2020
DOI: 10.1111/gwat.13009
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Fracture Flow Characterization with Low‐Noise Spontaneous Potential Logging

Abstract: Geophysical well logging has been applied for fracture characterization in crystalline terrains by physical properties measurements and borehole wall imaging. Some of these methods can be applied to monitor pumping tests to identify fractures contributing to groundwater flow and, with this, determine hydraulic conductivity and transmissivity along the well. We present a procedure to identify fractures contributing to groundwater flow using spontaneous potential measurements generated by electrokinetic processe… Show more

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Cited by 4 publications
(4 citation statements)
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References 16 publications
(26 reference statements)
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“…Despite modern technology to visualize fractures and respective apertures from opti-cal/acoustic imaging of the borehole wall, the identification of fractures effectively contributing to groundwater flow is still a challenging task of importance in hard rock tunnelling, subsurface mining or contaminant repository development. Kowalski et al (2020) conceptualized a procedure to identify hydraulically active fractures by tracking their electrokinetic response after a well is pumped and left to recover to its previous condition. In this test, a transmissible fracture shows a characteristic sigmoidal variation in the electrokinetic potential, its polarity indicating flow direction (if entering or exiting the borehole), and its amplitude linearly varying as the static level is recovered.…”
Section: Hydraulic Head Determinationmentioning
confidence: 99%
See 1 more Smart Citation
“…Despite modern technology to visualize fractures and respective apertures from opti-cal/acoustic imaging of the borehole wall, the identification of fractures effectively contributing to groundwater flow is still a challenging task of importance in hard rock tunnelling, subsurface mining or contaminant repository development. Kowalski et al (2020) conceptualized a procedure to identify hydraulically active fractures by tracking their electrokinetic response after a well is pumped and left to recover to its previous condition. In this test, a transmissible fracture shows a characteristic sigmoidal variation in the electrokinetic potential, its polarity indicating flow direction (if entering or exiting the borehole), and its amplitude linearly varying as the static level is recovered.…”
Section: Hydraulic Head Determinationmentioning
confidence: 99%
“…The proposed recovering method was tested in field conditions (Kowalski et al, 2020) but some particularities of the test site (Kowalski et al, 2021), namely a single hydraulically active fracture at a very impermeable environment, left as open questions how the proposed test would respond if applied to boreholes with at least two fractured systems in more permeable environments. A laboratory-scale experiment was then outlined to simulate a situation in which a borehole intercepts two fractures, each one connected to aquifer systems with distinct hydraulic heads.…”
Section: Hydraulic Head Determinationmentioning
confidence: 99%
“…As shown in Table 1, a set of 32 fractures were identified from OPTV imaging of the 20 m open section of borehole P2 with apparent apertures varying from undistin-guishable up to a few centimeters. A full image for P2 borehole is presented in Kowalski et al (2021).…”
Section: Percolation Threshold Determinationmentioning
confidence: 99%
“…One commonly used logging technique is the direct imaging of the borehole wall with optical or acoustical probes allowing a quantitative fracture analysis as it is done in structural geology with outcrops. Borehole wall imaging can distinguish active and sealed fractures (Shapiro, 2001), evaluate the fracture transmissivity when integrated with adequate pumping tests (Hamm et al, 2007) or hydraulic head estimates from monitoring electrokinetic signals after pumping a well (Kowalski et al, 2021). Image logs also allow predetermination of depths of interest for selective measurements with flowmeter probes (Williams and Paillet, 2002) to detect potential fractures as a nearby well is pumped (Vitale et al, 2019).…”
Section: Introductionmentioning
confidence: 99%