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Multiscale modeling algorithm for core images.

Zhengji Li1,2, Xiaohai He1, Qizhi Teng1,3

  • 1College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China.

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|June 25, 2020
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Summary
This summary is machine-generated.

A new multiscale core CT image fusion reconstruction algorithm combines super-resolution and 3D reconstruction. This method effectively fuses large and small core images, improving pore structure clarity and global representation for better analysis.

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Area of Science:

  • Geology
  • Image Processing
  • Materials Science

Background:

  • Computed tomography (CT) imaging of core samples faces limitations: large samples lack detail, while small samples lack global representativeness.
  • Accurate characterization of pore structure and morphology is crucial for understanding rock properties and behavior.

Purpose of the Study:

  • To develop a multiscale core CT image fusion reconstruction algorithm addressing the limitations of single-scale imaging.
  • To enhance the clarity and global representativeness of core CT images for improved analysis.

Main Methods:

  • A novel algorithm combining super-resolution and 3D reconstruction techniques for multiscale CT image fusion.
  • Utilizing large-scale core images for global features and small-scale images for fine texture and pore distribution.
  • Employing blind image quality assessment, multilevel pattern mapping dictionaries (local binary patterns), and adaptive weighted reconstruction.

Main Results:

  • Successfully fused CT images of the same core sample at different scales, preserving both large-scale and small-scale information.
  • Reconstructed images showed good agreement with actual rock microstructures across various sample types.
  • The enhanced images provide a more comprehensive understanding of core samples.

Conclusions:

  • The proposed multiscale fusion algorithm effectively overcomes the resolution-detail trade-off in core CT imaging.
  • This method enables more accurate characterization of pore structures and informs precise parameter calculations.
  • The technique offers a significant advancement for geological and materials science research involving core analysis.