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Christopher M. Yeomans1,2 Doctoral Researcher

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Presentation on theme: "Christopher M. Yeomans1,2 Doctoral Researcher"— Presentation transcript:

1 Christopher M. Yeomans1,2 Doctoral Researcher
1 Camborne School of Mines, University of Exeter 2 British Geological Survey, Keyworth

2 Overview PhD Research Aims
BGS PhD Research Aims To use cluster analysis and Self-Organising Maps (SOMs) for remote mapping in difficult regions To conduct a prospectivity analysis of the region using newly derived data CSM Additional roles Teaching GIS, field mapping and supervising MSc students Developing the use of tablet computing for field-based teaching I aim to develop novel mapping techniques which will improve our understanding in areas of low outcrop exposure, furthermore, the re-mapping of this area may help to enhance our understanding on granite distribution in a world-class Sn-W[±Cu,Pb,Zn,U,Ag…] mining region Other research interests Ore deposit geology Geothermal energy exploration

3 Airborne radiometric data from the Tellus South West survey
SW England region Geological interests Complex structure Permian Granites (Cornubian Batholith) Magmatic-hydrothermal mineralisation (W-Sn) Bodmin My data Airborne radiometric data Airborne magnetic data Airborne LiDAR data Stream-sediment geochemistry Soil geochemistry Any other free data! 50 km Airborne radiometric data from the Tellus South West survey

4 Critical metal associations
Simons et al. (2013) Sb, Bi and W historically mined W, Sn and In are potential by-products from prospects such as Drakelands, Redmoor and South Crofty Different granite types host different critical metals suites Can we find them? Rapidly? N.B. It may not be a magmatic process that concentrates these elements Biotite Li-mica Li Ga Nb Ta W Be Ge As Cd In Sn Sb Chalcophile Lithophile

5 Airborne radiometric data from the Tellus South West survey
Radiometric data over Bodmin Moor Known geochemical anomalies for W and Sn Airborne radiometric data (Tellus South West) Stream-sediment geochemical data (G-BASE) Existing maps Sum-normalised data reduces noise eU is oxidised in oxic conditions, peat is anoxic therefore eU is elevated Th/K K/(K+Th) Th/ (K+Th) Key aspects Green/Blue (high eTh) outer rim, Red (high K) inner core NW area now shows moderate K Bodmin Field ‘brash’ Tors Phoenix Tin Mine Key aspects – relative abundances Using sum-normalised K and eTh and Th/K No eU 50 km K > Th Airborne radiometric data from the Tellus South West survey Th > K SE Bodmin Moor looking north towards Phoenix Tin Mine (Photo courtesy of B. Simons) 10 km

6 Wider applications of research and skills
Cluster analysis and SOMs can be applied to nearly any geospatial data Different data types can be integrated to improve the accuracy of SOMs Airborne radiometric data basic method in U and REE exploration Other skills: GIS analysis Database management Digital field techniques R-statistics Effective data presentation Second bullet – mention effects of attenuation over peat. Differentiate between high eTh granite and what ? 50 km


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