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Related Concept Videos

Sampling Plans01:23

Sampling Plans

244
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
244

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Related Experiment Video

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Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
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Methodology for quantitative rock characterisation using multiple imaging systems and random particles generation.

Pia Lois-Morales1,2, Catherine Evans3, Dion Weatherley2

  • 1The University of Chile, Faculty of Physical and Mathematical Sciences, Department of Mining Engineering, Santiago, Chile.

Methodsx
|August 29, 2022
PubMed
Summary
This summary is machine-generated.

Advanced rock characterization methods now integrate multiple techniques for detailed mineralogical and textural analysis. This multisource approach overcomes limitations of single devices, improving process response predictions.

Keywords:
Image processingOre characterisationTexturemineralogy

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Area of Science:

  • Geoscience
  • Materials Science
  • Mineralogy

Background:

  • Traditional mineral characterization relies on qualitative optical microscopy.
  • Emerging quantitative techniques include Scanning Electron Microscopy (SEM) and X-ray microtomography.
  • Rock texture and mineralogy significantly influence processing plant behavior and economic viability.

Purpose of the Study:

  • To develop a multisource method for comprehensive rock characterization.
  • To integrate various techniques for a holistic understanding of rock properties.
  • To link mineralogy and texture to process response.

Main Methods:

  • A multistage imaging process utilizing 2D and 3D microscopes.
  • An object-segmentation technique for quantifying mineralogical and textural properties from photomicrographs.
  • A segmentation technique to create particles of varying sizes from larger images.

Main Results:

  • Successful development of a multisource rock characterization method.
  • Ability to generate detailed information on mineralogical composition, grain size, and shape.
  • Demonstration of an integrated approach to overcome single-device limitations.

Conclusions:

  • The integrated use of complementary techniques is essential for comprehensive rock characterization.
  • The developed multisource method provides a suite of information linking rock properties to process response.
  • This approach enhances the understanding of how mineralogy and texture affect project economics.