2017
DOI: 10.1306/07251615199
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The impact of rock composition on geomechanical properties of a shale formation: Middle and Upper Devonian Horn River Group shale, Northeast British Columbia, Canada

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Cited by 81 publications
(49 citation statements)
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“…The impact of evolution of microaggregate compocomposition on the degradation of subsidence, in the process of moisture increase in the aeration zone, has been insufficiently studied. Searching for connections between the structure of sediments and their geomechanical properties is relevant in different areas of application in geology (Dong et al, 2017). Mokritskaya and Koriashkina (Mokritskaya, Koriashkina, 2013) describe variants of predicting relative subsidence.…”
Section: ключевыеmentioning
confidence: 99%
“…The impact of evolution of microaggregate compocomposition on the degradation of subsidence, in the process of moisture increase in the aeration zone, has been insufficiently studied. Searching for connections between the structure of sediments and their geomechanical properties is relevant in different areas of application in geology (Dong et al, 2017). Mokritskaya and Koriashkina (Mokritskaya, Koriashkina, 2013) describe variants of predicting relative subsidence.…”
Section: ключевыеmentioning
confidence: 99%
“…Multiple uncertain parameters in actual fracturing increase the difficulty of fracturing design; thus, researches on factors affecting fracturing are studied. Fracturing crack morphology is affected by parameters, such as the geo-mechanical and mechanical properties and the stress distribution of target formation [24,25], and the most crucial parameters affecting fracture design include Young's modulus, pumping rate, and the in-situ stress contrast [26]. In the case of the same in-situ stress difference, the larger the stress value is, the larger the crack width, and the shorter the crack length will be, thus affecting the degree of stress interference [27].…”
Section: Introductionmentioning
confidence: 99%
“…Hucka and Das, 1974;Grieser and Bray, 2007;Jarvie et al, 2007;Rickman et al, 2008;Wang and Gale, 2009;Altindag, 2010;Herwanger et al, 2015;Lai et al, 2015;Zhang et al, 2016), 각 방법에서 취성도 계산에 영향을 미치는 요소들을 규명하고, 서로 다른 취성도 계산 방법 사이의 상호연관성을 확인하려는 연구들이 수행되어 왔다(e.g. Guo et al, 2013;Park et al, 2014;Hu et al, 2015;Dong et al, 2017). 이 중, 탄성계수인 영률과 포아송비 를 이용하는 탄성계수 기반의 취성도와 암석을 구성하는 광물의 조 성, 함량 및 유기물 함량을 이용하여 계산하는 광물학 기반의 취성도 가 대표적인 방법으로 사용되고 있다 (Table 1)(e.g.…”
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