2015
DOI: 10.1007/s00603-015-0848-1
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Hydraulic Fracturing of Heterogeneous Rock Monitored by Acoustic Emission

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Cited by 100 publications
(66 citation statements)
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“…Using acoustic plane wave reflection, it is also possible to measure fracture width [ Medlin and Masse , ; Groenenboom and Fokkema , ]; see also Kovalyshen et al [] for a comparison between ultrasonic and optical methods for the measurement of fracture width. Passive acoustic emission monitoring is also often used for monitoring hydraulic fracture growth at the laboratory scale [see Lockner and Byerlee , ; Stanchits et al , , among many others], providing an indirect measurement of the evolution of the fracture extent. Little in‐depth comparisons between theoretical predictions and experiments have been reported so far for nontransparent materials.…”
Section: Introductionmentioning
confidence: 99%
“…Using acoustic plane wave reflection, it is also possible to measure fracture width [ Medlin and Masse , ; Groenenboom and Fokkema , ]; see also Kovalyshen et al [] for a comparison between ultrasonic and optical methods for the measurement of fracture width. Passive acoustic emission monitoring is also often used for monitoring hydraulic fracture growth at the laboratory scale [see Lockner and Byerlee , ; Stanchits et al , , among many others], providing an indirect measurement of the evolution of the fracture extent. Little in‐depth comparisons between theoretical predictions and experiments have been reported so far for nontransparent materials.…”
Section: Introductionmentioning
confidence: 99%
“…AE location accuracy is influenced by factors such as the focal coverage of the monitoring array, SNR, and the robustness of the velocity model. Stanchits et al () report AE location errors on the order of 6 mm for similar hydraulic fracturing experiments on shale and sandstone blocks. Vera Rodriguez et al (, ) demonstrate improvements in location accuracy with the incorporation of shear wave information using the coalescence microseismic mapping algorithm (Drew et al, ).…”
Section: Modeling Of Different Sources Of Uncertainty On the Estimatementioning
confidence: 99%
“…Uncertainties related to the velocity time-invariance assumption are the result of unaccounted variations in stress conditions, fracture development, and injection-fluid invasion during the experiment. Stanchits et al (2015) measured velocity variations for compressional waves that are also on the order of 6% during hydraulic fracturing experiments equivalent to the one considered in this work.…”
Section: Propagation Velocitiesmentioning
confidence: 99%
“…В дальнейших работах будут изложены материалы исследования и подробно будет изложено развитие ма-гистральной трещины в области растягивающих напря-жений при применении метода акустико-эмиссионного прогнозирования механического разрушения и ки-нетическая модель микротрещинообразования твeрдых тел [81][82][83][84][85][86][87][88][89][90][91] с одновременной регистрацией электроста-тических полей [92][93][94][95][96][97].…”
Section: механизмы развития магистральных трещинunclassified