Pore geometrical model for the resistivity of brine saturated rocks

Abousrafa, Emhemed Mohamed; Somerville, James McLean; Hamilton, Sally Ann; Olden, Peter; Smart, B.D.G.; Ford, Jason J.

doi:10.1016/j.petrol.2008.12.009

Cited by 29 publications

(5 citation statements)

References 10 publications

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“…Tortuosity represents the energy absorption capacity of a porous media; such capacity could be either thermal or acoustic. Several models have been proposed considering the porosity as a relevant factor that affects tortuosity [12,26]. Conventional poroelastic models, including transmission loss, have been used to predict the acoustic insulation performance of the polyimide foam.…”

Section: Materials Characterizationmentioning

confidence: 99%

Tortuosity Index Based on Dynamic Mechanical Properties of Polyimide Foam for Aerospace Applications

et al. 2019

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The determination of a reliable tortuosity index is lacking in the aerospace industry. Therefore, a methodology is formulated via direct and indirect characterization methods of a fluid-filled porous media. Chemical, thermal, and mechanical characterization was performed to the PolyuMACTM polyimide foam. Tortuosity was measured considering a pressure difference as the resistivity variable, rather than electrical resistivity or molecular diffusivity, as proposed on previous models. This is an empirical establishment of the tortuosity index considering the correlation among hydraulic and structural dimensionless parameters obtained through the Buckingham’s Pi theorem. The behavior of the polyimide was studied for samples of different lengths compressed at 30%, 60%, and 90% of its original length on the foaming direction. Results show that, porosity, sample length, and fluid viscosity are relevant for the insulation performance of the material. Regression analysis produced a significant statistical model fit to the data correlated from the dimensionless parameters for each dynamic compression series.

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Section: Materials Characterizationmentioning

confidence: 99%

Tortuosity Index Based on Dynamic Mechanical Properties of Polyimide Foam for Aerospace Applications

et al. 2019

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“…Complete dissolution of fossil fragments can result in moldic porosity which is a common pore type in carbonate rocks (Ragland 2002). Furthermore, since constricted pore throats can hinder ions' transport and result in increased resistivity (Ara 2001 andAbousrafa et al, 2009), we can expect lower conductivity caused by precipitates from CBRI that plug some pore throats and ions path. It then follows logically to say that CBRI can result in continuous change in carbonate pore structure as long as CBRI progresses.…”

Section: How Cbri and Cbori Is Expected To Affect Resistivity In Carbmentioning

confidence: 99%

Challenges of Resistivity Log As A Monitoring Technique During Carbon Dioxide Sequestration In Carbonate Formations

2014

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Electrical resistivity measurement technique is being used to evaluate the remaining oil in place during carbon dioxide (CO2) -EOR and it is currently extended to CO2 sequestration projects for tracking and quantifying carbon dioxide migration. Seismic method is another technique but it becomes less effective at about 40% of CO2 saturation giving resistivity technique an edge. However, the complexity of carbonate rocks with respect to the heterogeneity of its pore character and wettability, and the susceptibility of these factors to Carbon dioxide -Brine -Rock interaction (CBRI) can make such technique intractable for fluid monitoring in carbonate formations. This paper reviews the suitability of resistivity measurement for carbon dioxide monitoring. We reviewed the factors affecting resistivity-based saturation models with a focus on a new insight into how electrical properties of carbonate formation can be dependent on CBRI and on time. Laboratory study involved injecting supercritical CO2 into representative brine saturated core samples under reservoir and a closed boundary condition such that injected CO2 remained in place for a considerable length of time. A data acquisition system was designed to log core resistivity, temperature, pore pressure, and overburden pressure with time. Results revealed changes in rocks' pore character and rock electrical behavior over CO2 storage time. The resulting effects and challenges on resistivity measurements and estimation of carbon dioxide saturation distribution are also elaborated. Finally, a proposal into addressing these challenges is presented.

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“…Nevertheless, to have higher accuracy of saturation estimation, we must develop some quantitative models or/and methods to eliminate the influences of pore structure on rock resistivity (Zhan et al, 2020;Zhan et al, 2021). Abousrafa et al (2009) designed a spherical pore to connect three tubular pores. When the tubular pores connect the spherical pore at different angles, Abousrafa studied the influences of pore structure on rock resistivity using an analytical method.…”

Section: Introductionmentioning

confidence: 99%

Studies and Applications of Dual Pore Saturation Model Based on Pore Structure Classification in Tight Reservoirs

Liu

Li²,

Zhang³

et al. 2022

Front. Earth Sci.

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The complex pore structure of rock may influence resistivity logs and make it challenging to perform saturation estimations with better precision. For example, water saturation may go higher or lower when Archie’s formulae are used to obtain the saturation as the logging resistivity may become greater or smaller, due to the influences of complex pore structures in the reservoirs. In this paper, having considered the influences of pore structure on logging resistivity, we have developed a different algorithm to improve the equivalent rock element model (EREM, a rock conduction model) to have better water saturation. First of all, the nuclear magnetic resonance (NMR) echo data of cores are inverted by using the optimized inversion to calculate pore parameters, such as the average radius of spherical pore tubular pore, Cd path, and sorting coefficient. Secondly, according to the parameters derived from the optimization inversions, the pore structures of the core are divided into different groups. Based on the classifications of the pore structure, the conduction parameters of rock for different pore structures are determined by fitting the experimental conduction data of rock with a damping factor. Finally, the working flow of calculating fluid saturation according to the EREM model is determined for different conduction parameters. The key feature of the improved EREM saturation model is to eliminate the influence of pore structure on rock conduction, highlight the influence of pore fluid on rock conduction, and then improve the calculation accuracy of saturation in it. The applications of our research show that the saturation estimations derived from the improved EREM model appear to be more reasonable in terms of the saturation value and its numerical trend. Thus, the improved EREM model has potential in petroleum exploration and exploitation.

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Pore geometrical model for the resistivity of brine saturated rocks

Cited by 29 publications

References 10 publications

Tortuosity Index Based on Dynamic Mechanical Properties of Polyimide Foam for Aerospace Applications

Tortuosity Index Based on Dynamic Mechanical Properties of Polyimide Foam for Aerospace Applications

Challenges of Resistivity Log As A Monitoring Technique During Carbon Dioxide Sequestration In Carbonate Formations

Studies and Applications of Dual Pore Saturation Model Based on Pore Structure Classification in Tight Reservoirs

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