How do Porosity, Size and Interconnectivity of Pores Influence The Values of the Archie Equation Exponents in Carbonate and Sandy Rocks?

Authors

DOI:

https://doi.org/10.24857/rgsa.v18n9-062

Keywords:

Sedimentary Rock, Formation Evaluation, Hydrocarbons, Petrophysics, Digital Rock Model

Abstract

Objective: The aim of this study is to investigate the exponents of the Archie equation in order to support the evaluation of hydrocarbon or groundwater reserves through electrical resistivity measurements of subsurface rocks.

 

Theoretical Framework: The Archie equation describes the relationship between the electrical resistivity of a rock and its water saturation and depends on the cementation (m) and saturation (n) exponents. Several authors state that electrical resistivity and the exponents m and n depend on the size, geometry, and connectivity of the pores.

 

Method: This article applies the finite element method to simulate the propagation of the electric field in digital rock models and thus evaluate the Archie exponents.

 

Results and Discussion: Our results indicate that the relationship between these exponents and pore attributes is different for values below or above a threshold. The variables with the greatest influence on m are the porosity of macropores and their interconnectivity, as well as the volumetric fraction of the microporous phase. As for the saturation exponent, the variables with the greatest influence are the porosity of macropores and the interconnectivity of both potentially conductive domains.

 

Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of underground natural resource assessment. These implications may cover the sectors of hydrocarbon production, groundwater, geo-environmental investigations, and geotechnical studies.

 

Originality/Value: This study contributes to the literature by presenting an innovative method for determining the exponents of the Archie equation. The relevance and value of this research are evidenced by its high economic impact on the aforementioned sectors and by its applicability anywhere.

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References

Adebayo, A. R., H. Y. Al-Yousef, and M.A, Mahmoud, 2015. An investigation of the effect of CO2-brine-rock interaction on determination of Archie's saturation exponent for carbon dioxide evaluation in carbonate reservoirs: Journal of Petroleum Science and Engineering, 133, 665–676, doi: 10.1016/j.petrol.2015.05.005.

Archie, G. E., 1942. The electrical resistivity log as an aid in determining some reservoir characteristics: T. AIME, 146, 54–62.

Cerepi, A., 2004. Geological control of electrical behaviour and prediction key of transport properties in sedimentary porous systems: Colloids and Surfaces A: Physicochem. Eng. Aspects, 241, 281–298, doi: 10.1016/j.colsurfa.2004.04.049.

Dashtian, H., Y. Yang, and M. Sahimi, 2015. Nonuniversality of the Archie exponent due to multifractality of resistivity well logs: Geophys. Res. Lett., 42, 10,655–10,662, doi: 10.1002/2015GL066400.

Gholanlo, H. H., S. S. Yeganeh, and V. G. Dehrizi, 2018. Saturation exponent determination by using genetic algorithm in carbonate reservoirs: A case study in Sarvak Formation: Egyptian Journal of Petroleum, 27, 241–247, doi: 10.1016/j.ejpe.2017.07.013.

Glover, P., 2009. What is the cementation exponent? A new interpretation: The Leading Edge, January 2009, 82-85.

Glover, P. W. J., 2010. A generalized Archie’s law for n phases: Geophysics, 75, no. 6, E247-E265, doi: 10.1190/1.3509781.

Glover, P. W. J., 2016. Archie’s Law – A reappraisal: Solid Earth Discuss., doi: 10.5194/se-2016-47.

Hamada, G. M., 2010. Analysis of Archie's parameters determination techniques: Petroleum Science and Technology, 28:1, 79-92, doi: 10.1080/10916460802706463.

Harland, S. R., R. A. Wood, A. Curtis, M. I. J. van Dijke, K. Stratford, Z. Jiang, W. Kallel, and K. Sorbie, 2015. Quantifying flow in variably wet microporous carbonates using object-base. geological modeling and both lattice-Boltzmann and pore-network fluid flow simulations: AAPG Bulletin, v. 99, no. 10, 1827–1860.

Liu, H., Y. Zhao, Y. Luo, Z. Chen and S. He, 2015. Diagenetic facies controls on pore structure and rock electrical parameters in tight gas sandstone: J. Geophys. Eng. 12, 587–600.

Mardi, M., H. Nurozi and S. Edalatkhah, 2012. A water saturation prediction using artificial neural networks and an investigation on cementation factors and saturation exponent variations in an Iranian oil well: Petroleum Science and Technology, 30:4, 425-434, doi: 10.1080/10916460903452033.

Olsen, C., T. Hongdul, and I. L. Fabricius, 2008. Prediction of Archie’s cementation factor from porosity and permeability through specific surface: Geophysics, Vol. 73, no. 2, E81–E87, doi: 10.1190/1.2837303.

Sen, P. N., 1997. Resistivity of partially saturated carbonate rocks with microporosity: Geophysics, Vol. 62, no. 2, 415–425.

Sharifi, G. H., K. Saadat, E. Kazemzadeh, and H. Mahmoudian, 2012. Measurement of Archie parameters of some carbonate cores at full reservoir conditions: Journal of Chemical and Petroleum Engineering, 46, no. 1, 63-72.

Soleymanzadeh, A., P. K. Kaj, S. Kord, and M. Monjezi, 2021. A new technique for determining water saturation based on conventional logs using dynamic electrical rock typing: Journal of Petroleum Science and Engineering, 196, 107803, doi: 10.1016/j.petrol.2020.107803.

Winsauer, W. O., Shearin Jr., H. M., Masson, P. H. and M. Williams, 1952, Resistivity of brine-saturated sands in relation to pore geometry: AAPG Bulletin, 36 (2): 253-277.

Xiao, L., Z. Mao, G. Li and Y. Jin, 2013. Estimation of saturation exponent from Nuclear Magnetic Resonance (NMR) logs in low permeability reservoirs: Appl Magn Reson., 44, 333–347, doi: 10.1007/s00723-012-0366-1.

Yao, J., C. Wang, Y. Yang, R. Hu, and X. Wang, 2013. The construction of carbonate digital rock with hybrid superposition method: Journal of Petroleum Science and Engineering, 110, 263–267, doi: 10.1016/j.petrol.2013.10.005.

Published

2024-04-30

How to Cite

Batista, J. T., Soares, J. A., Sobrinho, A. B. G., & Moraes, N. A. L. de. (2024). How do Porosity, Size and Interconnectivity of Pores Influence The Values of the Archie Equation Exponents in Carbonate and Sandy Rocks?. Revista De Gestão Social E Ambiental, 18(9), e06381. https://doi.org/10.24857/rgsa.v18n9-062

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