Particle Straining in Vuggy Media with CT Images and Flow Data

Medical CT images at 250 micron resolution capture particle straining in vuggy proxy media before and after injection. Experiments include two flow rates (40 and 60 ml/min) and three particle concentrations (0.5%, 1%, and 2%). The dataset was created by Hasan Javed Khan at The University of Texas at Austin.

Use Cases

• Modeling permeability reduction based on porosity change data derived from CT images.
• Analyzing particle straining efficiency based on effluent volume ratios for different flow configurations.
• Training image segmentation models to identify vug surfaces from before-and-after CT scans.
• Correlating flow rate and particle concentration with permeability vs. time measurements in different core zones.

Strengths

• Includes raw CT image data at a specified resolution of 250 microns.
• Experiments cover multiple controlled variables: two flow rates and three particle concentrations.
• Provides derived metrics like porosity change, vug surface area, and permeability vs. time.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and overall dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Hasan Javed Khan, The University of Texas at Austin

Collection Method

Experimental data generated by sintering glass beads with salt inclusions, followed by dissolution and particle injection. Data gathered using a medical CT scanner.