coompana regional surface geochemistry: overview and a...
TRANSCRIPT
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Ryan NoblePrincipal Research ScientistCSIRO 26 Dick Perry Ave, Kensington, Western Australia 6151P +61 8 6436 8684 | M 0400 239 [email protected] | www.csiro.au
MINERAL RESOURCES
Coompana regional surface geochemistry: overview and a paradigm shift for
sampling and analysis
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Project Team and Acknowledgements
• Ryan Noble, Ignacio Gonzalez Alvarez, Nathan Reid, Tenten Pinchand, Dave Cole, Jesse Robertson, Alistair White, Tania Ibrahimi, Ian Lau, Jens Klump
• Carmen Krapf, Chris Wilcox, Rian Dutch, Amy Lockheed, Liz Broadridge, Lynn Jagodzinski, Ian Hopton
Support from
• James Cleverley, Des Pascoe (Imdex) – Field prep gear
• Genevieve Rueger, Hamish Burns, Matt Stephenson (Aerotech)
• Anton Mundy, Clem Laurie (Traditional Owner Monitors)
• Paul Morris (GSWA)
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Surface geochemical mapping7 days310 sitesAnalysis and infill sampling on-the-fly
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Characterise the unknown
Biogeochemistry test work (2014)
Develop an optimised (“best”) practice
Six profiles to inform sampling and QAQC
Background and reconnaissance
FROM: Dunn CE and Waldron H 2014. Regional biogeochemical survey of the Eucla Basin, South Australia, Report Book 2014/00025. Department of State Development, South Australia, Adelaide.
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• 6 mins per site (+4 mins travel/refuel)• 280 samples on 4 km spacing 80 x50 km area • 5 sample collected at each site • IGSN/FAIMS – all integrated in tablets and QR
code labels
Optimised Sampling
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• Data capture and backup (FAIMS) –no more lost or missing sites or matching up photos/bags
• Vegetation
• Bladder salt bush Atriplex vesicaria
• Pearl blue bush Maireana sedifolia
• Soils x 2 (crust and 5-10 cm)
• Rock
In the field
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How it’s done (~10 mins into 20 seconds)
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Meanwhile back at base camp
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How it’s done (~5 mins into 20 seconds)
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24 hours lag timeOptimised QAQC especially for pXRF• 5 mins per soil sample – prep/pXRF/ASD• Geochem maps/ model updated daily• Machine learning with existing
precompetitive data• Added infill sampling with 36 points on 1
km spacing
Results on-the-fly from the portable lab
% K by sampling day
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Evening analysis interpretation/discussion
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Some results after Day 1
Results after Day 7
Infill area identified and sampled on Day 7
The model driven approach
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• Maps and models done, gear and samples packed, home time
Day 8
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Using a data driven probabilistic model to assist regional characterisation
• A Gaussian Process Regressor models the relationship between geospatial data (160 features) and pXRF geochemistry data
• ASD was not incorporated into the model this time
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Day 1 Model
Day 3 Model
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Day 5 Model
Day 7 Model
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The field geochemical results
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Increase of clays?
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Estimate of kaolinite using the 2200nm absorption
ASD does not clearly support that idea
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Change in limestone unit (guided from the model)
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Does this match the S biogeochemistry?
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Does Fe match regolith landform features?
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Based on absorption in the 800-1000nm region
ASD more supportive here
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Based on the wavelength of the iron oxide absorption, lower is hematite, higher is goethite
ASD also gives clues to shift in Fe phases that pXRF does not
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The challenge of pXRF (sorry explorers… for now)
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Work to be done
Soil, plant and rock analysis in “regular” time
• Includes ultrafine fraction workflow
• Landscape model/setting with some down hole and mineralogical analyses
Optimisation testing with “smart sampling” and related cost benefit analysis
Integration of spectral/particle size with “other data”
Data and report release with industry workshop day (early June TBA)
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The future of a regional geochemical workflow
24 hrs
Element X
Infill target identified
Samples collected, analysed and modelled (in batches) to adjust sampling
• Could this be done between sites?
• A variant of “smart sampling” becomes the industry norm instead of grids
• Anomaly recognition for exploration is the next challenge (not background variation) once regional background is determined
• Model/field lab to include other analyses ASD, LIBS, pXRD
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Ryan NoblePrincipal Research ScientistMineral ResourcesPhone: 08 6436 8684Email: [email protected]: www.csiro.au
On behalf of the project team, thank you for your time
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