Comparison of sieve and thin-section technique by a Monte-Carlo model

Burger, H.; Skala, Wolfdietrich

doi:10.1016/0098-3004(76)90103-5

Cited by 13 publications

(3 citation statements)

References 7 publications

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“…1). Following thin section cutting, the grain size is determined as the apparent diameter of randomly sectioned particles, which is generally lower than the real or maximum equivalent diameter, a phenomenon known as the corpuscle effect (Wicksell, 1925;Rosenfeld et al, 1953;Burger and Skala, 1976;Boggs, 2009;Lopez-Sanchez and Llana-Fúnez, 2016). In order to gain the real and maximum diameter, particles need to be cut along the equatorial diameter, a peculiar configuration that is rather uncommon in sectioned materials (Krumbein and Sloss, 1963).…”

Section: Particle Size Distribution Analysis Techniques: a Reviewmentioning

confidence: 99%

“…To avoid discrepancy between granulometric data gained from thin section analysis and other methodologies, several correction factors and equations have been developed. Some of them rely on statistical (Chayes, 1950;Burger and Skala, 1976;Kong et al, 2005), stereological (Elias, 1967;Russ, 1986;Sahagian and Proussevitch, 1998;Gallagher et al, 2023), or theoretical-mathematical treatise (Krumbein, 1935;Sahu, 1966;Cruz-Orive, 1983), considering particles as perfect spheres randomly cut along the thin section plane. Other correction methodologies apply statistical autocorrelation functions (Panozzo Heilbronner, 1992), software-aided projections of digitized particle outlines (Panozzo Heilbronner, 1983) or empirical correction equations (Harrell and Eriksson, 1979) to compare results from image analysis with data acquired by sieving.…”

Section: Particle Size Distribution Analysis Techniques: a Reviewmentioning

confidence: 99%

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Particle size distributions in Earth Sciences: a review of techniques and a new procedure to match 2D and 3D analyses

Pizzati,

Mantovani,

Lisotti

et al. 2023

Preprint

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Abstract. Particle size is an essential tool in many research areas spanning from Earth Sciences, Engineering, Material Sciences, Soil Sciences and Pharmacology, among others. Over the last decades, several techniques and methodologies have been developed to calculate particle size distributions on different sample types (i.e., cohesive versus loose), spanning from volumetric (3D) to image-aided (2D) analyses. Here, we (1) present a critical review of most commonly used techniques to calculate particle size distributions from cohesive and loose samples, and (2) we illustrate a new calculation formula to extract reliable 3D grain size distributions from 2D datasets. We propose the use of the “corrected volume-weighted mean diameter” (Dw), as a new particle size descriptor, which results from the summation of products between equivalent particle diameter and particle volume, divided by the total volume of analyzed particles. In this calculation, particles were approximated to perfect circles-spheres, but a shape correction factor was applied to consider deviations from the perfect spherical shape. We tested the accuracy of Dw calculation formula by analyzing 2D datasets acquired from thin sections of 5 selected granular sand samples having different mean grain diameters and grain size distributions (i.e., different sorting degree, grain size distribution width and skewness). Grains were manually digitized, and per each thin section more than 5,000 particles were acquired. Two-dimensional grain size distributions were cross-checked with the results provided via laser diffraction granulometry on the same samples and were compared with previously published and widely used calculation methods. Our promising results encourage the usage of Dw formula as it provides best matching results with 3D laser granulometry and needs basic input parameters that can be easily extracted from any image analysis software.

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Section: Particle Size Distribution Analysis Techniques: a Reviewmentioning

confidence: 99%

Section: Particle Size Distribution Analysis Techniques: a Reviewmentioning

confidence: 99%

Particle size distributions in Earth Sciences: a review of techniques and a new procedure to match 2D and 3D analyses

Pizzati,

Mantovani,

Lisotti

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Objective and quantitative particle size and shape characterization of consolidated sediments (e.g., sandstones) is a complex issue, generally, several compromises have to be taken during particle size and shape analyses as mineral particles and/or lithic fragments of the deposits has to be analysed mostly in thin sections or on disaggregated sediments (Kellerhals, R. et al 1975;Burger, H. and Skala, W. 1976;Barrett, P.J. 1980;Schäfer, A. and Teyssen, T. 1987;Mingireanov Filho, I. et al 2013;Asmussen, P. et al 2015;Jiang, F. et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Granulometric properties of particles in Upper Miocene sandstones from thin sections, Szolnok Formation, Hungary

et al. 2019

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Particle size and shape are among the most important properties of sedimentary deposits. Objective and robust determination of granulometric features of sediments is a challenging problem, and has been standingin the focal point of sedimentary studies for many decades. In this study, we provide an overview of a new analytical approach to characterize particles from thin sections of sandstones by using 2D automated optical static image analysis. The analysed samples are originated from the turbiditic Lower Pannonian (Upper Miocene) sediments of Szolnok Formation. Sandstone samples were analysed from 1,500 to 2,250 m depth range. According to the previous studies: the detrital components are quartz, muscovite, dolomite, K-feldspar and plagioclase. Diagenetic minerals are mostly carbonates (calcite, Fe-dolomite, ankerite, siderite), clay minerals (illite, kaolinite), ankerite, siderite and kaolinite. As the discussed Szolnok Formation is considered as a potential CO 2 storage system (to reduce atmospheric CO 2 concentration), special attention has to be paid on grain size and shape alteration evaluation, since pore water-rock interactions affected by CO 2 injection may cause changes in particle properties. The primarily aim of the present study was to develop a method for effective characterization of the particle size and shape of sandstones from thin sections. We have applied a Malvern Morphologi G3SE-ID automated optical static image analyser device, what is completed with a Raman spectrometer. Via the combined analysis of granulometry and chemical characterization, it was obvious that there were specific relationships among various grain shape parameters (e.g., circularity values correlate to width and length ratios, as well as to convexity) and the results indicated that based simply on particle shapes, muscovites can be effectively separated from other minerals. Quartz and feldspar grains showed the highest variability in shapes as these are detrital ones, and sometimes arrived as lithic fragments from which other parts were dissolved The size and shape of carbonate minerals depends highly on the original pore size and shape because these minerals are mainly diagenetic. The shape of detrital dolomites depends on diagenetic ankerite, as it replaces the rim of dolomites.

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Photo‐sieving: A method for grain‐size analysis of coarse‐grained, unconsolidated bedding surfaces

Ibbeken

Schleyer

1986

Earth Surf Processes Landf

107

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The photo-sieving method enables the grain-size analysis of particles > 10 mm from unconsolidated openwork bedding surfaces. The accuracy is equal to the machine-sieving method. The sediment surface is photographed in the field using a camera stand. The enlarged print is digitized for computer processing by tracing the outlines of the pebbles. From the size and shape of the projection area of the individual pebble images the computer determines the ellipsoids of revolution, classifies these ellipsoids, and establishes their grain-size distribution in percentage by weight. Thus photo-sieving differs distinctly from pointcounting techniques. With the aid of photo-sieving, the surface grain-size distributions of larger sedimentary systems may be regularly mapped. Alluvial fans, braided rivers, both onshore and offshore coasts or areas of relict sediments and manganese nodules are suitable for this method.

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Comparison of sieve and thin-section technique by a Monte-Carlo model

Cited by 13 publications

References 7 publications

Particle size distributions in Earth Sciences: a review of techniques and a new procedure to match 2D and 3D analyses

Particle size distributions in Earth Sciences: a review of techniques and a new procedure to match 2D and 3D analyses

Granulometric properties of particles in Upper Miocene sandstones from thin sections, Szolnok Formation, Hungary

Photo‐sieving: A method for grain‐size analysis of coarse‐grained, unconsolidated bedding surfaces

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