Surface self-potential patterns related to transmissive fracture trends during a water injection test

DesRoches, Aaron J.; Butler, Karl E.; MacQuarrie, Kerry T.B.

doi:10.1093/gji/ggx528

Cited by 16 publications

(13 citation statements)

References 46 publications

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“…Indeed, fractures usually present a huge contrast in terms of properties with the surrounding matrix making it difficult to be clearly identified through diffusion-based methods such as electrical resistivity tomography, e.g., [27,28]. Different numerical methods have been proven useful for both electrical conductivity and self-potential simulations, among which the very fine discretization in finite-element modelling, e.g., [29,30] or discrete-dual-porosity, e.g., [23,31]. Nevertheless, analytical models and petrophysical relationships can be beneficial to the development and use of geo-electrical methods for faster and simpler approaches.…”

Section: Introductionmentioning

confidence: 99%

Predicting Electrokinetic Coupling and Electrical Conductivity in Fractured Media Using a Fractal Distribution of Tortuous Capillary Fractures

et al. 2021

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Electrokinetics methods have attracted increasing interest to characterize hydrogeological processes in geological media, especially in complex hydrosystems such as fractured formations. In this work, we conceptualize fractured media as a bunch of parallel capillary fractures following the fractal size distribution. This conceptualization permits to obtain analytical models for both the electrical conductivity and the electrokinetic coupling in water saturated fractured media. We explore two different approaches to express the electrokinetic coupling. First, we express the streaming potential coupling coefficient as a function of the zeta potential and then we obtain the effective charge density in terms of macroscopic hydraulic and electrokinetic parameters of porous media. We show that when the surface electrical conductivity is negligible, the proposed models reduces to the previously proposed one based on a bundle of cylindrical capillaries. This model opens up a wide range of applications to monitor the water flow in fractured media.

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Section: Introductionmentioning

confidence: 99%

Predicting Electrokinetic Coupling and Electrical Conductivity in Fractured Media Using a Fractal Distribution of Tortuous Capillary Fractures

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Indeed, fractures usually present a huge contrast in terms of properties with the surrounding matrix making it difficult to be clearly identified through diffusion-based methods such as electrical resistivity tomography [e.g., 27,28]. Different numerical methods have been proven useful for both electrical conductivity and self-potential simulations, among which the very fine discretization in finite-element modelling [e.g., 29,30] or discrete-dual-porosity [e.g., 23,31]. Nevertheless, analytical models and petrophysical relationships can be beneficial to the development and use of geo-electrical methods through for faster and simpler approaches.…”

Section: Introductionmentioning

confidence: 99%

Predicting Electrokinetic Coupling and Electrical Conductivity in Fractured Media Using a Bundle of Tortuous Capillary Fractures

Thanh¹,

Jougnot²,

Độ³

et al. 2021

Preprint

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The electrokinetics methods have a great potential to characterize hydrogeological processes in geological media, especially in complex hydrosystems such as fractured formations. In this work, we conceptualize fractured media as a bunch of parallel capillary fractures following the fractal size distribution. This conceptualization permits to obtain analytical models for both the electrical conductivity and the electrokinetic coupling in water saturated fractured media. We explore two different approaches to express the electrokinetic coupling. First, we express the streaming potential coupling coefficient as a function of the zeta potential and then we obtain the effective charge density in terms of macroscopic hydraulic and electrokinetic parameters of porous media. We show that when the surface electrical conductivity is negligible, the proposed models reduces to the previously proposed one based on a bundle of cylindrical capillaries. This model opens up a wide range of applications to monitor the water flow in fractured media.

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“…Passive SP signatures have been used to assess a multitude of different research questions, such as the long-term investigation of unsaturated water flow in lysimeters (e.g., Doussan et al, 2002), characterizing pumping experiments (e.g., DesRoches and Butler, 2016;DesRoches et al, 2018, and references therein), assessing earthquake triggers (e.g., Bernabé, 1998;Guzmán-Vargas et al, 2009, and references therein), characterizing dams (e.g., Moore et al, 2011), and monitoring volcanoes (e.g., Maio et al, 1997;Friedel et al, 2004). Water flow in and around trees has also been investigated in some long-term experiments using the SP method (e.g., Gibert et al, 2006;Voytek et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

A monitoring system for spatiotemporal electrical self-potential measurements in cryospheric environments

Weigand

Wagner

Limbrock

et al. 2020

Geosci. Instrum. Method. Data Syst.

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Abstract. Climate-induced warming increasingly leads to degradation of high-alpine permafrost. In order to develop early warning systems for imminent slope destabilization, knowledge about hydrological flow processes in the subsurface is urgently needed. Due to the fast dynamics associated with slope failures, non- or minimally invasive methods are required for inexpensive and timely characterization and monitoring of potential failure sites to allow in-time responses. These requirements can potentially be met by geophysical methods usually applied in near-surface geophysical settings, such as electrical resistivity tomography (ERT), ground-penetrating radar (GPR), various seismic methods, and self-potential (SP) measurements. While ERT and GPR have their primary uses in detecting lithological subsurface structure and liquid water/ice content variations, SP measurements are sensitive to active water flow in the subsurface. Combined, these methods provide huge potential to monitor the dynamic hydrological evolution of permafrost systems. However, while conceptually simple, the technical application of the SP method in high-alpine mountain regions is challenging, especially if spatially resolved information is required. We here report on the design, construction, and testing phase of a multi-electrode SP measurement system aimed at characterizing surface runoff and meltwater flow on the Schilthorn, Bernese Alps, Switzerland. Design requirements for a year-round measurement system are discussed; the hardware and software of the constructed system, as well as test measurements are presented, including detailed quality-assessment studies. On-site noise measurements and one laboratory experiment on freezing and thawing characteristics of the SP electrodes provide supporting information. It was found that a detailed quality assessment of the measured data is important for such challenging field site operations, requiring adapted measurement schemes to allow for the extraction of robust data in light of an environment highly contaminated by anthropogenic and natural noise components. Finally, possible short- and long-term improvements to the system are discussed and recommendations for future installations are developed.

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Surface self-potential patterns related to transmissive fracture trends during a water injection test

Cited by 16 publications

References 46 publications

Predicting Electrokinetic Coupling and Electrical Conductivity in Fractured Media Using a Fractal Distribution of Tortuous Capillary Fractures

Predicting Electrokinetic Coupling and Electrical Conductivity in Fractured Media Using a Fractal Distribution of Tortuous Capillary Fractures

Predicting Electrokinetic Coupling and Electrical Conductivity in Fractured Media Using a Bundle of Tortuous Capillary Fractures

A monitoring system for spatiotemporal electrical self-potential measurements in cryospheric environments

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