Geological structure and localization of mineralization at the Moryanikho-Merkurikhinskoye ore field

2022 ◽  
pp. 75-84
Author(s):  
Maria Zaitseva

The paper discusses the lithological and facial features of the terrigenous-carbonate (biohermic) ore-bearing geological formation of the Moryanikho-Merkurikhinskoye ore field (Yenisei Ridge), which hosts stratiform lead-zinc deposits in carbonate strata. Ore-hosting lithofacies and their paleostructural position are characterized. Based on the previous studies, as well as the author’s own materials obtained as a result of field work, the main favorable lithological, facial and structural factors for hosting Moryanikhinsky-type stratiform lead-zinc mineralization are defined: the presence of paleodepressions within the shelf zone; development of carbonate rocks – dolomites, stromatolite dolomites and limestones, which are biohermic structures on the slopes of paleo-uplifts; the presence of an admixture of tuffaceous material in terrigenous rock varieties. The influence of tectonic faults on the formation of ore deposits and the morphology of ore bodies is indicated. The main types of ores of the Moryanikho- Merkurikhinsky ore field, as well as their mineral composition are described. The paper discusses the main ore types, as well as their mineral composition typical of the Moryanikho-Merkurikhinskoye ore field. The largest and well-studied lead and zinc stratiform Moryanikhinskoye deposit and Merkurikhinskoye ore occurrence located within the ore field are briefly characterized. The Moryanikhinskoye deposit is a typical example for searching for stratiform deposits of lead and zinc in the carbonate strata of the Angara-Bolshepitskaya mineragenic zone, which is of practical interest in developing predictive prospecting models of deposits and improving the efficiency of prospecting.

2020 ◽  
pp. 52-67
Author(s):  
M. N. Zaitseva ◽  
V. V. Kuznetsov ◽  
V. D. Konkin ◽  
T. V. Seravina ◽  
A. V. Inyakin ◽  
...  

The paper shows the main characteristics for geological and associated ore formations in the Tungusik formation complex. Ore formation deposit types and ore field types in the region are identified and described. Based on the identified lithofacies, the paleoenvironment of stratiform ore associations formation is characterized. The role of metamorphism and structural factors affecting prospecting conditions are shown. The relationship between the mineral type of ores and organic carbon content in ore-bearing strata for various geological and economic types has been revealed. The obtained and generalized data are of practical interest in designing forecasting/prospecting deposit models and improving prospecting efficiency.


2020 ◽  
pp. 68-84
Author(s):  
S. M. Makeev ◽  
E. A. Muromtsev ◽  
V. A. Makarov ◽  
G. V. Belokonov

Information collected on deposits, ore occurrences, and lead and zinc mineralization points known within the Yenisei Ridge is provided. A summary of the latest data on the geology and metallogeny of lead and zinc in the region is presented. A brief description of the deposits is given and their ore formation typification is carried out. The position of deposits in a stratigraphic section, the relationship with geological formations and tectonic structures, and subsequent conclusions about deposit location patterns and metallogenic zonality of the area were examined. The position analysis of polymetallic mineralization in regional geophysical and geochemical field revealed the presence of lead → zinc → barium trend from the Ishimbinsk fault towards the Siberian platform and the potential discovery of economically significant polymetallic mineralization in the eastern Yenisei Ridge.


2012 ◽  
Vol 532-533 ◽  
pp. 115-120
Author(s):  
Shu Qin Zeng ◽  
Xiao Lin Zhang ◽  
Dian Wen Liu ◽  
Zhi Chong Wei

Rude ores, which were collected from two lead-zinc oxide ore deposits in Sichuan province, are very difficult to process with low grade and uneven mineral dissemination. It is very difficult to separate valuable minerals from gangue minerals, especially for the recovery of lead and zinc minerals. On the basis of mineral characteristic study, author studied flotation technology on lead-zinc mineral, and gained satisfactory concentrate indicator by stage-grinding: the lead concentrate with a grade of 52.45 percents and a recovery of 79.30 percents and the zinc concentrate with a grade of 35.26 percents and a recovery of 87.57 percents .


2018 ◽  
Vol 39 (3) ◽  
Author(s):  
Joël Viltus ◽  
Marcel De Souza Bonfim

The region of the Ribeira Valley is known for its metallic sulphide deposits (lead, zinc, copper, silver and gold), being the major lead producer of the Brazil in the 1950s. Since then, it has become the target of several geological studies from which two models of lead and zinc mineralization known as Perau and Panelas models were proposed. This study is particularly interested in the Panelas model, which is characterized by its vein morphology, association with carbonate rocks and structural control. Based on literature, this paper proposes to verify the applicability of the hierarchical analysis process (AHP) as auxiliary of the geographic information system (GIS) in the favorability mapping of hydrothermal veins-type Pb deposits which fit in the Panelas model. The study area is the western region of the Ribeira Valley, located in the southern portion of the São Paulo State, Brazil. In order to perform this work, four parameters were used: geological structure, stratigraphy, lithology and geochemistry. The result obtained highlights areas corresponding to Mina de Furnas, Bairro da Serra and Água Clara Formations as highly favorable areas to lead mineralization according this model. In addition, it shows the negative association of these geological formations with potassium concentration.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Abdolrahim Foroutan ◽  
Majid Abbas Zadeh Haji Abadi ◽  
Yaser Kianinia ◽  
Mahdi Ghadiri

AbstractCollector type and pulp pH play an important role in the lead–zinc ore flotation process. In the current study, the effect of pulp pH and the collector type parameters on the galena and sphalerite flotation from a complex lead–zinc–iron ore was investigated. The ethyl xanthate and Aero 3418 collectors were used for lead flotation and Aero 3477 and amyl xanthate for zinc flotation. It was found that maximum lead grade could be achieved by using Aero 3418 as collector at pH 8. Also, iron and zinc recoveries and grades were increased in the lead concentrate at lower pH which caused zinc recovery reduction in the zinc concentrate and decrease the lead grade concentrate. Furthermore, the results showed that the maximum zinc grade and recovery of 42.9% and 76.7% were achieved at pH 6 in the presence of Aero 3477 as collector. For both collectors at pH 5, Zinc recovery was increased around 2–3%; however, the iron recovery was also increased at this pH which reduced the zinc concentrate quality. Finally, pH 8 and pH 6 were selected as optimum pH values for lead and zinc flotation circuits, respectively.


Minerals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 816
Author(s):  
Mohammad Jooshaki ◽  
Alona Nad ◽  
Simon Michaux

Machine learning is a subcategory of artificial intelligence, which aims to make computers capable of solving complex problems without being explicitly programmed. Availability of large datasets, development of effective algorithms, and access to the powerful computers have resulted in the unprecedented success of machine learning in recent years. This powerful tool has been employed in a plethora of science and engineering domains including mining and minerals industry. Considering the ever-increasing global demand for raw materials, complexities of the geological structure of ore deposits, and decreasing ore grade, high-quality and extensive mineralogical information is required. Comprehensive analyses of such invaluable information call for advanced and powerful techniques including machine learning. This paper presents a systematic review of the efforts that have been dedicated to the development of machine learning-based solutions for better utilizing mineralogical data in mining and mineral studies. To that end, we investigate the main reasons behind the superiority of machine learning in the relevant literature, machine learning algorithms that have been deployed, input data, concerned outputs, as well as the general trends in the subject area.


2013 ◽  
Vol 807-809 ◽  
pp. 2197-2200
Author(s):  
Zhi Cai Xiao ◽  
Ming Guo Deng

Luziyuan lead-zinc deposit located in Fengwei, Zhenkang,Yunnan Province, at the direction of 140°, horizontal distance is about 10km. The deposit closely related to acidic magmatism and geological structure. According to the latest exploration results of Yunnan Geological Survey, the amount of lead-zinc resources is 280 million tons, it is super-mega deposit. Mineralization factors as tectonics, deep fault, concealed rock, ore formation and surface north-east trending fault zone control the formation of the deposit. Gravity abnormal, magnetic abnormal, geochemical abnormal and associated mineralization of the mine relate to prospecting potential.


Author(s):  
A. L. Dergachev

Tectonic evolution of the Earth is a principle global factor responsible for uneven distribution of lead and zinc reserves in geological time. Cyclic changes in productivity of lead-zinc ore-formation processes resulted from periodical amalgamation of most blocks of continental crust, formation, stabilization and final break-up of supercontinents. Many features of age spectrums of lead and zinc reserves are caused by gradual increase of volume of continental crust resulting from accretion of island arcs to ancient cratons, widening of distribution of ensialic environments of ore-formation and increasing role of continental crust in magmatic processes.


2021 ◽  
Author(s):  
Ihor Bubniak ◽  
Serhiy Tsikhon ◽  
Anatoliy Tserklevych ◽  
Yevheniy Shylo ◽  
Mariia Oliinyk

<p>We present a new educational course "Creation of virtual geological outcrops of the outskirts of Lviv" for students of geological specialties. Discipline "Creation of virtual geological outcrops of the outskirts of Lviv" is a selective discipline for students of 2-3 courses of various specialties, which is lectured in the amount of 3 credits (according to ECTS). The course is 32 hours of classroom classes, 16 hours of these of lectures, the rest 16 hours of practical classes and 58 hours of self-study.</p><p>The course is in three parts. First is preparatory ones. Students get acquainted with the geological structure of Lviv, prepare equipment for field work.</p><p>The field stage (the second part of the course) includes the survey of 3-4 geological objects around Lviv. These can be natural outcrops, quarries. A particularly valuable object for learning is the Honey Cave, located within the city limits. Depending on the object, we choose the type of survey— digital photogrammetry or terrestrial laser scanning. Each group of 4 students explores 2 objects.</p><p>The third cameral period includes field data processing. Students create 3D geological models and perform various measurements on them. Students compare different types of models to choose the best one. At this stage, students use a variety of software available in institutions. The final stage of the course is the preparation of a report and passing the exam.</p><p>The project war partly financed by EGU HE Teaching Award.</p>


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