Published July 20, 2022 | Version v2
Dataset Open

Geoelectrical and hydro-chemical monitoring of karst formation at the laboratory scale

  • 1. Univ. Orléans, CNRS, BRGM, ISTO, UMR 7327, Orléans, F-45071, France
  • 2. Géosciences Montpellier, Univ Montpellier, CNRS, Univ Antilles, Montpellier, France
  • 3. Sorbonne Université, CNRS, EPHE, METIS, F-75005, Paris, France

Description

We propose a dataset of two Estaillades limestone core samples subjected to acid percolation at two different rates.

We monitored:

  • Permeability from high-frequency pressure gradient acquisition. Facing noise, we filtered this permeability with a Savitsky-Golay filter. Then, we resampled permeability values to compare them at specific times when we performed other measurements.
  • pH at the inlet and outlet.
  • Calcium concentration at the outlet.
  • Porosity was initially measured with petrophysical measurements and then calculated from calcium concentration during percolation experiments. We resampled the values to compare them at specific times when we performed other measurements.
  • Water electrical conductivity at the inlet and outlet.
  • Rock sample electrical conductivity, from which we calculated the formation factor. Rock sample electrical conductivity was high-frequency acquired. We thus resampled the values to compare them at specific times when we performed other measurements.

We also present the pore size distribution of both samples before and after the percolation experiments. The distribution comes from the mean chord lengths distribution generated from tomography imaging.

In addition to this dataset, we display a picture of the mesh of the sample and the electrodes generated with EIDORS software and with which we computed the geometric factor.

Files

sample_mesh_eidors.png

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