scholarly journals Factor analysis of the geochemical associations in the Plavica ore deposit, Republic of North Macedonia

2021 ◽  
Vol 82 (3) ◽  
pp. 144-146
Author(s):  
Kamen Popov ◽  
Kalin Ruskov ◽  
Gotse Zlatkov
Keyword(s):  
Factor Analysis ◽  
Chemical Elements ◽  
Spatial Distributions ◽  
Drill Core ◽  
Ore Deposit ◽  
Core Samples ◽  
Hydrothermal Processes ◽  
Ore Bodies ◽  
Geochemical Association ◽  
Geochemical Associations

The aim of this study is to investigate the geochemical associations in the Plavica deposit in Republic of North Macedonia. The analyses of drill core samples from the detail exploration works were statistically processed to determine the groups of chemical elements with common spatial distributions. The resulting geochemical groups represent different stages of the ore forming hydrothermal processes. The main ore elements are represented by geochemical association of ([As, Sb, Au, Sn] Cu, Bi, Fe, Ag) which group outlines the ore bodies.

scholarly journals Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data

2020 ◽  
Vol 12 (7) ◽  
pp. 1218
Author(s):  
Laura Tuşa ◽  
Mahdi Khodadadzadeh ◽  
Cecilia Contreras ◽  
Kasra Rafiezadeh Shahi ◽  
Margret Fuchs ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Resolution ◽  
Ore Deposits ◽  
Machine Learning Algorithms ◽  
Training Data ◽  
Support Vector ◽  
Drill Core ◽  
Data Types ◽  
Mineralogical Characterization ◽  
Core Samples

Due to the extensive drilling performed every year in exploration campaigns for the discovery and evaluation of ore deposits, drill-core mapping is becoming an essential step. While valuable mineralogical information is extracted during core logging by on-site geologists, the process is time consuming and dependent on the observer and individual background. Hyperspectral short-wave infrared (SWIR) data is used in the mining industry as a tool to complement traditional logging techniques and to provide a rapid and non-invasive analytical method for mineralogical characterization. Additionally, Scanning Electron Microscopy-based image analyses using a Mineral Liberation Analyser (SEM-MLA) provide exhaustive high-resolution mineralogical maps, but can only be performed on small areas of the drill-cores. We propose to use machine learning algorithms to combine the two data types and upscale the quantitative SEM-MLA mineralogical data to drill-core scale. This way, quasi-quantitative maps over entire drill-core samples are obtained. Our upscaling approach increases result transparency and reproducibility by employing physical-based data acquisition (hyperspectral imaging) combined with mathematical models (machine learning). The procedure is tested on 5 drill-core samples with varying training data using random forests, support vector machines and neural network regression models. The obtained mineral abundance maps are further used for the extraction of mineralogical parameters such as mineral association.

Metalliferous potential of the United Kingdom

1974 ◽  
Vol 339 (1618) ◽  
pp. 289-297 ◽  
Keyword(s):  
United Kingdom ◽  
Mechanical Equipment ◽  
Potential Production ◽  
Ore Deposit ◽  
The United Kingdom ◽  
Future Production ◽  
Ore Bodies ◽  
Vein Type ◽  
Opencast Mines ◽  
Vein Deposits

The total estimated value of past non-ferrous metalliferous production, as well as that of fluorspar, barytes and witherite, in the United Kingdom, as a whole, is £5.95 x 10 9 at assumed average 1973 metal and mineral prices. Southwest England produced roughly 70% of this value. The outlook for future production appears to be best in Wales and Scotland. At least one large unmined ore deposit of disseminated type is known, although vein-type ore bodies are more likely to be found. The effects of the development of high-tonnage mechanical equipment favour opencast mines and imply that vein deposits must be rich in order to compete economically. The estimated value of potential production from England and Wales is put in the range of £6.3 x 10 8 to £1.3 x 10 9 at assumed average 1973 prices. No quantified estimate is considered possible for Scotland.

Mining Spatial Patterns of Distribution of Uranium in Surface and Ground Waters in Ukraine

2017 ◽  
pp. 520-546
Author(s):  
Michael Govorov ◽  
Viktor Putrenko ◽  
Gennady Gienko
Keyword(s):  
Factor Analysis ◽  
Spatial Distribution ◽  
Spatial Patterns ◽  
Large Scale ◽  
Chemical Elements ◽  
Environmental Indicators ◽  
Local Factor ◽  
Correlation And Regression Analysis ◽  
Weighted Factor ◽  
Major Factors

A variety of geovisualization and spatial statistical methods can reveal spatial patterns in the distribution of chemical elements in surface and groundwater, and also identify major factors which define those patterns. This chapter describes a combination of modeling techniques to enhance understanding of large-scale spatial distribution of uranium in groundwater in Ukraine, by linking spatial patterns of several indicators and predictors. Factor, correlation, and regression analysis, including their spatial implementations, were used to describe the impacts of several environmental variables on spatial distribution of uranium. Local factor analysis (or Geographically Weighted Factor Analysis, GWFA) was proposed to identify major environmental factors which define the distribution of uranium, and to discover and map their spatial relationships. The study resulted in a series of maps to help visualize and explore the relationships between uranium and several environmental indicators.

The magnetization of oceanic crust: contribution to knowledge from the Troodos, Cyprus, ophiolite

1991 ◽  
Vol 28 (11) ◽  
pp. 1812-1826 ◽  
Author(s):  
James M. Hall ◽  
Charles C. Walls ◽  
Jing-Sui Yang ◽  
S. Lata Hall ◽  
Abdul Razzak Bakor
Keyword(s):  
Lower Limit ◽  
Oceanic Crust ◽  
Drill Hole ◽  
Extensive Study ◽  
Drill Core ◽  
Average Depth ◽  
Ocean Drilling Program ◽  
Ocean Drilling ◽  
Core Samples ◽  
Key Questions

An extensive study of a segment of the Troodos, Cyprus, ophiolite using both outcrop and drill-core samples, and extending from the sediment–extrusive interface through sheeted dikes to cumulate ultramafics, has allowed a number of key questions regarding the magnetization of oceanic crust to be addressed. These include the number of strongly magnetized intervals with depth, their lateral variability and controls on their occurrence. Comparison has also been made with the section in Ocean Drilling Program (ODP) hole 504B, and a reinterpretation of its constructional setting is offered.Two strongly magnetized intervals occur in the area studied. The upper is in the extrusive sequence, extends on average from 0.2 to 0.6 km depth, and has a thickness of ~0.4 km. Here magnetization is dominated by remanence. The lower interval extends from the lowest level at which flows occur with dikes (average depth = 0.9 km) into the Sheeted Complex (average depth = 1.2 km) and has a thickness of 0.3 km. Here magnetization is dominantly induced. No other strongly magnetized intervals occur in the section. The extent of dike intrusion is closely related to the position of the lower limit of the high-remanence layer and to the occurrence of the high induced magnetization layer. In both cases the replacement of primary magnetite, which can carry a strong remanence, by magnetically soft secondary magnetite appears to be the controlling process.Comparison of the Troodos and hole 504B magnetization profiles shows close similarity in the upper, remanence-dominated magnetic interval. The absence of the deeper interval of high induced magnetization in the hole 504B profile is interpreted as meaning that sheeted dikes have not been penetrated by the drill hole.

Drill core texture as geometallurgical indicator for the Mont-Wright iron ore deposit (Quebec, Canada)

2018 ◽  
Vol 122 ◽  
pp. 130-141 ◽  
Author(s):  
Laura Pérez-Barnuevo ◽  
Sylvie Lévesque ◽  
Claude Bazin
Keyword(s):  
Iron Ore ◽  
Drill Core ◽  
Ore Deposit ◽  
Iron Ore Deposit
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