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Related Concept Videos

Pore Size Distribution01:23

Pore Size Distribution

229
In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio.
Adequate...
229
Porosity and Absorption of Aggregate01:20

Porosity and Absorption of Aggregate

443
Aggregates contain pores of varying sizes; while some are completely enclosed within the particles, others open onto the surface, allowing water to penetrate. The porosity of aggregates is a major factor contributing to the overall porosity of concrete, given that aggregates constitute about three-quarters of concrete's volume.
When all pores in an aggregate are filled with water, the aggregate is considered saturated and surface-dry. If left in dry air, water will evaporate until the...
443

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Related Experiment Video

Updated: Oct 6, 2025

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
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Pore scale image analysis for petrophysical modelling.

Arnab Kumar Pal1, Siddharth Garia1, K Ravi1

  • 1Department of Civil Engineering, Indian Institute of Technology, Guwahati, 781039, India.

Micron (Oxford, England : 1993)
|January 20, 2022
PubMed
Summary
This summary is machine-generated.

Image analysis of Field Emission Scanning Electron Microscopy (FESEM) images accurately characterizes reservoir rocks. This method quickly determines porosity and permeability from small rock samples, aiding reservoir description.

Keywords:
Digital image analysisPermeabilityPorosityScanning electron microscopy

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Area of Science:

  • Geosciences
  • Petrophysics
  • Image Analysis

Background:

  • Sedimentary rocks possess complex pore systems influenced by diagenesis.
  • Conventional methods quantify reservoir properties but lack microstructural detail.
  • Digital image analysis offers insights into pore types and connectivity.

Purpose of the Study:

  • To demonstrate the efficacy of image analysis for reservoir rock characterization.
  • To analyze Field Emission Scanning Electron Microscopy (FESEM) images of sandstone and carbonate samples.
  • To evaluate porosity and permeability using digital image techniques.

Main Methods:

  • Digital image analysis applied to FESEM images of rock samples.
  • Porosity calculation based on pore percentage in images.
  • Permeability estimation using the Kozeny-Carman equation.
  • Development of statistical equations to correlate parameters.

Main Results:

  • Distinction between open and closed porosities achieved.
  • Image-derived porosity shows agreement with conventional measurements, especially at extremes.
  • Thresholding identified as crucial for accurate digital image porosity evaluation.

Conclusions:

  • FESEM-derived image analysis provides accurate reservoir characterization based on pore networks.
  • The methodology offers advantages for rapid porosity and permeability calculation from drilling samples.
  • This approach enhances reservoir description and characterization using image-derived petrophysical data.