ELECTRICAL RESISTIVITY MEASUREMENTS OF DOWNSCALED HOMOGENOUS ROCKS FOR NETWORK MODEL VALIDATION

Authors

  • AO Olafuyi Department of Petroleum Engineering, University of Benin, Edo State, Nigeria
  • AA Ikhouria Department of Petroleum Engineering, University of Benin, Edo State, Nigeria
  • SA Akintola Department of Petroleum Engineering, University of Ibadan, Ibadan, Nigeria

DOI:

https://doi.org/10.4314/njt.302.33

Keywords:

resistivity index, micro-CT, frequency, homogenous, downscaling

Abstract

Knowledge of electrical resistivity for reservoir rocks is crucial for a number of reservoir engineering tasks such as the determination of oil-in-place and the calibration of resistivity logs. Those properties can now be predicted by numerical calculations directly on micro-CT images taken from rock fragments typically having a bulk volume of 100 mm3. The experimental data used to validate those predictions are obtained on conventional cores having bulk volumes of the order of 10,000 mm3. A better validation of micro-CT technique would be to use the same core size for both imaging and flow experiment. Experimental data for electrical resistivity measurements using micropore membrane and centrifuge desaturation techniques are presented for cores having bulk volumes from 10,000 mm3 down to 100 mm3. Both 2- and 4-electrode techniques were applied to measure the resistivity index. Simple fluids like brine and air were used for clear wettability. Homogeneous sandstone cores (Berea and Bentheim) and a carbonate core (Mount Gambier) were used in the experiments. The results demonstrate that reliable experimental data of resistivity index can be obtained for the small cores of homogeneous porous rocks at sensitized frequency. Such data are of immense interest for validating the predictive value of network models based on micro-CT imaging of rock fragments with bulk volumes as small as 100 mm3.

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Section

Research papers of General Interest

How to Cite

ELECTRICAL RESISTIVITY MEASUREMENTS OF DOWNSCALED HOMOGENOUS ROCKS FOR NETWORK MODEL VALIDATION. (2009). Nigerian Journal of Technology, 30(2), 7-17. https://doi.org/10.4314/njt.302.33