Dielectric constant measurements of sweep frequency and its effect from 20 MHz to 1000 MHz

Kang, Zhengming; Ke, Shizhen; Yin, Chengfang; Wang, Weidong; Zheng, Shutong; Sun, Xu; Li, Junjian

doi:10.1016/j.petrol.2018.03.093

Cited by 9 publications

(4 citation statements)

References 13 publications

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“…The phenomenon can be explained qualitatively by means of the polarization mechanism. When an alternating current is applied to water-bearing rocks, various polarization phenomena occur in the rocks, which will cause the amplitude of the current to decay and the phase to shift [14]. When this happens, complex models are needed to characterize the impedance of rocks [15]:…”

Section: Spectrum Characteristicsmentioning

confidence: 99%

Estimation of permeability and saturation based on imaginary component of complex resistivity spectra: A laboratory study

Jiang

Li³

et al. 2020

Open Geosciences

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Low-frequency resistivity logging plays an important role in the field of petroleum exploration, but the complex resistivity spectrum of rock also contains a large amount of information about reservoir parameters. The complex resistivity spectra of 15 natural sandstone cores from western China, with different water saturations, were measured with an impedance analyzer. The pore space of each core was saturated with NaCl solution, and measurements were collected at a frequency range of 40–15 MHz. The results showed a linear relationship between the real resistivity at 1 kHz and the maximum values of imaginary resistivity for each core with different water saturations. The slopes of the linear best-fit lines had good linear relationships with the porosity and the permeability of cores. Based on this, a permeability estimation model was proposed and tested. In addition, the maxima of imaginary resistivity had power exponential relationships with the porosity and the water saturation of the cores. A saturation evaluation model based on the maxima of imaginary resistivity was established by imitating Archie’s formula. The new models were found to be feasible for determining the permeability and saturation of sandstone based on complex resistivity spectrum measurements. These models advance the application of complex resistivity spectrum in petrophysics.

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Section: Spectrum Characteristicsmentioning

confidence: 99%

Estimation of permeability and saturation based on imaginary component of complex resistivity spectra: A laboratory study

Jiang

Li³

et al. 2020

Open Geosciences

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“…Dielectric logging is a novel logging tool for distinguishing fluid properties of reservoirs and estimating reservoir parameters (Han & Yang, 2019). Dielectric scanner, which is developed by the Schlumberger, measures relative permittivity and conductivity logs of rocks at 24, 102, 360 and 960 MHz (Donadille et al., 2016; Kang et al., 2018). The information from dielectric scanner logging using dielectric models can provide water‐bearing porosity, texture index and fluidity of fluid (Jia et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

Revised models for evaluating hydrocarbon saturation of tight sandstone formations based on dielectric dispersion logs

Wang,

Liao,

Zhao

et al. 2023

Geophysical Prospecting

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Accurate estimation of hydrocarbon saturation is significant for log interpreters to evaluate tight sandstone formations. It is difficult to use conventional wireline logs to calculate hydrocarbon saturation in complex reservoirs. Dielectric dispersion logs are processed using dielectric models to obtain accurate saturation assessment, especially in high salinity shaly sand formations. However, the dielectric models consist of complex refractive index method model and shaly sand model ignore the impact of clay effects on complex refractive index method model, and the dielectric dispersion logs generated by them appear several unphysical phenomena in the clay‐bearing formations, such as the permittivity data at the highest frequency are greater than those at the second highest frequency and the conductivity data at the highest frequency are lower than those at the second highest frequency. This paper modifies the dielectric models by introducing a combined conductive phase in complex refractive index method model to correct the unphysical behaviors. Revised models are combined with four permittivity and four conductivity logs acquired by Dielectric Scanner at 24, 102, 360, and 960MHz to inverse the water saturation, water salinity, textural index for water‐bearing pore, and fraction of clay‐related phase. The complex refractive index method model interprets the logs measured at 960MHz and shaly sand model interprets other dielectric dispersion logs. The particle swarm optimization algorithm is used to search inversion parameters. The results of forward simulation show that the revised models can correct unphysical behaviors of dielectric dispersion logs generated by the original models. Moreover, we apply original models and revised models to laboratory core data. The results of experiments show that the mean relative error values of the original models are 19.38% and 23.60% and of the revised models are 5.54% and 6.28% in two cases. It shows that the revised models are more accurate than the original models to interpret dielectric dispersion logs of tight sandstone reservoirs.This article is protected by copyright. All rights reserved

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“…This logging method can directly measure the water saturation of the formation, and it is especially critical in tight gas sands, where water saturation can be very low and impossible to predict using standard resistivity logs. It also provides information about rock lithology, water porosity, and clay content [1][2][3][4][5][6][7]. The majority of the early dielectric logging methods use centered mandrel measurement.…”

Section: Introductionmentioning

confidence: 99%

Detection Performance Analysis of Array Dielectric Dispersion Logging Based on Sensitivity Function

Cai

Deng

Yuan

2023

Sensors

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Dielectric logging is a critical method for exploring and developing complex oil and gas reservoirs, such as tight reservoirs, low-resistivity contrast reservoirs, and shale oil and gas reservoirs. The sensitivity function is extended to high-frequency dielectric logging in this paper. The detection characteristics of attenuation and phase shift of an array dielectric logging tool in different modes are investigated, along with the influencing factors such as resistivity and dielectric constant. The results show the following: (1) The symmetrical coil system structure makes the sensitivity distribution symmetrically distributed, and the detection range is more focused. In the same measurement mode, the depth of investigation (DOI) becomes deeper under high resistivity formation, and the sensitivity range oscillates outward when the dielectric constant becomes greater. (2) The DOIs of different frequencies and source spacings cover the radial zone between 1 cm and 15 cm. The detection range has been enlarged to include part of the invasion zones, improving the measurement data’s dependability. (3) With the increase in the dielectric constant, the curve tends to oscillate, and this behavior makes the DOI slightly shallower. Additionally, this oscillation phenomenon is obvious when the frequency, resistivity, and dielectric constant increase, particularly in high-frequency detection mode (F2, F3).

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Dielectric constant measurements of sweep frequency and its effect from 20 MHz to 1000 MHz

Cited by 9 publications

References 13 publications

Estimation of permeability and saturation based on imaginary component of complex resistivity spectra: A laboratory study

Estimation of permeability and saturation based on imaginary component of complex resistivity spectra: A laboratory study

Revised models for evaluating hydrocarbon saturation of tight sandstone formations based on dielectric dispersion logs

Detection Performance Analysis of Array Dielectric Dispersion Logging Based on Sensitivity Function

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Dielectric constant measurements of sweep frequency and its effect from 20 MHz to 1000 MHz

Cited by 9 publications

References 13 publications

Estimation of permeability and saturation based on imaginary component of complex resistivity spectra: A laboratory study

Estimation of permeability and saturation based on imaginary component of complex resistivity spectra: A laboratory study

Revised models for evaluating hydrocarbon saturation of tight sandstone formations based on dielectric dispersion logs

Detection Performance Analysis of Array Dielectric Dispersion Logging Based on Sensitivity Function

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Dielectric constant measurements of sweep frequency and its effect from 20 MHz to 1000 MHz