Evaluation of rock anisotropy using 3D X-ray computed tomography

• Published in: Engineering geology Vol. 163; pp. 11 - 19
• Main Authors: Yun, Tae Sup, Jeong, Yeon Jong, Kim, Kwang Yeom, Min, Ki-Bok
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier B.V 01.08.2013; Elsevier
• Subjects: Anisotropy; Applied sciences; Assessments; Buildings. Public works; Clustering; Density; Exact sciences and technology; Fabrics; Geotechnics; Orientation; Rock; Rock fabric; Soil investigations. Testing; Soil mechanics. Rocks mechanics; Statistics; Three dimensional; X-ray computed tomography; X-rays; Rock fabric; X-ray computed tomography; Clustering; Anisotropy; Statistics; Rock mechanics; Discretization; Site analysis; X ray; Computerized axial tomography; Photomicrography; Texture
• ISSN: 0013-7952; 1872-6917
• DOI: 10.1016/j.enggeo.2013.05.017

The anisotropic nature of fabric and internal structures plays a significant role in fluid flow, heat transfer, and geomechanical behavior in rock. The existence and orientation of anisotropy in various rocks have been evaluated using laboratory experiments and image analyses to characterize anisotropic pore networks, micro-fractures, mineralogy, grain fabric, and stiffness from micro- to macro-scales. We present an assessment of anisotropy in rock by systematic and planar clustering of three-dimensional X-ray attenuation values and associated statistical analysis on the basis that X-ray CT numbers directly represent the internal density of the mineral fabric in the rock mass. Variation in voxel values across the slicing plane for a given orientation enables identification of the unique orientation of anisotropy in rock. The proposed concept is validated using a 3D virtual structure and is applied to four different rock types. The sensitivity of anisotropic features and the image noise effect are further explored to highlight the robustness of the proposed method for evaluating the anisotropy of rock fabrics. •The anisotropy of rock fabric can be evaluated by X-ray CT.•The anisotropy orientation is identified by variation in X-ray attenuation values.•The proposed method is applicable to identify even invisible anisotropy orientation.