---

## 1. Raw Image Sequences

### `Raw_image_sequence_visual_record_progressive_clogging_basecase_real_time`

This folder contains the raw images acquired during a representative base-case
experiment "150mbar_0.3%_6micrometer_particles" at 24 frames per second (fps). The image sequences provide a direct visual record of particle transport,
deposition, and progressive pore clogging at real experimental time.


---

## 2. Video Visualization

### `Pore-clogging_video_at_basecase_120_fps`

This dataset contains video files generated from the raw image sequences at 120 frames
per second. The videos are intended for qualitative visualization of clogging dynamics,
including particle accumulation, bridge formation, and flow reorganization inside the
porous domain.

---

## 3. Final Stitched Images

### `Final_stitched_images_showing_complete_clogging_at_different_experimental_conditions`

This folder contains stitched images of the entire porous domain at late experimental
times, highlighting the final clogging state reached under different experimental
conditions. These images are used to compare spatial clogging patterns across experiments.

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## 4. Internal Pore Statistics

### `Internal_pore_statistics`

This dataset includes quantitative pore-scale metrics extracted from image analysis,
such as pore size distributions and constriction widths of the porous network. 
These statistics are used to relate pore geometry to clogging mechanisms.

---

## 5. Permeability Decline

### `Permeability_decline`

This folder contains processed ensuring data describing the temporal evolution of
 normalized flowrate which is presented as normalized permeability during clogging. The data are derived from a controlled imposed pressure
 and flow-rate measurements and quantify permeability impairment as a
function of time.

---

## Notes


Further details on the experimental setup, flow protocol, and image analysis workflow are
provided in the published paper "Permeability impairment by hydrodynamic pore bridging:1
probabilistic pore-network modeling and microfluidic experiments" in International Journal of Rock Mechanics and Mining Sciences.
Author: Walid OKAYBI
Mail: walid.okaybi@cnrs-orleans.fr