Symposium on the Application of Geophysics to Engineering and Environmental Problems 2003 2003
DOI: 10.4133/1.2923191
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A Numerical Modelling Procedure for the Study of the Streaming Potential Phenomenon in Embankment Dams

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Cited by 10 publications
(10 citation statements)
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“…Figures 12 and 13 show the distribution of the equipotentials for the self‐potential in the pool (for k 0 = 4.6 × 10 −9 m 2 ). The leakage is clearly associated with a negative self‐potential anomaly centered on the area of leakage in agreement with field observations [e.g., Bogoslovsky and Ogilvy , 1970; Sheffer , 2002; Sheffer and Howie , 2001, 2003]. The magnitude of this anomaly at the entrance of the pipe is equal to four millivolts.…”
Section: Example Of Geophysical Applicationsupporting
confidence: 88%
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“…Figures 12 and 13 show the distribution of the equipotentials for the self‐potential in the pool (for k 0 = 4.6 × 10 −9 m 2 ). The leakage is clearly associated with a negative self‐potential anomaly centered on the area of leakage in agreement with field observations [e.g., Bogoslovsky and Ogilvy , 1970; Sheffer , 2002; Sheffer and Howie , 2001, 2003]. The magnitude of this anomaly at the entrance of the pipe is equal to four millivolts.…”
Section: Example Of Geophysical Applicationsupporting
confidence: 88%
“…The record of these electrical fields provides a powerful geophysical method for tracking the pattern of groundwater flow. Applications in geohydrology concern the forced movement of water associated with deformation of porous rocks [e.g., Lorne et al , 1999a, 1999b; Revil et al , 2003], the determination of preferential flow paths over karstic areas [ Jardani et al , 2006a, 2006b], the determination of transmissive properties of unconfined aquifers [ Titov et al , 2000], the determination of subglacial flow patterns [ Kulessa et al , 2003a, 2003b], CO 2 sequestration [ Moore et al , 2004], and the detection of leakages in embankments and dams and the interpretation of the resulting self‐potential signals in terms of seepage velocity [e.g., Bogoslovsky and Ogilvy , 1970; Gex , 1980; Panthulu et al , 2001; Sheffer , 2002; Sheffer and Howie , 2001, 2003; Titov et al , 2005; Rozycki et al , 2006]. These works have also recently driven the development of new algorithms of self‐potential tomography [e.g., Revil et al , 2001; Long and Hao , 2005; Minsley et al , 2007] and tank‐scale laboratory measurements in well‐controlled conditions to check the underlying physics of these processes [ Maineult et al , 2006a, 2006b; Moore and Glaser , 2007].…”
Section: Introductionmentioning
confidence: 99%
“…Past data interpretation techniques primarily have been qualitative. However, recent research described by Sheffer and Howie (2003) is developing modeling procedures so that the SP technique can be applied as a quantitative monitoring tool in seepage studies. With the new model, scientists are able to determine properties including hydraulic conductivity and flow rate as they affect the SP response.…”
Section: Electrical Soundingmentioning
confidence: 99%
“…The increasing role of SP has initiated research on SP algorithms to quantify flow volume and to develop the SP technique as a comprehensive investigative tool in seepage assessment projects (Sheffer and Howie 2003). …”
Section: Self-potentialmentioning
confidence: 99%
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