Archie’s Porosity Exponent: REV, Heterogeneity and Anisotropy in a Coquina Carbonate.

H. Wang; P. Corbett

doi:10.3997/2214-4609.201412643

Archie’s Porosity Exponent: REV, Heterogeneity and Anisotropy in a Coquina Carbonate.
Authors H. Wang¹, P. Corbett¹
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Affiliations: ¹ Heriot-Watt University
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, 77th EAGE Conference and Exhibition 2015, Jun 2015, Volume 2015, p.1 - 5
DOI: https://doi.org/10.3997/2214-4609.201412643

Abstract

Summary

The porosity exponent (m) in the Archie saturation equation is very variable in carbonates. In this study – in a heterogeneous coquina carbonate a numerical study using a micro-CT volume in a resistivity model to calculate formation factor to compare with experimental data. The calibrated model is then used to explore the issues of the representative elementary volume, the heterogeneity and the anisotropy. The range of m from 1.6 to 3.8 is explained by varying tortuosity. This has implications understanding porosity exponent in carbonates and in resistivity-based formation evaluation in coquina carbonates.

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2015-06-01

2024-04-26

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References

Câmara, R.N.
2013, Petrophysical Characterisation of Coquinas of the Morro do Chaves Formation (Barremian/Aptian)Pre-Salt interval of the Sergipe-Alagoas Basin Unpubl MSc, Instituto de Geociências, UFRJ, Rio de Janeiro, 112p (in Portuguese).
[Google Scholar]
Câmara, R., Corbett, P., Tavares, A. C., Machado, A., Jesus, E., and Borghi, L.
2014, Carbonate Coquina Reservoirs, New insights for Petrophysical Reservoir Characterisation, EAGEAmsterdam.
[Google Scholar]
Hoshen, J., and Kopelman, R.
, 1976, Percolation and cluster distribution, Phys. Rev. B1(14) 3438–3445
[Google Scholar]
Wang, H.
, 2015, Numerical Simulation of Resistivity and Investigation of Porosity Exponent in Carbonates, Unpublished PhD thesis, Heriot-Watt University
[Google Scholar]

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Archie’s Porosity Exponent: REV, Heterogeneity and Anisotropy in a Coquina Carbonate.

Conference Proceedings 2015, 1 (2015); https://doi.org/10.3997/2214-4609.201412643

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Abstract

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The natural combination of full and image‐based waveform inversion

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