Abstract

Laboratory measurements of capillary pressure (Pc) and the electrical resistivity index (RI) of reservoir rocks are used to calibrate well logging tools and to determine reservoir fluid distribution. Significant studies on the methods and factors affecting these measurements in rocks containing oil, gas, and water are adequately reported in the literature. However, with the advent of chemical enhanced oil recovery (EOR) methods, surfactants are mixed with injection fluids to generate foam to enhance the gas injection process. Foam is a complex and non-Newtonian fluid whose behavior in porous media is different from conventional reservoir fluids. As a result, the effect of foam on Pc and the reliability of using known rock models such as the Archie equation to fit experimental resistivity data in rocks containing foam are yet to be ascertained. In this study, we investigated the effect of foam on the behavior of both Pc and RI curves in sandstone and carbonate rocks using both porous plate and two-pole resistivity methods at ambient temperature. Our results consistently showed that for a given water saturation (Sw), the RI of a rock increases in the presence of foam than without foam. We found that, below a critical Sw, the resistivity of a rock containing foam continues to rise rapidly. We argue, based on knowledge of foam behavior in porous media, that this critical Sw represents the regime where the foam texture begins to become finer, and it is dependent on the properties of the rock and the foam. Nonetheless, the Archie model fits the experimental data of the rocks but with resulting saturation exponents that are higher than conventional gas–water rock systems. The degree of variation in the saturation exponents between the two fluid systems also depends on the rock and fluid properties. A theory is presented to explain this phenomenon. We also found that foam affects the saturation exponent in a similar way as oil-wet rocks in the sense that they decrease the cross-sectional area of water available in the pores for current flow. Foam appears to have competing and opposite effects caused by the presence of clay, micropores, and conducting minerals, which tend to lower the saturation exponent at low Sw. Finally, the Pc curve is consistently lower in foam than without foam for the same Sw.

Highlights

  • Electrical resistivity index (RI) and capillary pressure (Pc ) curves are used in many reservoir-engineering and hydrology applications such as the determination of initial reservoir fluids contacts, fluid transition zones, fluid typing and distribution, rock-typing, and fluid flow

  • This paper investigated the effects of foam bubbles on the electrical properties and capillary pressures of rocks

  • Foam bubbles use some of the rock pore water to form thin water films called lamellae

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Summary

Introduction

Electrical resistivity index (RI) and capillary pressure (Pc ) curves are used in many reservoir-engineering and hydrology applications such as the determination of initial reservoir fluids contacts, fluid transition zones, fluid typing and distribution, rock-typing, and fluid flow. If the electrical resistivity tool is intended to measure the water distribution in an aquifer during recharge or to determine the remaining hydrocarbon in place after an enhanced oil recovery (EOR) method such as water flooding, the measurements are obtained while water is displacing the non-wetting phase until residual non-wetting phase saturation. We conducted this fluid systems, namely, a pure gas–water system and a foamed gas–water system, using rocks of experiment for two fluid systems, namely, a pure gas–water system and a foamed gas–water different properties We compared their capillary pressure and resistivity index curves. We fitted the resistivity index data with Archie’s model for both gas–water and foamed scanning was conducted on the samples at each saturation level to monitor the fluid displacement gas–water rocks.

Heterogeneous Composite Rock
Homogenous
Effect of Foam water on Capillary
NMR Measurements of Water Distribution
Sample
Experimental Apparatus
Conclusions
Experimental Procedures

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