Peter Schaubs - GeoLena November 11, 2015
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Peter Schaubs (CSIRO) presents 'GeoLena' synthetic modelling platform for benchmarking geodata analytical techniques and for testing process modelling
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Peter Schaubs - GeoLena November 11, 2015
- 1. reactive transport modelling geostatistical simulation Real World How to synthesize? geologist’s interpretation + interpolation deformation and fluid flow modelling
- 2. Why use numerical models? • Serves two purposes: • Creates a synthetic data model based in part on drill hole data and using geologic processes – Can be used to test or compare other algorithms/geostatistics • Through the process of creating the numerical model we are using input data more robustly – Creating better numerical models – Comparing with drill hole data directly Presentation title | Presenter name2 |
- 3. Issues • Data density/mesh resolution • Have we modelled the correct geologic processes Presentation title | Presenter name3 |
- 4. Types of Numerical Models • Reactive Transport modelling • Numerical simulations which integrate chemical reactions with transport of fluids through the Earth‘s crust – -heat transport – -fluid transport – -chemical reactions • Deformation – fluid flow modelling • No heat or chemistry
- 5. Reactive Transport Modelling Gold > 0.1 g/t Spatial mineral maps … … model the Geophysics
- 6. Reactive Transport modelling? • What can we use to compare models and data • Presence or absence of minerals • Alteration assemblages • Changes in element abundance • Do we have the capability?
- 7. Deformation – fluid flow modelling? • What can we use to compare models and data • Relative amounts of strain • Stress and/or vein orientations • Vein density • Distribution of alteration based on integrated fluid flux – very much a proxy. Presentation title | Presenter name7 |
- 8. Workflows Defining the question Pre-processing Meshing and model setup Running the models Post-processing Visualisation and interpretation
- 9. Mine-scale numerical model – cutaway
- 10. Dilation (positive volume strain) Integrated fluid flux (cumulative fluid flow) Dilation – volume strain
- 11. Principal stress orientations – vein orientations σ3 σ1 σ3 σ1 N-S folding model Cross-section of principal stress ellipsoids View to the west
- 12. Minimum Principal stress orientations – vein orientations
Notes de l'éditeur
- Reasons haven’t changed. The rationale is still the same as we’ve been talking about for the last 10-15 years through out the AGCRC and the pmdCRC To reduce the limitations in the type of conceptual models that the geologist can test Expanding the types of ‘what if” scenarios that we can run The formation of ore-deposits involves the complex interaction between deformation, fluid flow, heat transport and chemical reactions (and associated physical processes) and the dependence of material properties on those processes. In order for geologists to test the importance of these interactions and the influence of individual processes (and parameters) they must have a suite of computational simulation tools to carry out numerical experiments and to test “what if” scenarios”. Most geologists active in ore-deposit geology or in the exploration for these deposits are not however experts in writing computer code. More importantly they are more interested in answering the geologic questions than spending their time setting up models or wrestling with access to supercomputers. This project aims to continue the task of developing computational tools which are sufficiently sophisticated to simulate complex coupled geologic processes yet still allow geologists to get on with studying ore-deposits
- Reasons haven’t changed. The rationale is still the same as we’ve been talking about for the last 10-15 years through out the AGCRC and the pmdCRC To reduce the limitations in the type of conceptual models that the geologist can test Expanding the types of ‘what if” scenarios that we can run The formation of ore-deposits involves the complex interaction between deformation, fluid flow, heat transport and chemical reactions (and associated physical processes) and the dependence of material properties on those processes. In order for geologists to test the importance of these interactions and the influence of individual processes (and parameters) they must have a suite of computational simulation tools to carry out numerical experiments and to test “what if” scenarios”. Most geologists active in ore-deposit geology or in the exploration for these deposits are not however experts in writing computer code. More importantly they are more interested in answering the geologic questions than spending their time setting up models or wrestling with access to supercomputers. This project aims to continue the task of developing computational tools which are sufficiently sophisticated to simulate complex coupled geologic processes yet still allow geologists to get on with studying ore-deposits