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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Skarn testing report: MAP002: D5.4

Brosig, Andreas 12 March 2021 (has links)
An assessment of tin-skarn resources in the Erzgebirge, Germany, was conducted with the 3-Part Method. For this purpose a Grade-Tonnage Model for this deposit type was established. A literature review produced grade and tonnage data for 23 skarn deposits, of which 9 are in the assessment area. Based on an existing predictive map created with an AI algorithm, seven permissive tracts with a total area of 776 km² were defined. To estimate the number of undiscovered deposits a panel of five experts in the economic geology of the Erzgebirge was assembled. From the expert estimates and the newly developed Grade-Tonnage Model the undiscovered ore and metal tonnages in each permissive tract were evaluated. In four of the seven tracts the probability of the existence of at least one undiscovered deposit is estimated to be greater than 50%, in permissive tract 2 it is even greater than 90%. In each of these tracts, the median assessed undiscovered ore tonnages are several million tons and the tin resources exceed 10,000 tons. For the most perspective tract (Permissive tract 2) the median estimates are 40.6 Million tons of ore with a tin content of 114,000 tons. For tungsten (tonnages calculated as WO3) the numbers are slightly lower. The results verify the high resource potential of tin skarns in the Erzgebirge and can be used to guide future exploration activities to the most economically promising permissive tracts.
2

Rohstoffprognosen für Zinn, Wolfram, Fluss- und Schwerspat im Mittelerzgebirge

Brosig, Andreas, Barth, Andreas, Knobloch, Andreas, Dickmayer, Ellen 04 January 2022 (has links)
Im Rahmen des Projektes ROHSA 3 wurden auf Basis vorhandener und neu verfügbar gemachter Daten Prognosen für Zinn, Wolfram sowie Fluss- und Schwerspat in einem 740 m² großen Gebiet im Mittelerzgebirge angefertigt. Die Karten zeigen höffige Gebieten, wobei für Zinn und Wolfram erstmals auch Mengen-Prognosen erstellt wurden. Geophysikalische, geochemische Daten sowie Lagerstättenindikatoren (z. B. Tektonik, Erz kontrollierende Lithologien) wurden durch die Software advangeo@ aufbereitet und mittels ihrer künstlich neuronalen Netze (KNN) verarbeitet. Durch höhere Datendichte, Einbeziehung dreidimensionaler geologischer Daten und Aufstellung quantitativer Modelle wurde ein deutlicher Erkenntnisfortschritt erzielt. Redaktionsschluss: 31.07.2020

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