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

Abstract: 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.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Estimation of permeability and saturation based on imaginary component of complex resistivity spectra: A laboratory study ; volume:12 ; number:1 ; year:2020 ; pages:299-306 ; extent:8 ; Open Geosciences ; 12, Heft 1 (2020), 299-306 (gesamt 8)

Contributors, Places and Time

• Creator: Jia, Jiang ; Ke, Shizhen ; Li, Junjian ; Kang, Zhengming ; Ma, Xuerui ; Li, Manman ; Guo, Jieyi

Further information

• DOI: 10.1515/geo-2020-0108
• URN: urn:nbn:de:101:1-2501051623448.262164511570
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:27 AM CEST