relationship between the elements.

  • Behavioral Measurement

  • Chahar-Farsakh

  • Desirability

  • General Regression Neural Network

  • K-means

  • Prediction


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