Szczegóły publikacji
Opis bibliograficzny
Evaluation accuracy of accompanying elements contents in the $Cu-Ag$ sulphide ore deposit of the Lubin–Głogów Copper District (Fore–Sudetic Monocline, Poland) / Jacek MUCHA, Marek Nieć, Edyta SERMET, Justyna AUGUŚCIK // W: SGEM 2016 : 16th international multidisciplinary scientific geoconference : science and technologies in geology, exploration and mining : 30 June–6 July, 2016, Albena, Bulgaria : conference proceedings. Vol. 1, Geology, hydrogeology, engineering geology and geotechnics. — Sofia : STEF92 Technology Ltd., cop. 2016. — (International Multidisciplinary Scientific GeoConference SGEM ; ISSN 1314-2704). — ISBN: 978-619-7105-55-1. — S. 27–34. — Bibliogr. s. 34, Abstr.
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 99122 |
|---|---|
| Data dodania do BaDAP | 2016-07-13 |
| Rok publikacji | 2016 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 16th international multidisciplinary scientific geoconference |
| Czasopismo/seria | International Multidisciplinary Scientific GeoConference SGEM |
Abstract
The Cu-Ag sulphide ore deposit has been discovered, assessed and mined for decades in the Lubin-Glogow Copper District, SW Poland. The stratoidal deposit is hosted in the Lower Zechstein sediments of the Fore-sudetic Monocline. Thickness of the ore zone varies from 0.4 to 26 meters and mean Cu grade is about 2 wt.%. The ore zone dips to the NE at low angle (from a few to a dozen degrees) and is cut by NW-SEE- and NEE-SWW-trending fault systems. The ore is polymetallic and, apart from main metal (Cu), it contains a long list of accompanying elements: Ag, As, Au, Ba, Bi, Cd, Co, Ge, F, Fe, Hg, Mo, Ni, Pb, Pt, Pd, Re, S, Sb, Se, Sn, Th, U, V and Zn. Variability of the contents of main metal (Cu) and 8 selected accompanying elements: Ag, As, Au, Co, Ni, Pb, PGE (Pt+Pd), Ssulphide was characterized with the histograms and principal statistical parameters whereas the structure of their variability was analyzed with the relative semivariograms. The geostatistical kriging procedure was applied to determine the estimation errors of mean contents evaluation of selected elements in particular mining fields of the size representative for annual production of deposit. The determined estimation errors enabled us to establish a ranking of elements reflecting the estimation accuracy of their contents. The reasons of generally low estimation accuracy of accompanying elements contents were identified as: low values and high variabilities of their contents, sample collection errors and insufficient spacing of sampling sites in underground workings.
