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Title: Extending accurate spectral induced polarization measurements into the kHz range: modelling and removal of errors from interactions between the parasitic capacitive coupling and the sample holder

Journal Article · · Geophysical Journal International
DOI:https://doi.org/10.1093/gji/ggz199· OSTI ID:1515114
 [1];  [1]
  1. Rutgers University-Newark, Department of Earth and Environmental Sciences, New Jersey, USA

Spectral induced polarization (SIP), describing the measurement of the frequency domain electrical impedance magnitude and phase of porous materials, has been widely used to characterize subsurface hydrological/biogeochemical properties and processes. SIP data collected at frequencies higher than 100 Hz are expected to describe the polarization of small particles providing insights into the physicochemical properties of clays, nanoparticles and microorganisms. However, the phase measurements at these high frequencies are often contaminated by errors due to the parasitic capacitive coupling of the SIP instrument, especially for lower conductivity samples. We developed a model showing the measured phase is the sum of the true sample phase and an error term ωCinZx, where ω is the angular frequency; Cin is the instrument input capacitance and Zx is a measurable impedance function related to the sample holder properties and the reference resistor. Based on this model, a new phase correction method is proposed that results in highly accurate SIP data up to 20 kHz as well as the determination of Cin. We tested the correction method using electric circuits, NaCl fluids and three unconsolidated samples (sand, sand-clay and sand-pyrite mixtures). The corrected phase for the circuit and NaCl fluid experiments showed excellent agreement with the theoretical phase response across the studied frequency range (errors <1 mrad). For unconsolidated samples, removal of errors results in phase spectra more consistent with expected polarization mechanisms, as based on phase peaks recorded for small pyrite and clay particles at high frequencies. These phase peaks could not be identified in the uncorrected data. Lastly, our approach can substantially enhance the value of the SIP method for the characterization of fine-grained sediments and rocks.

Research Organization:
US Geological Survey, Boulder, CO (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
SC0016412
OSTI ID:
1515114
Alternate ID(s):
OSTI ID: 1614632
Journal Information:
Geophysical Journal International, Journal Name: Geophysical Journal International Vol. 218 Journal Issue: 2; ISSN 0956-540X
Publisher:
Oxford University PressCopyright Statement
Country of Publication:
United Kingdom
Language:
English
Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

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