Streaming Potential Collection and Data Processing Techniques

Reppert, Philip M.; Morgan, Frank Dale

doi:10.1006/jcis.2000.7296

Cited by 20 publications

(31 citation statements)

References 14 publications

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“…Following Reppert and Morgan (2001), Scott (2006), and Revil and Florsch (2010), the impact of the pore width on the recorded SIP response can be considered of secondary importance. This is primarily due to the comparatively large sizes of the pore throats of both non-compacted and compacted samples considered in this study, which in turn points to the generally subordinate contribution of pore throat and membrane effects to the observed SIP response for unconsolidated sandy sediments in the frequency range below the Maxwell-Wagner effect.…”

Section: Sip Measurementsmentioning

confidence: 99%

Impact of changes in grain size and pore space on the hydraulic conductivity and spectral induced polarization response of sand

Koch

Kemna

Irving

et al. 2011

Hydrol. Earth Syst. Sci.

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Abstract. Understanding the influence of pore space characteristics on the hydraulic conductivity and spectral induced polarization (SIP) response is critical for establishing relationships between the electrical and hydrological properties of surficial unconsolidated sedimentary deposits, which host the bulk of the world's readily accessible groundwater resources. Here, we present the results of laboratory SIP measurements on industrial-grade, saturated quartz samples with granulometric characteristics ranging from fine sand to fine gravel. We altered the pore space characteristics by changing (i) the grain size spectra, (ii) the degree of compaction, and (iii) the level of sorting. We then examined how these changes affect the SIP response, the hydraulic conductivity, and the specific surface area of the considered samples. In general, the results indicate a clear connection between the SIP response and the granulometric as well as pore space characteristics. In particular, we observe a systematic correlation between the hydraulic conductivity and the relaxation time of the Cole-Cole model describing the observed SIP effect for the entire range of considered grain sizes. The results do, however, also indicate that the detailed nature of these relations depends strongly on variations in the pore space characteristics, such as, for example, the degree of compaction. This underlines the complexity of the origin of the SIP signal as well as the difficulty to relate it to a single structural factor of a studied sample, and hence raises some fundamental questions with regard to the practical use of SIP measurements as site-and/or sample-independent predictors of the hydraulic conductivity.

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Section: Sip Measurementsmentioning

confidence: 99%

Impact of changes in grain size and pore space on the hydraulic conductivity and spectral induced polarization response of sand

Koch

Kemna

Irving

et al. 2011

Hydrol. Earth Syst. Sci.

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show abstract

“…Although the equations that describe the streaming potential coefficient are linear below the transition frequency and there is no evidence that they become nonlinear above that frequency, it has not yet been shown that such an approach can be made to work for streaming potential coupling coefficient measurements on rocks. The processing of such data has, however, been discussed at length in Reppert and Morgan [5]; they mention that inertial effects may be seen if the transient signal has strong enough high-frequency components.…”

Section: Introductionmentioning

confidence: 99%

“…The frequency-dependent streaming potential coefficients were calculated using the methods described in Reppert et al [9] and Reppert and Morgan [5], the most important step being the renormalisation of the data taking into account of the frequency-dependent impedance of the sample and measuring circuit, which is shown for each sample at each of the measurement frequencies in Figure 2. This procedure ensures that the streaming potential coefficient is calculated with the correct sample conductivity, that is, that which relates to the frequency of the data.…”

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confidence: 99%

Frequency-Dependent Streaming Potential of Porous Media—Part 2: Experimental Measurement of Unconsolidated Materials

Glover

Walker

Ruel

et al. 2012

International Journal of Geophysics

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Frequency-dependent streaming potential coefficient measurements have been made upon Ottawa sand and glass bead packs using a new apparatus that is based on an electromagnetic drive. The apparatus operates in the range 1 Hz to 1 kHz with samples of 25.4 mm diameter up to 150 mm long. The results have been analysed using theoretical models that are either (i) based upon vibrational mechanics, (ii) treat the geological material as a bundle of capillary tubes, or (iii) treat the material as a porous medium. The best fit was provided by the Pride model and its simplification, which is satisfying as this model was conceived for porous media rather than capillary tube bundles. Values for the transition frequency were derived from each of the models for each sample and were found to be in good agreement with those expected from the independently measured effective pore radius of each material. The fit to the Pride model for all four samples was also found to be consistent with the independently measured steady-state permeability, while the value of the streaming potential coefficient in the low-frequency limit was found to be in good agreement with other steady-state streaming potential coefficient data.

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“…Frequency effect on the coupling coefficient [40][41][42] for the Inada granite with the present experiment system has been reported in [27]. Coupling coefficient does not depend on frequency in such a low frequency range (0.01-1 Hz) for the intact Inada granite.…”

Section: Experimental Methodsmentioning

confidence: 50%

Changes in Electrokinetic Coupling Coefficients of Granite under Triaxial Deformation

Kuwano

Yoshida²

2012

International Journal of Geophysics

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Electrokinetic phenomena are believed to be the most likely origin of electromagnetic signals preceding or accompanying earthquakes. The intensity of the source current due to the electrokinetic phenomena is determined by the fluid flux and the electrokinetic coupling coefficient called streaming current coefficient; therefore, how the coefficient changes before rupture is essential. Here, we show how the electrokinetic coefficients change during the rock deformation experiment up to failure. The streaming current coefficient did not increase before failure, but continued to decrease up to failure, which is explained in terms of the elastic closure of capillary. On the other hand, the streaming potential coefficient, which is the product of the streaming current coefficient and bulk resistivity of the rock, increased at the onset of dilatancy. It may be due to change in bulk resistivity. Our result indicates that the zeta potential of the newly created surface does not change so much from that of the preexisting fluid rock interface.

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Streaming Potential Collection and Data Processing Techniques

Cited by 20 publications

References 14 publications

Impact of changes in grain size and pore space on the hydraulic conductivity and spectral induced polarization response of sand

Impact of changes in grain size and pore space on the hydraulic conductivity and spectral induced polarization response of sand

Frequency-Dependent Streaming Potential of Porous Media—Part 2: Experimental Measurement of Unconsolidated Materials

Changes in Electrokinetic Coupling Coefficients of Granite under Triaxial Deformation

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