Application of Automated detection techniques in Magnetic Data for Identification of Cu-Au Porphyries

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1 Application of Automated detection techniques in Magnetic Data for Identification of Cu-Au Porphyries August 2010

2 Introduction 1. Background 2. Porphyry MagneticSignatures 3. Filter Theory -Exploration 4. Application Examples 5. Summary. Where to next?

3 Background What? Research agreement between CET and Barrick signed in 2008 to solefund Porphyry Texture Filter Why? Au rich porphyry focus Magnetic coverage available over most projects capitalise investment Rapid objective analysis of large datasets with strong geological context Discrimination within highly magnetic terrains How? Automatically detect and quantify porphyry magnetic signatures via user defined application of porphyry target model and remove the dependency on finding the bump

4 Porphyry Idealised Signature Host Lithology Dominant Alteration Dominant Host Lithology Dominant Modified from Clark 1992 Propylitic Potassic Phyllic Phyllic Propylitic

5 Porphyry Idealised Signature Surface Alteration RTP Magnetics H15 H14 500m 500m

6 Theory Basics 1. CIRCULAR FEATURE DETECTION Define radius and shape of target porphyry Enhance target response Suppress non-circular features Output RST grid 2. FEATURE VALIDATION Define expected magnetic contrast Pass features meeting criteria Assign threshold strength and radius to each centre Grid and database product 3. BOUNDARY SPLINES Select appropriate threshold from feature validation Quantify outer edge of alteration dominant zone Polygon file output

7 Theory Simple Example Centre of Symmetry Seed Radius Final Boundary Input RTP Grid Radial Symmetry Magnetic Contrast Magnetic Contrast Contrast Radius Final Product

8 Application Considerations MAGNETIC DATASET Gridded and of appropriate scale Reduced to Pole Inducing Field No need for excellent data quality GEOLOGICAL/TARGET SETTING Structural regime geometry Host lithologies Target characterisation shape, size, contrast Depth of emplacement

9 Application -Grasberg Grasberg Ertsberg Dom Modified from Meinert et al 1997

10 Application - Grasberg Grasberg Ertsberg Dom RTP Modified from Meinert et al 1997

11 Application - Grasberg Central of radial symmetry Grasberg Ertsberg Dom Analytical Signal Grasberg Ertsberg Radial Symmetry Dom

12 Application - Grasberg Grasberg Ertsberg Dom Final Boundary Output Contrast Enhanced Central of radial symmetry

13 Application -Grasberg Grasberg Ertsberg Dom Geology & Boundaries

14 Application -Exploration Known Porphyry

15 Application -Exploration Radial Symmetry Magnetic Contrast RTP + Boundaries

16 Application -Exploration Target? Known Porphyry 2km

17 Filter Limitations TARGET CRITERIA REQUIRED Requires some knowledge of geology Existing porphyry in data significant RTP REQUIRED Remanence Low latitudes LEARNING CURVE Familiarisation time required

18 Filter Advantages REJECTS NON-CIRCULAR NOISE Noisy data has reduced impact Differentiate edge gradients SIGNIFICANT USER INPUT Geologically robust Tuned High rate of prediction for known porphyries INTERMEDIATE PRODUCTS Simple analysis on the fly Suite of results

19 Filter Advantages QUANTIFICATION Integration into GIS packages Qualitative and quantitative EASE OF USE Operates in Geosoft environment Fast and objective

20 Conclusions A successful research project which has given an additional layer for porphyry exploration. Actively applied to all Barrick projects with ground truthing demonstrating continued success.

21 Acknowledgements University of Western Australia and the Centre of Exploration Targeting Barrick Gold Technical Group My Family

Simon Crosato, Brendan Howe. capable of producing meaningful results in a variety of target regimes at all scales and geological environments.

Simon Crosato, Brendan Howe. capable of producing meaningful results in a variety of target regimes at all scales and geological environments. Meeting Geophysical Challenges: Application of automated detection techniques in magnetic data for identification of Cu-Au porphyries in covered or magnetic terrains Matthew Hope, Barry Bourne Simon Crosato,