Micro-computed tomography of sandstone rocks: Raw, filtered and segmented datasets

Everton Lucas-Oliveira; Mariane Barsi-Andreeta; Rodrigo F Neumann; Willian A Trevizan; Mathias B Steiner; Tito J Bonagamba

doi:10.1016/j.dib.2022.107893

Micro-computed tomography of sandstone rocks: Raw, filtered and segmented datasets

Data Brief. 2022 Feb 2:41:107893. doi: 10.1016/j.dib.2022.107893. eCollection 2022 Apr.

Authors

Everton Lucas-Oliveira¹, Mariane Barsi-Andreeta¹, Rodrigo F Neumann², Willian A Trevizan³, Mathias B Steiner², Tito J Bonagamba¹

Affiliations

¹ São Carlos Institute of Physics, University of São Paulo, PO Box 369, São Carlos, São Paulo 13560-970, Brazil.
² IBM Research, Rio de Janeiro 20031-170, Brazil.
³ CENPES/Petrobras, Rio de Janeiro 21941-915, Brazil.

Abstract

High-resolution computed micro-tomography is an important area of science, which correlates well with several experimental methodologies and serves as a basis for advanced computational physics studies, in which high-resolution images are used as input to different scientific simulation models. The dataset presented herein includes (raw) grayscale images obtained using the Bruker Skyscan 1272 X-Ray tomograph; filtered images acquired through contrast enhancement and noise reduction filters; and segmented images obtained by using the IsoData segmentation method. All images have a resolution of 2.25 µm (isometric voxels) and size of 1000³ voxels.

Keywords: Digital rock; MicroCT; Permeability; Porosity; Rock core.