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John McGaughey - Towards integrated interpretation

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John McGaughey, CEO/President of Mira Geoscience offers his thoughts and the practices of integrated geophysical interpretation at the 3D Interest Group

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John McGaughey - Towards integrated interpretation

  1. 1. © 2016 Mira Geoscience Ltd. Towards Integrated Interpretation John McGaughey CENTRE FOR EXPLORATION TARGETING PERTH, OCTOBER 2016
  2. 2. • target (x, y, z) = f (geology, alteration, structure, geochemistry, geophysics, …) Drillhole targeting
  3. 3. Geohazard courtesy Glencore hazard (x, y, z, t) = f (rock quality, geometry, stress, seismicity, geology, …)
  4. 4. Geohazard November 6, 2003 March 4, 2004 June 3, 2004 August 19, 2004 August 29, 2004 November 30, 2004 July 7, 2005 July 24, 2005 August 16, 2005 October 27, 2005 October 31, 2005 April 3, 2006 May 21, 2006 September 11, 2006 June 22, 2007 December 1, 2007 March 4, 2008 April 19, 2008 December 24, 2008 courtesy Glencore
  5. 5. The petroleum industry experience • exploration is model-driven, evidence-based • integrated interpretation: one common earth model consistent with geological, geophysical, geochemical, petrophysical data • validation is essential
  6. 6. Integrated interpretation – what we’ve learned • multi-disciplinary, interpretive at every step, iterative • geoscientific judgement is more important than computational details • the right tools are important; the right team is more important • culture change is required to break sequential workflows • formal planning is required to connect objectives to interpretation “The deployment of 3D earth modelling technology in daily operational work will require changes in paradigms and work processes.” - Garrett et al. (1997)
  7. 7. Where are we going? • dedicated focus on each key step in the process: • planning and data management • integrated interpretation and validation • communication, collaboration and analysis • build the skilled, multi-disciplinary team required as leaders to deliver software, training, workshops, consulting services • develop a software ecosystem to support this vision through third-party relationships and internal software development
  8. 8. geophysical data geological data inversion model geological modelwhat is the connection? Conventional 3D modelling
  9. 9. Integrated interpretation • model creation, update • model validation Flin Flon Mining District, Manitoba and Saskatchewan. NRCAN Open Government licence observed data final model geometry correction starting model
  10. 10. Integrated Interpretation - Mutaroo Regionally extensive magnetite-bearing sedimentary strata within Minotaur’s Mutooroo project area. Example of developing a geologically-based model through geophysical modelling. Under cover Inputs - High resolution aeromagnetic survey data - 7 Drill holes (depth of cover constraint and magnetic susceptibility).
  11. 11. Integrated Interpretation - Mutaroo • interpret and model subsurface domains…
  12. 12. Model Validation 54000.0 56000.0 58000.0 60000.0 62000.0 64000.0 66000.0 TMI (nT) 485000 E 485000 E 487500 E 487500 E 490000 E 490000 E 6 405 000 N 6 405 000 N 6 407 500 N 6 407 500 N 6 410 000 N 6 410 000 N 6 412 500 N 6 412 500 N 54000.0 56000.0 58000.0 60000.0 62000.0 64000.0 66000.0 TMI (nT) 485000 E 485000 E 487500 E 487500 E 490000 E 490000 E 6 405 000 N 6 405 000 N 6 407 500 N 6 407 500 N 6 410 000 N 6 410 000 N 6 412 500 N 6 412 500 N • homogeneous domain forward modelling • correspondence with observed data validates modelled domains Observed Calculated
  13. 13. Integrated Interpretation - Mutaroo Courtesy Minotaur Exploration
  14. 14. The technical team • exploration project management • economic geology • resource evaluation • structural interpretation • structural restoration • geophysics • geochemistry • geotechnical engineering • targeting • analytics / machine learning • software design and development
  15. 15. Effective modelling for decision making value • organizing and documenting the inputs, outputs, and process • transforming data into a consistent 3D model • communication, collaboration, analysis data management integrated interpretation: the 3D model communication, collaboration, analysis GOCAD®
  16. 16. 3D/4D Data Sets Monitoring 3rd Party Databases Project Files Documents Email Reports 3D Visualization Machine Learning Web Browser Access Geoscience INTEGRATOR
  17. 17. SKUA-GOCAD Mining Suite • multi-disciplinary modelling • fully integrated: equal standing of geological, geophysical, geochemical, petrophysical data • input can be raw data or basic models from silo platforms courtesy Glencore
  18. 18. SKUA GOCAD Mining Suite – New Bundles Mining Essentials Mining Basic Mining Integrated Interpretation Mining Advanced Geophysics Mining Stratigraphic Modelling 3D viewer,GIS, modelling, utils 3D viewer,GIS, modelling, utils 3D viewer,GIS, modelling, utils 3D viewer,GIS, modelling, utils 3D viewer,GIS, modelling, utils maps, sections, log display maps, sections, log display maps, sections, log display maps, sections, log display maps, sections, log display section analysis, interp, correlation section analysis, interp, correlation section analysis, interp, correlation section analysis, interp, correlation volume explorer, seismic interp volume explorer, seismic interp volume explorer, seismic interp SKUA structural implicit modelling SKUA structural implicit modelling SKUA structural implicit modelling 3D voxet and sgrid geostatistics geophysical 3D grid construction SKUA stratigraphic and fault analysis potential fields forward modelling geophysical forward modelling SKUA geologic grids, geostatistics Sparse parametric modelling, ioGas, targeting workflow geophysical inversion
  19. 19. Geoscience ANALYST 3D drillhole and geologic map database of the Flin Flon Mining District, Manitoba and Saskatchewan. NRCAN Open Government licence
  20. 20. Integrated Interpretation - strategic R&D investment • Centre for Excellence in Mining Innovation (CEMI): • “Mining Observatory Data Control Centre” • Ultra Deep Mining Network (UDMN): • “4D Real-Time Geotechnical Hazard Assessment…” • Canadian Mining Innovation Council (CMIC): • “Integrated Multi-Parameter Footprints of Ore Systems…” • National Research Council (NRC-IRAP): • “MinSim: A Mineral Exploration Simulator” • INRS / MITACS Accelerate Program: • “…Statistical Algorithms”
  21. 21. Footprints Project - Research Problems Test the following hypotheses: 1. Methods of machine learning applied to large, complex mineral exploration data sets will yield recognition of new multi-variate relationships. 2. Methods of interpreting new multi-variate relationships can characterize domains of mineral system footprints. 3. Methods of interpreting spatial relationships amongst footprint domains will result in new methods for vectoring toward the mineral system core.
  22. 22. Data Integration Objectives Development of data integration methods: 1. methods of managing multi-disciplinary exploration data 2. methods of representing data through 3D models 3. methods of representing 3D models to machine learning 4. methods of machine learning for footprint recognition 5. methods of vectoring based on footprint recognition
  23. 23. Input to Machine Learning In what form? • a computer model of wireframe surfaces and points • wireframe surfaces: faults, contacts, domain boundaries • points: (x, y, z, property 1, property 2, …. property n) What information does the CEM contain? • lithology, alteration, structure, geochemistry, mineralization, physical properties, geometry, topology
  24. 24. Research Methods (obs 1, x, y, z, property 1, property 2, … property n) (obs 2, x, y, z, property 1, property 2, … property n) (obs 3, x, y, z, property 1, property 2, … property n) Are there patterns amongst the properties that enable us to group observations in a meaningful way?
  25. 25. Strategic R&D investment
  26. 26. Towards integrated interpretation • it will happen—similar drivers exist in today’s mineral industry as existed in the oil industry when conventional resources became scarce • technology, methods, and culture will evolve to meet the challenge • for Mira Geoscience, it means we are growing • R&D investment • building the team

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