An Application of Risk Assessment Method of Water Inrush in Fractured Rock Masses to Actual Underground Construction Project

Ohtsu, Hiroyasu; Hotta, Yohei; Saegusa, Hiromitsu; Onoe, Hironori; Ijiri, Yuji

doi:10.2208/jscejf.64.353

Cited by 2 publications

(3 citation statements)

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“…However, in order to establish a reasonable fracture network model, one of the most critical factors is to understand the true shape, orientation, and location of the fracture. The most often employed models cannot satisfactorily fit the observed data, despite the fact that several probabilistic models have been presented for the modeling of occurrence data. − The Fisher, BiFisher, and Bingham distributions may hold about the same number of occurrence data, according to research. , Non-Fisher distribution models often involve many parameters, and it can be difficult to estimate each parameter precisely, which limits their applicability. Because of its usefulness, the Fisher distribution model is frequently adopted. − …”

Section: Introductionmentioning

confidence: 99%

“… 12 − 15 The Fisher, BiFisher, and Bingham distributions may hold about the same number of occurrence data, according to research. 15 , 16 Non-Fisher distribution models often involve many parameters, and it can be difficult to estimate each parameter precisely, which limits their applicability. Because of its usefulness, the Fisher distribution model is frequently adopted.…”

Section: Introductionmentioning

confidence: 99%

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Natural Fracture Occurrence Model Based on FMI Imaging Logging

Wang

et al. 2023

ACS Omega

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Natural fractures are crucial for connecting with reservoir matrix pores and influencing the fluid velocity in the matrix during unconventional oil and gas development. The development of natural fractures has significant impact on the effectiveness of extraction and even the final recovery factor. The development stage of natural fractures in reservoirs is characterized by fracture density and fracture occurrence, which are the key characteristics. The probabilistic models of fracture occurrence and density that are now available, however, still have several drawbacks. Therefore, a fracture occurrence model that may reflect both inclination and dip angles is proposed in a three-dimensional scenario in this study based on formation micro-imager imaging logging and the elliptic Fisher model. The findings demonstrate the accuracy and clarity of the proposed 3D fracture occurrence model in reflecting the fracture density and occurrence, as well as the superiority of data simulation. The algorithm described in this study is shown to be very close to the real distribution law. The results enable visualization of the fracture density and occurrence, which is crucial for directing engineering practice and assessing the sensitivity of directional data in other domains.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Natural Fracture Occurrence Model Based on FMI Imaging Logging

Wang

et al. 2023

ACS Omega

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“…Discontinuity orientations in rock material are carefully observed when surface and underground excavations are made from efficiency and safety standpoints (Priest, 1993). Their orientation distribution is important for wellbore stability (Chen et al, 2008) and groundwater hydrology (e.g., Panda and Kultilake, 1999;Ohtsu et al, 2008). Accordingly, various clustering techniques for the orientations have been proposed since the 1970s by researchers mainly in civil engineering (e.g., Shanley and Mahtab, 1976;Wallbrecher, 1978;Curran, 1998, 1999;Peel et al, 2001;Marcotte and Henry, 2002;Klose et al, 2005;Jimenez-Rodriguez and Sitar, 2006).…”

Section: Introductionmentioning

confidence: 99%

Clustering of fracture orientations using a mixed Bingham distribution and its application to paleostress analysis from dike or vein orientations

Yamaji

Sato

2011

Journal of Structural Geology

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The clustering and classification of fracture orientations are important in rock mechanics and in brittle tectonics, the latter of which includes the paleostress analysis of extension fractures hosting dikes or mineral veins. Here, we present an unsupervised clustering method for the orientations of extension fractures using mixed Bingham distributions. The method not only detects the elliptical clusters and girdles made by the poles to such planar features, but also determines the appropriate number of those groups by means of Bayesian information criterion (BIC) without a priori information. The method was tested with artificial data sets, and successfully detected the assumed groups, when the clusters had little overlaps. However, clusters with the common maximum concentration orientation and large aspect ratios were distinguished, provided that their minimum concentration orientations were separated by a large angle. Our method separated two stress states from natural data from a Miocene dike swarm in SW Japan. The method also evaluated the probabilities of the stresses to form each of the dike.

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An Application of Risk Assessment Method of Water Inrush in Fractured Rock Masses to Actual Underground Construction Project

Cited by 2 publications

References 1 publication

Natural Fracture Occurrence Model Based on FMI Imaging Logging

Natural Fracture Occurrence Model Based on FMI Imaging Logging

Clustering of fracture orientations using a mixed Bingham distribution and its application to paleostress analysis from dike or vein orientations

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