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Advanced Fusion of Experimental Image Data and Numerical Calculations for Predicting Material Properties

Conductivity, permeability, and bulk modulus validated through matching experimental data to accurately predict complex materials' properties. Illustrates feasibility of combining 3D image data with numerical calculations. Core-scale vs. Pore-scale analysis. Volumetric sensitivity analysis at various scales. Image registration for quality control and petrographic/mineralogical information integration. Enables repeat experimental procedures. Characterization of coal porosity, cleats, and fractures. Multiple scale registration and reactivity analysis.

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Advanced Fusion of Experimental Image Data and Numerical Calculations for Predicting Material Properties

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  1. Validation is through matching experimental data Conductivity Permeability Bulk Modulus Illustrates feasibility of combining 3D experimental image data with numerical calculations to accurately predict properties of complex materials

  2. 1000 m 0.1 m 1000 m 0.025 m 0.005 m 5000 m Core-scale vs. Pore-scale 4 wells 1km apart with 500 metres of core each well. Volumetric sensitivity: O[1 ppb] 4 core plugs100 m apart with one mini-plug each Volumetric sensitivity: O[1 ppm]

  3. Image registration • Provide quality control on 3D image data • Enables introduction of automated petrographic / mineralogical information into 3D image data • Enables repeat ex situ experimental 2D to 3D 3D to 3D

  4. Coal characterisation of connected porosity, cleats, and fractures at 9μm res.

  5. Tight gas rock Dry tomo Wet tomo difference tomo SEM

  6. Multiple Scale Registration: 1 ½ inch plug (20 micron resolution) registered to 4mm sample (2 micron resolution)

  7. Reactivity: Mardie Green Sand – Barrow Is, WA After exposure to CO2 equivalent Native state (0.5 mm) Using analogue fluids Courtesy of Rowan Romeyn (Hons. student).

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