Deep Dive Virtual Workshop 1. Digital Rock Analysis - 1. Data Collection

There are many data collection parameters to consider. The X‑ray voltage and filter contribute to the image contrast and beam hardening artifacts. The scan time affects the signal-to-noise ratio. And the resolution needs to be carefully selected to run accurate simulations. In this episode, we will go into the lab and compare different data collection settings. Then we will review how to collect high-quality CT images of a drill core that can be used for digital rock analysis.

In this workshop, you will learn:

• How to assess the resolution required for digital rock analysis
• How to collect high-quality CT images of drill cores
• How to evaluate the image quality for digital rock analysis

Resources

 Download: CT data collection checklist for Digital Rock Physics

 Download: Presentation slides - Digital Rock Analysis - 1. Data collection

• CT scanner: CT Lab HX
• Analysis software: GeoDict by Math2Market
• Digital Rock Physics by Dr. Jens-Oliver Schwartz (GeoDict User Meeting 2020 recording)
• Blog article: How to Improve the Signal-to-noise Ratio of X-ray CT Images
• Blog article: How to Improve the Resolution of X-Ray CT Images
• Saxena et al., Imaging and computational considerations for image computed permeability: Operating envelope of Digital Rock Physics, Advances in Water Resources, 116, 2018, p. 127-144, https://doi.org/10.1016/j.advwatres.2018.04.001
• Rumpf et al., Einflüsse der Porosität und Korngrößenverteilung im Widerstandsgesetz der Porenströmung, Chemie Ingenieur Technik, 1973, 43(6), p. 367-375, https://doi.org/10.1002/cite.330430610
• Saxena et al., References and benchmarks for pore-scale flow simulated using micro-CT images of porous media and digital rocks, Advances in Water Resources, 109, 2017, p. 211-235, http://dx.doi.org/10.1016/j.advwatres.2017.09.007
• Introduction to Rock Properties by Prof. Robert Zimmerman at Imperial College London - Course Notes
• Empirical data source: Wisconsin Geological and Natural History Survey
• Empirical data source: PetroWiki
• Sample digital rock data: Digital Rocks Portal