scholarly journals Integration of Geological Mapping and Remote Sensed Studies for the Discovery of Iron–Ore Mineralization in Mutomo–Ikutha Area, SE Kenya

2015 ◽  
Vol 3 (2) ◽  
pp. 39-50 ◽  
Author(s):  
Aaron K. Waswa ◽  
Christopher M. Nyamai ◽  
Eliud M. Mathu ◽  
Daniel W. Ichang'i
EKSPLORIUM ◽  
2019 ◽  
Vol 40 (1) ◽  
pp. 33
Author(s):  
Ngadenin Ngadenin ◽  
Frederikus Dian Indrastomo ◽  
Widodo Widodo ◽  
Kurnia Setiawan Widana

ABSTRAKElla Ilir secara administratif terletak di Kabupaten Melawi, Kalimantan Barat. Geologi regional daerah Ella Ilir tersusun atas batuan malihan berumur Trias–Karbon yang diterobos oleh batuan granitik berumur Yura dan Kapur. Keterdapatan mineral radioaktif di daerah tersebut terindikasi dari radioaktivitas urat-urat magnetit pada batuan malihan berumur Trias–Karbon dengan kisaran nilai 1.000 c/s hingga 15.000 c/s. Tujuan dari penelitian ini adalah menentukan jenis cebakan mineral bijih dan mengidentifikasi keterdapatan mineral radioaktif pada urat-urat bijih magnetit di daerah Ella Ilir. Metode yang digunakan adalah pemetaan geologi, pengukuran radioaktivitas, analisis kadar uranium, dan analisis mineragrafi beberapa sampel urat bijih magnetit. Litologi daerah penelitian tersusun oleh kuarsit biotit, metatuf, metabatulanau, metapelit, granit biotit, dan riolit. Sesar sinistral barat-timur dan sesar dekstral utara-selatan merupakan struktur sesar yang berkembang di daerah ini. Komposisi mineral urat-urat magnetit terdiri dari mineral-mineral bijih besi, sulfida, dan radioaktif. Mineral bijih besi terdiri dari magnetit, hematit, dan gutit. Mineral sulfida terdiri dari pirit, pirhotit, dan molibdenit sedangkan mineral radioaktif terdiri dari uraninit dan gumit. Keterdapatan urat-urat bijih magnetit dikontrol oleh litologi dan struktur geologi. Urat-urat magnetit pada metabatulanau berukuran tebal (1,5–5 m), mengisi rekahan-rekahan yang terdapat di sekitar zona sesar. Sementara itu, urat-urat magnetit pada metapelit berukuran tipis (milimetrik–sentimetrik), mengisi rekahan-rekahan yang sejajar dengan bidang sekistositas. Cebakan mineral bijih di daerah penelitian adalah cebakan bijih besi atau cebakan bijih magnetit berbentuk urat karena proses hidrotermal magmatik.ABSTRACTElla Ilir administratively located in Melawi Regency, West Kalimantan. Regional geology of Ella Ilir area is composed of metamorphic rocks in Triassic–Carboniferous age which are intruded by Jurassic and Cretaceous granitic rocks. Radioactive minerals occurences in the area are indicated by magnetite veins radioactivities on Triassic to Carboniferous metamorphic rocks whose values range from 1,000 c/s to 15,000 c/s. Goal of the study is to determine the type of ore mineral deposits and to identify the presence of radioactive mineral in magnetite veins in Ella Ilir area. The methods used are geological mapping, radioactivity measurements, analysis on uranium grades, and mineragraphy analysis of severe magnetite veins samples. Lithologies of the study area are composed by biotite quartzite, metatuff, metasilt, metapellite, biotite granite, and ryolite. The east-west sinistral fault and the north-south dextral fault are the developed fault structures in this area. Mineral composition of magnetite veins are consists of iron ore, sulfide, and radioactive minerals. Iron ore mineral consists of magnetite, hematit, and goetite. Sulfide minerals consist of pyrite, pirhotite, and molybdenite, while radioactive minerals consist of uraninite and gummite. The occurences of magnetite veins are controlled by lithology and geological structures. The magnetite veins in metasilt are thick (1.5–5 m), filled the fractures in the fault zone. Meanwhile, the magnetite veins in metapellite are thinner (milimetric–centimetric), filled the fractures that are parallel to the schistocity. The ore deposits in the study area are iron ore deposits or magnetite ore deposits formed by magmatic hydrothermal processes. 


2013 ◽  
Vol 652-654 ◽  
pp. 2538-2542 ◽  
Author(s):  
Xiao Hui Fan ◽  
Ying Li ◽  
Xu Ling Chen

The main effect on iron ore mineralization performance in the sintering process is the grain size of raw material and chemical composition. The results show that -0.5mm particles can mineralize, but +0.5mm particles remain a nucleus in sinter. This paper analyses the effect of the chemical composition on mineralization characteristics of liquid production. The relationship model is established by using regression analysis between the chemical composition and liquid formation characteristics. The mian factors of mineralization in the chemical composition: SiO2, CaO, MgO and Al2O3.


EKSPLORIUM ◽  
2017 ◽  
Vol 38 (1) ◽  
pp. 7
Author(s):  
Ngadenin Ngadenin ◽  
Frederikus Dian Indrastomo ◽  
Adhika Junara Karunianto ◽  
Ersina Rakhma

ABSTRAKWilayah Batubesi di Belitung Timur berada di zona bagian timur dari granit jalur timah Asia Tenggara sehingga diduga merupakan daerah yang sangat potensial bagi terbentuknya cebakan bijih seperti besi dan timah bersama dengan monasit dan mineral asesoris lainnya. Penelitian ini bertujuan untuk mengetahui tataan geologi dan mengidentifikasi keterdapatan cebakan bijih dan mineral ikutan radioaktif  di daerah Batubesi. Metodologi dalam penelitian ini adalah pemetaan geologi, pengukuran kadar uranium dan thorium, analisis petrografi, mineragrafi, dan butir. Daerah penelitian tersusun atas satuan granit dan metabatupasir. Granit diidentifikasi sebagai granit biotit dan granit hornblenda. Struktur geologi yang berkembang adalah sesar sinistral berarah barat daya – timur laut dan sesar dekstral berarah tenggara – barat laut. Cebakan bijih yang terbentuk di  merupakan cebakan bijih besi primer tipe skarn iron tin polymetallic dengan magnetit sebagai mineral utama dan monasit serta zirkon sebagai mineral ikutan radioaktif . Mineral ikutan lainya adalah hematit, ilmenit, kasiterit, dan rutil. ABSTRACTThe Batubesi area in Belitung Timur is located in the eastern part of the Southeast Asian granites tin belt zone, so that it expected as a potential area for the occurence of ore deposit such as iron and cassiterite associate with monazite and other accessories minerals. The study aimed to understand the geological setting and to determine the occurrence of primary ore deposit and its radioactive accessories minerals. The methodologies in this research are geological mapping, uranium and thorium grade measurement, petrography, mineragraphy and grain counting analysis. The area composed by granite and metasandstone units. Types of granites are biotite and hornblende granites. The geological structures founded in this area are SW-NE sinistral and NW-SE dextral faults. Ore deposit in the area is primary iron ore deposits of skarn iron tin polymetallic type where magnetite is the main mineral while monazite and zircon are radioactive accessories minerals. The other accessories minerals are hematite, ilmenite, cassiterite, and rutile.


LITOSFERA ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 349-364
Author(s):  
Yu. S. Savchuk ◽  
A. V. Volkov ◽  
V. V. Aristov

Research subject. Large orogenic gold deposits in the fold belts of Central and Northeast Asia.Materials and methods. Geological mapping of various scales on a number of large orogenic gold deposits was conducted using the methods of structural-paragenetic analysis of metamorphic strata, accompanied by obligatory linking of ore mineralization manifestations to specific structures. In a number of cases, various statistical methods were used to geometrize mineralization, identify patterns of its location and determine the paths of paleofluid flows. Available publications on the objects under consideration were reviewed. The geological and structural features of large orogenic gold deposits – Muruntau, Kokpatas, Sukhoi Log and Pavlik – were considered.Results. The Muruntau, Kokpatas and the Sukhoi Log ore deposits are of shariyage-thrust type. Compared to these objects, the Pavlik field is confined to a zone of volumetric fracturing between a series of reverse faults, feathering a large deep fault and belonging to the transpression type. At the Muruntau and Pavlik deposits, the analysis of the location of the most intensive mineralization substantiated the paths of paleofluid flows, along which the fluid migration and ore formation took place.Conclusions. The distribution of ore mineralization in the Muruntau deposit obeys the orientation of planar (cleavage) and linear (orientation of fold hinges) elements. Apparently, the former (main) direction may indicate the orientation and position of the main migration route of ore-bearing fluids, while the latter corresponds to secondary channels, the position of which is due to the intersection of syn-napping structures with favourable lithological horizons. For the Pavlik deposit, the position of ore pillars is compared with the paths of paleofluid flows, the root parts of which are promising for identifying the most powerful and intense mineralization.


Minerals ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 677
Author(s):  
Ebotehouna ◽  
Xie ◽  
Adomako-Ansah ◽  
Pei

The Nabeba iron ore deposit is located at the northern part of Congo Craton, Republic of Congo. The ore deposit consists of supergene and hypogene ores, both of which are hosted in the Precambrian Nabeba banded iron formation (BIF). This study focuses on the hypogene iron ore mineralization associated with quartz veins in the Nabeba deposit, for which two hypogene ore stages have been recognized based on geologic and petrographic observations: early-stage high‐grade hematite‐rich ore (HO‐1) and late-stage magnetite‐rich ore (HO‐2). Based on microthermometric measurements and laser Raman spectroscopy of the fluid inclusions, the H2O‐NaCl ± CO2 fluids interacting with the Nabeba BIF at the HO‐1 stage evolve from high‐to‐moderate temperatures (203–405 °C) and contrasting salinities (moderate-to-low: 1–15 wt. % NaCl equiv.; high: 30–35 wt. % NaCl equiv.) to H2O‐NaCl fluids of moderate‐to‐low temperatures (150–290 °C) and salinities (1–11 wt. % NaCl equiv.) for the HO‐2 ore stage. Assuming equilibrium oxygen isotopic exchange between quartz and water, the δ18Ofluid values range from 4.7–8.1‰ for the HO‐1 stage and −2.3‰ to −1.5‰ for the HO‐2 stage. This implies the ore‐forming fluid of initially-mixed metamorphic–magmatic origin, later replenished by seawater and/or meteoric water during the formation of the HO‐2 stage. These mixtures of different fluids, coupled with their interaction with the BIF lithology followed by phase separation, are responsible for the enrichment of hypogene iron ore in the Nabeba deposit.


2016 ◽  
Vol 63 (2) ◽  
pp. 109-118
Author(s):  
Kayode Oyedele ◽  
Sunday Oladele ◽  
Anthony Salami

Abstract The banded iron ore mineralization at Ero was investigated using aeromagnetic, resistivity and induced polarization (IP) methods with the aim of characterizing the deposit. Analysis of the aeromagnetic data involved the application of reduced-to-equator transformation, derivative filters, analytic signal and source parameter imaging techniques. Computer modelling of some of the identified anomalies was undertaken. The electrical resistivity and IP methods helped in discriminating between the iron ore and the host rock. The results showed that the banded iron formations (BIFs) were characterized by spherical analytic signal anomalies ranging from 0.035 nT/m to 0.06 nT/m within the granite gneiss and magnetic susceptibility of 0.007-0.014 SI. The iron ore had low chargeability (0.1-5.0 msec) and resistivity (1.5 × 102 to 2.5 × 103 Ωm). Structural features trending in the NE-SW, E-W, and NW-SE were identified, suggesting that the area had undergone many episodes of tectonic events. Depth to the BIF varied from the surface up to about 200 m. The chargeability response of the iron bodies suggested an average grade of 20%-40%, making the prospect for economic exploitation attractive.


Baltica ◽  
2019 ◽  
Vol 32 (1) ◽  
pp. 107-126
Author(s):  
Gražina Skridlaitė ◽  
Laurynas Šiliauskas ◽  
Sabina Prušinskienė ◽  
Bogusław Bagiński

The large Varena Iron Ore deposit of southeast Lithuania lies beneath 200–400 m thick sedimentary cover in the East European Craton. Several drilling projects have revealed that it contains ca. 70–200 million tons of iron ore. A metasomatic origin has been proposed by several investigators, with an igneous (mafic, ultramafic carbonatitic) origin also considered. Detailed micropetrography on a variety of ore-bearing and skarnitised samples through backscattered electron imaging, along with mineral chemical analysis and monazite dating by electron microprobe, provide support for a metasomatic origin. High-grade temperature (ca. 700–750° C) skarns containing forsterite, enstatite, spinel and diopside were formed preferentially in carbonate-rich rocks and were subsequently overprinted by amphibole-bearing (tremolite, actinolite, anthophyllite and hornblende) skarns. A low-temperature hydrous influx and changing redox conditions not only caused the serpentinization of the earlier skarns, but also deposited a considerable amount of iron ore in the form of magnetite. Iron was derived from various sources and was accompanied by sulphide, apatite, REE and other mineralizations. The ca. 1.78 Ga monazite grew during the regional metamorphism, while ca. 1.54 Ga is attributed to the last mineralization phases.


2020 ◽  
Vol 97 ◽  
pp. 102409 ◽  
Author(s):  
Luis M. Alva-Valdivia ◽  
Paola Guerrero-Díaz ◽  
Jaime Urrutia-Fucugauchi ◽  
Amar Agarwal ◽  
Cecilia I. Caballero-Miranda

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Andrey O. Kalashnikov ◽  
Ivan I. Nikulin ◽  
Dmitry G. Stepenshchikov

Abstract We stated and solved three successive problems concerning automatization of geological mapping using the case of the Bolshetroitskoe high-grade iron ore deposit in weathered crust of Banded Iron Formation (Kursk Magnetic Anomaly, Belgorod Region, Russia). (1) Selecting a classification (clustering) method of geochemical data without reference sampling, i.e., solution of an “unsupervised clustering task”. We developed 5 rock classifications based on different principles, i.e., classification by visual description, by distribution of economic component (Fe2O3), by cluster analysis of raw data and centered log-ratio transformation of the raw data, and by artificial neural network (Kohonnen’s self-organized map). (2) Non-parametric comparison of quality of the classifications and revealing the best one. (3) Automatic 3D geological mapping in accordance with the best classification. The developed approach of automatic 3D geological mapping seems to be rather simple and plausible.


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