Hydrodynamic pore-bridging and permeability impairement in heterogeneous porous media: microfluidic data-set

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Authors: Walid Okaybi, Cyprien Soulaine, Sophie Roman, Laurez Maya Fogouang, Emmanuel Le Trong
Cited by: 0

Abstract

This dataset contains microfluidic experimental data quantifying permeability impairment caused by hydrodynamic particle bridging in a heterogeneous, tortuous porous micromodel. Experiments are performed in PDMS devices under controlled pressure drops while varying particle diameter and suspension concentration. The dataset includes time-resolved flow-rate and permeability evolution, particle size distributions (PSD), constriction size distributions (CSD) extracted from the geometry, and stitched end-state images after complete clogging across multiple conditions. A high-quality time-lapse video of a baseline case is also provided to visualize progressive clogging, abrupt pore-blocking events, and flow rerouting in real time. In addition, the dataset enables a comparative assessment of the influence of key parameters on pore-bridging behavior, showing that particle size has the strongest impact on permeability impairment among the conditions explored. The data serve as well as an experimental benchmark for a collaborative probabilistic pore-network modeling study of arch formation, reported in the associated International Journal of Rock Mechanics and Mining Sciences publication.

Fields of Study & Subjects

Enhanced Oil Recovery Techniques Groundwater flow and contamination studies Heat and Mass Transfer in Porous Media

Publication details

Journal / source
Digital Rocks Portal
Publication date
3 February 2026
Language
EN
Document type
Dataset