Study validates spectral induced polarization and dielectric spectroscopy in evaluating subsurface properties, suggesting broad applicability across various geological settings.
This study aims to validate the effectiveness of spectral induced polarization (SIP) and dielectric spectroscopy for characterizing subsurface properties, specifically focusing on the very low and very high-frequency ranges, respectively. By comparing these two methods, the research aims to refine non-invasive techniques that enhance the reliability of subsurface properties across diverse settings. The study involves laboratory-based SIP measurements in the frequency range of 1mHz to 10kHz and dielectric spectroscopy measurements from 1MHz to 3GHz on core samples under controlled conditions. These measures are calibrated against known properties to evaluate and validate the two methods. Emphasis is placed on testing a range of rock types and saturation levels to explore the extent and limitations of these techniques. SIP and dielectric spectroscopy effectively capture variations in key subsurface properties. SIP measurements demonstrate strong potential in identifying surface area characteristics, while dielectric spectroscopy offers valuable insights into variations in porosity and permeability. However, findings indicate that certain measurements, specifically the imaginary part of the complex conductivity or permittivity, are sensitive to specific sample conditions, emphasizing the need for careful calibration to achieve broader applicability. This approach enhances the understanding of geophysical responses in rock formations, particularly in pure core plugs and carbonate rocks. These insights facilitate the broader application of these methods in assessing subsurface properties across diverse geological settings. This study contributes novel insights by demonstrating the integration of SIP and dielectric spectroscopy to a broader range of geological conditions. It offers a framework for integrating these methods into petrophysical assessments with greater generalizability, advancing non-invasive techniques for petroleum, hydrogeology, and environmental sectors.
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Marval et al. (2025) studied this question.
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