Automatic Analysis Of Petrographic Thin Section Images Of Sandstone

Bukharev, Aleksandr; Budennyy, Semen; Pachezhertsev, A. A.; Belozerov, Boris; Zhukovskaya, E. A.; Tugarova, M.A.; Bukhanov, N.; Zakirov, Adel

doi:10.3997/2214-4609.201802177

Cited by 6 publications

(2 citation statements)

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“…This last point is considered as the main advantage of micro-CT. Indeed, the micro-CT technique offers a better visualization of the internal 3D structures of consolidated sandstones than the commonly used 2D characterization tools such as thin-sections with optical microscopy (Davis and Ethridge, 1975;Oren and Bakke, 2002;Asnussen et al, 2015;Bukharev et al, 2018), scanning election microscopy (SEM) (Krinsley et al, 1998;Bera et al, 2011), or simply with the naked eye in the outcrop. Indeed, 2D images, especially 2D thin-section images as presented in this study, do not provide the spatial relationship of sedimentary structures that can be much more complex in 3D (Fig.…”

Section: Micro-ct Vs Thin-section In the Visualization Of Internal Se...mentioning

confidence: 99%

Application of micro-CT to deep-marine outcrop data: towards a new tool to better assess primary sedimentary structures and processes at their origin

Cornard¹,

Degenhart²,

Tropper³

et al. 2022

Preprint

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A new application of micro-CT on consolidated sediment-gravity flow deposits is presented with the objectives to characterize its internal sedimentary three-dimensional (3D) structures. The proposed concept is applied to three types of deep-marine sandstones, sampled in study areas showing different compositional properties: the Upper Cretaceous Gosau Group (Austria), the Eocene Hecho Group (Spain) and the Oligocene Annot Formation (France). From micro-CT data, the particle-size distribution is reconstructed in 3D, permitting a better visualization of the sedimentary structures showing distinct density contrast (grains versus matrix), most of the time, non-visible in 2D. Particle-size distribution show similar trend than grain-size computed from thin-section image analysis, testifying of the reliability of the micro-CT computed particle-size distribution. Because of the limitation of micro-CT to distinguish mineral phases, micro-CT data are complemented by micro-XRF and thin-section petrographic analysis. By separating particles based on their CT-density, it is possible to isolate the coarsest fraction underlying the sedimentary structures from the fine-grained matrix. Although some sedimentary structures do not appear visible from micro-XRF or thin-section analysis, due to too homogeneous mineral composition or grain size in the original flow or similar composition between matrix and grains, micro-CT techniques highlight internal sedimentary structures by isolating the coarsest fraction. This study brings into light (i) the potential of micro-CT and particle-size distribution in the analyses of sedimentary structures from outcrop data and related interpreted processes (sediment transport) and (ii) the importance to consider the mineralogical composition and the degree of grain sorting before to reach any interpretation of the processes at the origin of structureless deposits. Considering the importance of the sedimentary-structure visualization towards a reliable interpretation of processes at the origin of the deposits, micro-CT technique is a new and reliable tool to assess the physical properties of consolidated sandstones and read their internal sedimentary 3D structures.

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Section: Micro-ct Vs Thin-section In the Visualization Of Internal Se...mentioning

confidence: 99%

Application of micro-CT to deep-marine outcrop data: towards a new tool to better assess primary sedimentary structures and processes at their origin

Cornard¹,

Degenhart²,

Tropper³

et al. 2022

Preprint

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“…Instrument-based methods of analysing rocksfor example, X-ray diffraction or fluorescence (XRD, XRF) and low-count energy-dispersive X-ray spectra such as QEMSCAN TMprovide far greater potential for objectivity; however, human expertise must still be applied to results to achieve a similarity ranking, thereby reducing overall objectivity. Most previous attempts to apply digital image analysis to sandstone have had the aim of quantifying specific rock properties such as mineral proportions, grain size, porosity and pore connectivity, rather than achieving a similarity ranking (Chen et al 2001;Moreira et al 2012;Aziz 2013;Bukharev et al 2018). Success has been achieved in automatically calculating these pre-determined parameters by applying colour filters to images and extracting areas that are identified as pore space (Berrezueta et al 2015;Buckman et al 2017).…”

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confidence: 99%

Machine learning applied to pore-space geometry in sandstones: a tool for evaluating grain-scale similarity?

HALL

Gillespie

Everett

et al. 2021

QJEGH

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The ability to identify similar sandstones to a given sample is important where the provenance of the sample is unknown or the quarry of origin is no longer in operation. In the case of building stones from heritage buildings in protected areas, it may be mandatory. Here, a proof of concept for an automated similarity measure is presented by means of a convolutional autoencoder that is able to extract features from a sample thin section and use these features to identify the most similar sample in an existing image library. The approach considers only the shape of the pore space between grains, as, if the pore space alone contains enough information to distinguish between samples, the required image pre-processing and training of a model is greatly simplified. The trained model is able to predict correctly the progenitor quarry of a thin section, from an eight-class dataset of Scottish sandstones, with an accuracy of 47.9%. This prototype, although insufficient for commercial purposes, forms a benchmark for future models against which improvements can be assessed and some of which are suggested.Thematic collection: This article is part of the Digitization and Digitalization in engineering geology and hydrogeology collection available at: https://www.lyellcollection.org/cc/digitization-and-digitalization-in-engineering-geology-and-hydrogeology

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Application of micro‐CT to resolve textural properties and assess primary sedimentary structures of deep‐marine sandstones

Cornard,

Degenhart,

Tropper

et al. 2023

The Depositional Record

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Over the past decade, there has been growing interest in the sedimentological community to use micro X‐ray computed tomography to analyse microfacies in sediment cores. However, little attention has been paid to the application of micro‐computed tomography in lithified deposits, even though this can allow their texture to be characterised in three dimensions, providing key information about sedimentary structures. A novel application of micro‐computed tomography in lithified sediment‐gravity flow deposits is presented with the objective of characterising their internal 3D sedimentary structures. This technique is applied to three deep‐marine sandstones showing different compositional properties: Cretaceous Gosau Group (Austria), Eocene Hecho Group (Spain) and the Oligocene Annot Formation (France). From micro‐computed tomography data the size of particles and their distribution throughout the sample is reconstructed in 3D permitting a better visualisation of sedimentary textures. Particle distributions computed from micro‐computed tomography are similar to those computed from thin section image analysis, corroborating the reliability of the micro‐computed tomography to evaluate grain‐size trends. Micro‐computed tomography is complemented with micro‐X‐ray fluorescence and thin section petrographic analyses. In cases where mineral composition or grain size are homogeneous or matrix and grains have similar mineral composition, sedimentary structures do not appear visible from micro‐X‐ray fluorescence or thin section analyses. By separating particles based on their computed tomography density, it is possible to isolate the coarsest fraction, highlighting the sedimentary structures. This study demonstrates (i) the potential of micro‐computed tomography in analyses of sedimentary structures from outcrop data and (ii) the importance of the mineralogical composition and degree of grain sorting in assessing the origin of structureless deposits. Considering the importance of visualising sedimentary structures when interpreting depositional processes, micro‐computed tomography is a new and reliable tool to assess the physical properties of sandstones and to analyse their internal 3D sedimentary structures.

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Automatic Analysis Of Petrographic Thin Section Images Of Sandstone

Cited by 6 publications

References 0 publications

Application of micro-CT to deep-marine outcrop data: towards a new tool to better assess primary sedimentary structures and processes at their origin

Application of micro-CT to deep-marine outcrop data: towards a new tool to better assess primary sedimentary structures and processes at their origin

Machine learning applied to pore-space geometry in sandstones: a tool for evaluating grain-scale similarity?

Application of micro‐CT to resolve textural properties and assess primary sedimentary structures of deep‐marine sandstones

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