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Mineral Exploration Symposium
- Conference date: September 17-18, 2020
- Location: Virtual Event
- Published: 17 September 2020
21 - 26 of 26 results
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Comparing sulfide trace elements and sulfur isotopes of Au-only and atypical orogenic mineralization from northern Finland
Authors M. Vasilopoulos, F. Molnár, H. O’Brien and Y. LahayeSummaryThe Paleoproterozoic Central Lapland Greenstone Belt (CLGB) in northern Finland is an important metallogenic belt that hosts several orogenic Au deposits, some of which are also enriched in base metals (Cu, Co, Ni). Most of the deposits are spatially associated with two major structures: the east-west trending Sirkka Shear Zone and the NNE-trending Kiistala Shear Zone. In this study we investigate two deposits that are spatially associated with these two major structures, namely the Hirvilavanmaa Au-only deposit and the atypical Naakenavaara Au-Cu-Co-Ni deposit. The trace element and sulfur isotope characteristics of sulfides prove to be effective in discriminating between these two different types of mineralization in the CLGB. Results indicate that fluids of different origins and characteristics were responsible for these two types of mineralization. Strongly contrasting sulfur isotope values of sulfides indicate different sources of sulfur. Finally, in the polymetallic Naakenavaara deposit, multiple mineralizing events are recorded in different pyrite generations that can be distinguished by systematic variations in several trace element contents.
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Recent developments in airborne geophysics, with particular reference to European and EU-funded projects
By T. ArcherSummaryAirborne geophysics is a powerful tool for risk reduction on European and EU-funded mineral exploration projects. Available methods are rapid and cost-effective, requiring little or no ground access, and have low environmental impact. Recent developments include new technologies, better resolution, and drone platforms. We present several recent example surveys.
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A European Perspective on Evolving Standards for Public Reporting on Mineral Exploration Results
Authors E. Sides, S. Henley and R. AllingtonSummaryReliable information on mineral exploration, mineral resources and mineral reserves is important for informing decision makers and to protect investors and the public. The PERC Reporting Standard provides a framework for consideration of such aspects from a European perspective, as well as influencing the development of consistent international standards through PERC’s membership of CRIRSCO. The CRIRSCO-family of international codes and standards are continually evolving. In the current update cycle of the PERC Reporting Standard attention is focussed on incorporating additional guidance on the reporting of environmental, social and governance issues, as well as the need to discuss sources of risk and uncertainty.
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Technology watch of airborne mineral exploration methods
Authors S. Ruiz-Coupeau, M. Keßelring, B. Jürgens and V. Herrero-SolanaSummaryThis study presents a bibliometric study on patents and scientific publications related to a selection of airborne mineral exploration methods: airborne electromagnetic methods, airborne gravity gradiometry, airborne magnetometry and drone-borne hyperspectral imaging. A statistical analysis of the documents reveals the main players, technology trends and collaboration patterns via bibliometric techniques.
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Evaluating the correlation between ground information and satellite spectral data by geostatistical tools
Authors R. Bruno, S. Kasmaeeyazdi, F. Tinti and E. MandaniciSummarySatellite information opened new scenarios for planet surface mineral exploration. Hyperspectral information brought by sensors on board potentially help identifying and measuring concentrations of an element if an accurate calibration is done, based on available ground sampling. The correlation study is one of the most delicate phases when using satellite images for improving the models’ quality of surface distribution of a target variable. Geostatistics offers a wide variety of powerful tools for a deep study of these correlations. A short case study is reported as an example where it was identified the most correlated spatial component by a multivariate structural analysis.
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Multisensor drill core logging integrating XRF and SWIR sensors to support machine learning
SummaryAn innovative computer assisted drill core logging system has been developed based on the integration of a SWIR spectral imaging system and a systematic XRF analytical probe. The system has been trained on mineralisations from the Iberian Pyrite Belt. The use of deep learning algorithms allows to obtain consistent logging results
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