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A cluster-based multiparametric similarity test for the compartmentalization of crystalline rocks into structural domains

Abi Attoumane, Walter Julien, Saeidi Ali et Chesnaux Romain. (2022). A cluster-based multiparametric similarity test for the compartmentalization of crystalline rocks into structural domains. Quarterly Journal of Engineering Geology and Hydrogeology,

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URL officielle: http://dx.doi.org/doi:10.1144/qjegh2021-136

Résumé

Usually, fracture sampling studies comprise the collection of several fracture samples, which involve many fracture clusters. Grouping fracture samples into structural domains is generally useful for geologists, hydrogeologists, and geomechanicians as a region of fractured rocks is subdivided into sub-regions with similar behavior in terms of their hydromechanical properties. One of the common methods used for grouping fracture samples into structural domains considers the fracture orientation of clusters and ignores several fracture parameters, such as fracture spacing, aperture, and persistence, which are important for fluid circulation in the rock mass. In this study, we proposed a new cluster-based similarity method that considered the orientation of clusters as well as clusters’ aperture, persistence, and fracture spacing. Field investigations were conducted in the Grenville geological province of the Canadian Shield in the Lanaudière region, Quebec, Canada, where fractures were sampled from 30 outcrops and four boreholes. The proposed method is more suitable than other methods, and has applications in hydrogeology, rock mechanics, and especially in studies of fluid circulation in the rock mass. In addition, a method for the compartmentalization of a given study area into structural domains by means of Voronoi diagrams was also proposed.

Type de document:Article publié dans une revue avec comité d'évaluation
Version évaluée par les pairs:Oui
Date:11 Janvier 2022
Sujets:Sciences naturelles et génie > Génie
Sciences naturelles et génie > Génie > Génie minier et génie géologique
Sciences naturelles et génie > Sciences appliquées
Sciences naturelles et génie > Sciences naturelles > Sciences de la terre (géologie, géographie)
Département, module, service et unité de recherche:Départements et modules > Département des sciences appliquées > Module d'ingénierie
Unités de recherche > Chaire de recherche du Canada en prévision et prévention des risques liés aux aléas hydro-géotechniques (P2GeoRISQUE)
Mots-clés:multiparametric similarity test, crystalline rocks, fracture samples, cluster-based, test de similarité multiparamétrique, roches cristallines, échantillons de fractures, partitionnement de données
Déposé le:16 mars 2022 00:03
Dernière modification:11 janv. 2023 05:00
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