Relevant bibliographies by topics / Grain size distribution by sieve analysis

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Academic literature on the topic 'Grain size distribution by sieve analysis'

Author: Grafiati
Published: 4 June 2025
Last updated: 7 July 2025

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Journal articles on the topic "Grain size distribution by sieve analysis"

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Hur, Ju-Yeong, and Se-Hyeon Cheon. "Smartphone Digital Image Processing Method for Sand Particle Size Analysis." Journal of Korean Society of Coastal and Ocean Engineers 35, no. 6 (2023): 164–72. http://dx.doi.org/10.9765/kscoe.2023.35.6.164.

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The grain size distribution of sand provides crucial information for understanding coastal erosion and sediment deposition. The commonly used sieve analysis for grain size distribution analysis has limitations such as time-consuming processes and the inability to obtain information about individual particle shapes and colors. In this study, we propose a grain size distribution analysis method using smartphone digital images, which is simpler and more efficient than the sieve analysis method. During the image analysis process, we effectively detect particles from relatively low-resolution smartphone digital images by extracting particle boundaries through image gradient calculation. Using samples collected from four beaches in Gyeongsangbuk-do, we compare and validate the proposed boundary extraction image analysis method with the analysis method that does not extract boundaries, against sieve analysis results. The proposed method shows an average error rate of 8.21% at <i>D</i><sub>50</sub>, exhibiting a 65% lower error compared to the method without boundary extraction. Therefore, grain size distribution analysis using smartphone digital images is convenient, efficient, and demonstrated accuracy comparable to sieve analysis.
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B., Padmini, Likitha B., Venkata Kamesh B., Deepika B., Jagadeesh N, and Santhosh Kumar D. "Grain Fineness Number of Various River Sands for Metal Casting." Research and Reviews: Journal of Mechanics and Machines 3, no. 1 (2021): 1–5. https://doi.org/10.5281/zenodo.4817506.

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<em>The Grain Fineness Number (GFN) is the quantitative indication of the grain size distribution of the sand Sample by carrying out sand sieve analysis. The current manuscript aims to determine the value of GFN of various river sands. I.e. to determine the suitability of sand with the physical requirements of sand moulding. Calculating the grain fineness number gives an estimate of the average grain size of the sand sample. The grain size distribution influences the properties of sand as follow refractoriness, green strength, dry strength, hot Strength, permeability, compatibility. Permeability is the gas evolution capability of the moulding sand. A sand contained a wide range of particle size will have low permeability as compared to that containing grains of average fineness. Sand that is too fine or too coarse can affect the quality of casting produced. Different sands have different GFN values and they are used for variety of castings. According to ASTM (American society for testing and materials) the standard values are in between 35 to 90 GFN and it is suitable for both medium and heavy meatal casting. If the grain fineness number is in between 35 to 90 then the sand is suitable for moulding. It is evident from the results that samples 1, 2 and 3 river sands selected from Nagavali, Godavari, Krishna rivers respectively are suitable for sand moulding whose values of GFN are between 35-90. On the other side sample4, beach sand is possessing GFN of less than 30, hence not suitable for moulding</em>
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Venkata Sai Prasad, Garapati, Hari Naga Prasad Chenna, Akella Naga Sai Baba, Prashant Hugar, P. Pavani, and Nikolai Ivanovich Vatin. "Evaluation of Grain Size Distribution by Digital Image Processing." MATEC Web of Conferences 392 (2024): 01007. http://dx.doi.org/10.1051/matecconf/202439201007.

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Sieve analysis tests are frequently used to determine the grain size distribution of granular materials. This project proposes an ImageJbased image analysis approach for evaluating aggregate particle size distribution. Grain size in image analysis should be estimated to compare the graduation curves between the two methods.. Black sheets were more effective than white sheets for particle placement, perhaps due to light effects. This technology may be utilized for in-suit testing, as it requires a camera and computer. The study used monochromatic light and a highdefinition camera to capture grain photos while controlling for background, light direction, and intensity. A ground truth was established to evaluate errors in determining grain areas. All grain shape parameters are obtained using the ImageJ program. The grain size distribution curve is generated using image analysis.
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Fredlund, Murray D., D. G. Fredlund, and G. Ward Wilson. "An equation to represent grain-size distribution." Canadian Geotechnical Journal 37, no. 4 (2000): 817–27. http://dx.doi.org/10.1139/t00-015.

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The grain-size distribution is commonly used for soil classification; however, there is also potential to use the grain-size distribution as a basis for estimating soil behaviour. For example, much emphasis has recently been placed on the estimation of the soil-water characteristic curve. Many methods proposed in the literature use the grain-size distribution as a starting point to estimate the soil-water characteristic curve. Two mathematical forms are presented to represent grain-size distribution curves, namely, a unimodal form and a bimodal form. The proposed equations provide methods for accurately representing uniform, well-graded soils, and gap-graded soils. The five-parameter unimodal equation provides a closer fit than previous two-parameter, log-normal equations used to fit uniform and well-graded soils. The unimodal equation also improves representation of the silt- and clay-sized portions of the grain-size distribution curve.Key words: grain-size distribution, sieve analysis, hydrometer analysis, soil classification, probability density function.
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Bong, Charles Hin Joo. "Statistical Analysis and Determination of Representative Size for Sediment in Malaysian Urban Drains." Journal of Applied Science & Process Engineering 5, no. 2 (2018): 286–95. http://dx.doi.org/10.33736/jaspe.950.2018.

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This paper highlights the statistical analysis done on sediment samples collected from concrete drains in Malaysian major urban areas in order to understand the characteristics of the sediment and also to determine the suitable representative grain size. Samples were collected from 12 urban areas in Peninsular Malaysia and 3 urban areas in East Malaysia and subjected to sieve analysis. Sieve analysis results had shown that the major component of the collected sediment samples was sand with a mean value of 72.2%, followed by gravel with a mean of 24.7% and silt and clay with a mean of 3.1%. Samples from 10 locations have shown a non normal distribution with the tenderness to skew to the right. Due to this, the conventional use of median grain size, d50 as the effective size for sediment samples might not be a good representation for the sediment distribution. Further statistical analysis in this paper have suggested that the mode grain size is a much better representative grain size due to its stability when compared to median and mean size. Thus, a much better representative for the sediment samples from Malaysian urban areas would be the mode size (in this case is d20).
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Ubani, Chikwendu E., Goodness O. Ani, and Toluope T. Womiloju. "Permeability Estimation Model from Grain Size Sieve Analysis: Data of Onshore Central Niger Delta." European Journal of Engineering Research and Science 3, no. 12 (2018): 119–25. http://dx.doi.org/10.24018/ejers.2018.3.12.503.

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Permeability is an important property of the soil and studies have shown that grain size distribution is a controlling factor to this property. Establishing an empirical equation that shows the relationship between permeability and grain size has been previously investigated by several researchers, all of whom have been able to develop models for fast permeability prediction using grain size data. But because of the complexity of permeability and the Earth’s anisotropic nature, the confidence level of using this models is low as was seen when a comparison was carried out in this project using some of these models. The aim of this project is to develop a model using grain sieve analysis data for permeability prediction tailored to the Niger Delta region. Using statistica7 software, multiple regression analysis was performed on the grain size distribution data from sieve analysis using parameters P10, P90 and mean grain size distribution. Three models were developed for permeability ranges of less than 10mD to greater than 10000mD with R2 values of (0.857, 0.820, 0.939) showing a good data and regression fitting and R values of (0.926, 0.906, 0.969) showing strong positive correlation between variables. Permeability values obtained from routine core analysis was compared to the predicted permeability gotten from the model equation produced by the regression analysis. The models displayed good correlation with the routine core analysis values as seen on the validation charts plotted. A coloured schemed 3-D surface plot was generated to display the integrated effect of the grain size and density on permeability. The sensitivity analysis carried out showed that proper grain sorting is essential in permeability prediction.
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Ubani, Chikwendu E., Goodness O. Ani, and Toluope T. Womiloju. "Permeability Estimation Model from Grain Size Sieve Analysis: Data of Onshore Central Niger Delta." European Journal of Engineering and Technology Research 3, no. 12 (2018): 119–25. http://dx.doi.org/10.24018/ejeng.2018.3.12.503.

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Permeability is an important property of the soil and studies have shown that grain size distribution is a controlling factor to this property. Establishing an empirical equation that shows the relationship between permeability and grain size has been previously investigated by several researchers, all of whom have been able to develop models for fast permeability prediction using grain size data. But because of the complexity of permeability and the Earth’s anisotropic nature, the confidence level of using this models is low as was seen when a comparison was carried out in this project using some of these models. The aim of this project is to develop a model using grain sieve analysis data for permeability prediction tailored to the Niger Delta region. Using statistica7 software, multiple regression analysis was performed on the grain size distribution data from sieve analysis using parameters P10, P90 and mean grain size distribution. Three models were developed for permeability ranges of less than 10mD to greater than 10000mD with R2 values of (0.857, 0.820, 0.939) showing a good data and regression fitting and R values of (0.926, 0.906, 0.969) showing strong positive correlation between variables. Permeability values obtained from routine core analysis was compared to the predicted permeability gotten from the model equation produced by the regression analysis. The models displayed good correlation with the routine core analysis values as seen on the validation charts plotted. A coloured schemed 3-D surface plot was generated to display the integrated effect of the grain size and density on permeability. The sensitivity analysis carried out showed that proper grain sorting is essential in permeability prediction.
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Layade, Gideon, Charles Ogunkoya, Victor Makinde, and Kehinde Ajayi. "Assessment and Analysis of Precambrian Basement Soil Deposits Using Grain Size Distribution." Materials and Geoenvironment 66, no. 4 (2020): 235–43. http://dx.doi.org/10.2478/rmzmag-2019-0019.

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AbstractThe article presents the grain size distribution of soil samples from the Precambrian basement within the purview of the textural properties, deduced transportation history and the numerical assessments using statistical parameters. The fourteen soil samples collected from the study area were subjected to sieve analysis in the laboratory for the determination of their grain size distribution. The statistical parameters’ study includes the graphic mean, skewness, sorting and kurtosis. The result of the analysis of the soil samples ranged from coarse to fine-grained samples, moderately and poorly sorted, positively and negatively skewed and the kurtosis also shows leptokurtic as the most dominant which suggests the samples poorly distributed and moderately sorted at the centre of the grain size distribution. These results also suggest the geological environment of the soil samples could be responsible for the poorly and moderately sorted exhibited by the samples deposited in the location.
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Purnawan, Syahrul, Tengku Putra Fajran Alamsyah, Ichsan Setiawan, Rizwan, Maria Ulfah, and Sayyid Afdhal El Rahimi. "SEDIMENT DISTRIBUTION ANALYSIS IN BALOHAN BAY, SABANG." Jurnal Ilmu dan Teknologi Kelautan Tropis 8, no. 2 (2017): 531. http://dx.doi.org/10.28930/jitkt.v8i2.15812.

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&lt;em&gt;We investigated the sediment properties and distribution in Balohan Bay, which is located in southern Weh Island, Aceh Province. The aim of this research was to clarify the sediment distribution mechanism in the Balohan Bay using a statistical approach. Samples were collected on January 2016 using coring method. Sediment grain-size distribution from 14 stations was obtained using wet sieve analysis. A large amount of fine sand and very fine sand were found in Balohan Bay, as a result of several tributaries discharged in those areas. The sediment distribution in eastern stations showed an indication as a coarser size and a poorer sorted area, as they were adjacent to the steep cliff.&lt;/em&gt;
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Purnawan, Syahrul, Tengku Putra Fajran Alamsyah, Ichsan Setiawan, Rizwan, Maria Ulfah, and Sayyid Afdhal El Rahimi. "SEDIMENT DISTRIBUTION ANALYSIS IN BALOHAN BAY, SABANG." Jurnal Ilmu dan Teknologi Kelautan Tropis 8, no. 2 (2017): 531–38. http://dx.doi.org/10.29244/jitkt.v8i2.15812.

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We investigated the sediment properties and distribution in Balohan Bay, which is located in southern Weh Island, Aceh Province. The aim of this research was to clarify the sediment distribution mechanism in the Balohan Bay using a statistical approach. Samples were collected on January 2016 using coring method. Sediment grain-size distribution from 14 stations was obtained using wet sieve analysis. A large amount of fine sand and very fine sand were found in Balohan Bay, as a result of several tributaries discharged in those areas. The sediment distribution in eastern stations showed an indication as a coarser size and a poorer sorted area, as they were adjacent to the steep cliff.
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Dissertations / Theses on the topic "Grain size distribution by sieve analysis"

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Onur, Emine Mercan. "PREDICTING THE PERMEABILITY OF SANDY SOILS FROM GRAIN SIZE DISTRIBUTIONS." Kent State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1389550812.

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Mannesson, Karin. "WC grain growth during sintering of cemented carbides : Experiments and simulations." Doctoral thesis, KTH, Metallografi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-32430.

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Cemented carbides are composite materials consisting of a hard carbide and a ductile binder. They are powdermetallurgically manufactured, where liquid-phase sintering is one of the main steps. The most common cemented carbide consists of WC and Co and it is widely used for cutting tools. Two of the most important factors controlling the mechanical properties are the WC grain size and the grain size distribution and thus it is of great interest to understand the grain growth behavior. In this thesis the grain growth during sintering at 1430 °C is studied both experimentally and through computer simulations. The grain growth behavior in cemented carbides cannot be explained from the classical LSW-theory. The WC grains have a faceted shape necessitating growth by 2-D nucleation of new atomic layers or surface defects. A new model based on 2-D nucleation, long-range diffusion and interface friction is formulated. Three powders having different average sizes are studied and both experiments and simulations show that a fine-grained powder may grow past a coarse-grained powder, indicating that abnormal grain growth has taken place in the fine-grained powder. Fine-grained powders with various fractions of large grains are also studied and it is seen that a faster growth is obtained with increasing fraction of large grains and that an initially slightly bimodal powder can approach the logaritmic normal distribution after long sintering times. The grain size measurements are performed on 2-D sections using image analysis on SEM images or EBSD analysis. Since the growth model is based on 3-D size distributions the 2-D size distributions have to be transformed to 3-D, and a new method, Inverse Saltykov, is proposed. The 2-D size distribution is first represented with kernel estimators and the 3-D size distribution is optimized in an iterative manner. In this way both negative values in the 3-D size distribution and modifications of the raw data are avoided.<br>QC 20110426
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Catalot-Martinent, Valérie. "Étude de suspensions ciment alumineux-eau : corrélations rhéologie-granularité-compacité." Grenoble INPG, 1997. http://www.theses.fr/1997INPG4209.

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Dans cette etude nous nous sommes interesses aux relations entre les proprietes intrinseques d'une poudre comme sa granularite et sa compacite et son comportement rheologique en suspension dans l'eau. Le poudre etudiee est un ciment presentant une courbe granulometrique tres etalee (0 - 100m). Nous avons realise une etude systemique. Elle consiste a fractionner le ciment en plusieurs populations (quatre). Ces fractions ont ete melangees afin d'obtenir des populations presentant des courbes granulometriques tres variees. Nous avons caracterise ces poudres : etude granulaire, compacite, et etudie le comportement rheologique de ces poudres en suspension. Les tests d'ecoulement ont ete realises a l'aide d'un rheometre a contrainte impose. Les correlations observees entre la rheologie et la granularite peuvent s'expliquer par la combinaison de deux phenomenes mis en evidence par le melange : le phenomene de surface et d'agglomeration des particules fines et le phenomene de sedimentation des grosses particules. Nous observons un ecoulement maximum entre deux diametres, dans cette zone, nous montrons que le comportement rheologique est fonction de l'etalement granulaire et de la compacite de la poudre autrement dit de l'arrangement des grains.
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Nazih, Abdelhamid. "Applications de la spectroscopie par corrélation de photons à : 1) la granulométrie des imbrûlés : 2) la vélocimétrie." Rouen, 1989. http://www.theses.fr/1989ROUES030.

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Mesure de la distribution granulométrique de particules de suies dans un tunnel de dilution. Application d'une méthode vélocimétrique basée sur l'annulation de la fonction de corrélation de l'intensité à des temps finis. Bon accord des résultats expérimentaux et des prévisions théoriques
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ROGER, BERTRAND. "Repartition et localisation des metaux traces dans les sediments : application a l'estuaire de la loire." Nantes, 1987. http://www.theses.fr/1987NANT2021.

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La premiere partie methodologique porte sur la validite des schemas de mineralisations selectives actuels. La comparaison de deux schemas permet de mettre en evidence l'importance des readsorptions en cours de mineralisation sur les phases encore presentes. Il est necessaire de conserver a l'echantillon toute son integrite lors des attaques effectuees pour determiner la disponibilite vraie des metaux. La deuxieme partie traite du comportement des metaux lies au sediment dans l'estuaire de la loire. La covariance des teneurs en metaux avec la granulometrie et le carbone organique reste bonne tout au long de l'estuaire et les speciations ne font pas etat d'evolutions notables de repartitions lors du transit estuarien
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Gorecki, Christophe. "Classification par échantillonnage de la densité spectrale d'énergie : Application à l'étude statistique des surfaces et à l'analyse de particules." Besançon, 1989. http://www.theses.fr/1989BESA2015.

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Etude d'un profilometre optique base sur la defocalisation d'un faisceau de lumiere blanche. Etude de deux dispositifs optonumeriques d'analyse statistique utilisant les techniques de fourier optiques: un analyseur de particules et un dispositif de classement automatique des surfaces non polies
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Idrissi, Bougrine Aziz. "Ecoulement en conduite de melange solide-liquide : champ des vitesses en ecoulement vertical." Université Louis Pasteur (Strasbourg) (1971-2008), 1987. http://www.theses.fr/1987STR13088.

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Etude de l'effet de la taille des particules solides et de leur concentrations sur l'allure des profils de vitesses des suspensions en ecoulement vertical ascendant dans une conduite. Etude experimentale par anemometrie ultrasonore
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Parmentier, Alain. "Acquisition de cartes denses pour la génération et le contrôle de formes vestimentaires." Valenciennes, 1994. https://ged.uphf.fr/nuxeo/site/esupversions/96d52b8e-37f9-4146-8eaf-405f79a9426f.

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Cet expose concerne une application au contrôle de formes vestimentaires en confection. Un premier chapitre décrit des aspects liés au cadre d'application. L'élasticité, la souplesse des formes vestimentaires interdisent tout contrôle impliquant des palpeurs mécaniques. Un second chapitre consacre un état de l'art a des méthodes optiques ou ultrasonores. Un plan de traçage optique est retenu afin de contrôler des régions vestimentaires, à lentes variations de courbure et a réflectances lambertiennes. La pupille de sortie du montage, qui élargit un faisceau laser en un plan lumineux, s'apparente à une fente fine qui diffracte à l'infini. Décrit dans un troisième chapitre, le protocole expérimental présente plus particulièrement un atelier photographique, un calibre de formes et des modes d'habillage adaptés aux comportements textiles des tissus étudiés. Malgré un faible équipement, la production photographique est adaptée a des contraintes spécifiques. Un quatrième chapitre présente des outils de contrôle photographique et d'analyse d'images. La granularité laser affecte les images des motifs de lumière structurée. Localement, l'image de la trace du plan laser est identifiée par une corde. Cette approximation implique une discrimination radiométrique selon une loi statistique. Un filtrage morphologique permet d'isoler efficacement les images des motifs de lumière structurée. Un cinquième chapitre présente un environnement industriel logiciel requis par la conduite d'une application prototype, une évaluation expérimentale en fonction d'états de surfaces vestimentaires et des perspectives de développement. Indépendamment de leurs états de surfaces, le contrôle de formes vestimentaires dépend de spécifications morphologiques appropriées à des types de vêtements.
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Lwamba-Si-Bomve, Elie. "Optimisation of the grain size distribution of the raw material mixture in the production of iron sinter." Diss., 2008. http://hdl.handle.net/2263/27727.

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The main purpose of this study was to optimise the grain size distribution of the raw material mixture for the production of iron sinter. It well known that the constitution of the sinter mix is based on the knowledge of chemical composition and grain size distribution. Although Mittal Vanderbijlpark has fixed specifications on the physical and chemical properties of the sinter for optimal blast furnace performance, the particle size distribution of the sinter mix has not yet been optimized. This was achieved by using the granulation characteristics of the sinter mix and the green bed permeability tests. The influence of the moisture content of the feed, granulation time, and mean granule diameter on permeability was investigated on Thabazimbi and Sishen iron ore, as well as on their mixture with fluxes and without fluxes. The iron ore results indicated that the mixture containing 20% Thabazimbi iron ore and 80% Sishen iron ore with fluxes where the coke, lime and return fines were sized by removing the – 0.5 mm size fraction of the return fines and coke, and the 1 mm size fraction of lime has the highest permeability of all the studied mixtures. The sintering properties of the mixtures of optimised grain size distributions were also investigated and the results were very similar for all the mixtures and better than the base case mixture, which was not optimised with respect to grain size distribution.<br>Dissertation (MEng)--University of Pretoria, 2008.<br>Materials Science and Metallurgical Engineering<br>unrestricted
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WU, CHRIS KUNG. "COMPUTER AIDED GRAIN SIZE DISTRIBUTION ANALYSIS OF POLYCRYSTALLINE MATERIALS." Thesis, 1986. http://hdl.handle.net/1911/13204.

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Books on the topic "Grain size distribution by sieve analysis"

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Generazio, Edward R. Determination of grain size distribution function using two-dimensional Fourier transforms of tone pulse encoded images. National Aeronautics and Space Administration, 1986.

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Generazio, Edward R. Determination of grain size distribution function using two-dimensional Fourier transforms of tone pulse encoded images. National Aeronautics and Space Administration, 1986.

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Book chapters on the topic "Grain size distribution by sieve analysis"

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Mir, Bashir Ahmed. "Particle or Grain Size Distribution of Soils by Sieve Analysis." In Manual of Geotechnical Laboratory Soil Testing. CRC Press, 2021. http://dx.doi.org/10.1201/9781003200260-4.

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Ungár, T., and J. Gubicza. "Grain Size, Size-Distribution and Dislocation Structure from Diffraction Peak Profile Analysis." In Ultrafine Grained Materials II. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118804537.ch67.

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Ohara, Masato, Akifumi Ogawa, Takanori Kitada, and Satoshi Takeda. "Heterogeneous Reactivity Effect Analysis of Pu Spots Considering Grain Size Distribution Based on MOC." In Springer Proceedings in Physics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1023-6_61.

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AbstractIn the process of Mixed Oxide (MOX) fuel fabrication, plutonium grains, called plutonium spots (Pu spots), occur in MOX fuel because uranium and plutonium cannot be mixed completely. The previous study showed that the prediction accuracy of criticality is improved by considering the heterogeneity of Pu spots in MOX fuel in the analysis of some critical experiments. The analysis of the heterogeneity has been performed by Monte Carlo calculations, to ensure that core geometry and self-shielding effects are accurately considered in nuclear calculations. However, the results of Monte Carlo calculations are obtained with the statistical errors, thus the small reactivity worth is difficult to be analyzed. Therefore, in the previous study, the heterogeneous model by using a method devised by R. Sanchez was introduced into OpenMOC that is deterministic calculation code. Although there are numerous sizes of Pu spots in MOX fuel, an only single size of the grain could be considered in the modified OpenMOC. Therefore, in this study, the modified OpenMOC code was additionally modified to consider the grain size distribution of Pu spots.The calculation result obtained by the additionally modified OpenMOC shows that the heterogeneous reactivity effect caused by numerous grain sizes of Pu spots is evaluated at −0.190%Δk/kk’ at highly enriched fuels. On the other hand, a heterogeneous reactivity effect by single grain size is evaluated at −0.225%Δk/kk’. The additionally modified OpenMOC makes it possible to study the effect of considering the grain size distribution of Pu spots in MOX fuel.
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Al-Dousari, Noor, Modi Ahmed, Ali Al-Dousari, Musaad Al-Daihani, and Murahib Al-Elaj. "Dust Particle Size and Statistical Parameters." In Atlas of Fallen Dust in Kuwait. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66977-5_3.

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AbstractGrain ‘size’ can be specified and measured in several different ways. All methods of grain size determination have blemishes, and the choice of the most appropriate method is governed by the nature of the sample and the use to which the data are placed. Four main methods are currently used for size analysis of sands: (a) sieving; (b) settling tube analysis; (c) electro-optical methods, including Coulter Counter analysis and laser granulometry; and (d) computerized image analysis. The classification of the particle size distribution of Kuwait dust was mapped according to the parameters proposed by Folk And Ward (1957) which were widely used for quantitative comparisons between natural grain size distribution and the lognormal distribution that shows better sorted sediments have lower values of σ1. Maps of the distribution of dust in Kuwait were obtained that included: fine sand (F.S.), Coarse sand (C.S), Medium Sand (M.S), Very Fine Sane (V.F.S), Very Coarse Silt (V.C.Silt), Coarse Silt (C.Silt), Medium Silt (M.Silt), Fine Silt (F.Silt), Very Fine Silt (V.F.Silt), in addition to that, the deposition percentage of Clay, Sand, mud (silt plus clay) and silt were provided.
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Mazlan, Nurul Haryani, Bakhtiar Affandy Othman, Khairunnisa Mat Said, Dayang Zulaika Abang Hasbollah, and Ramesh Bhatawdekar. "A Study on the Particle Size Distribution of Sand: Sieve Analysis and Laser Diffraction Method." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-6072-8_1.

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Jiang, Mingjing, Huali Jiang, and Banglu Xi. "DEM Analysis of the Effect of Grain Size Distribution on Vibroflotation Without Backfill." In Proceedings of GeoShanghai 2018 International Conference: Ground Improvement and Geosynthetics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0122-3_5.

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Peng, Ming, Qingxi Zhao, Danyi Shen, et al. "Grain Size Distribution Analysis of Landslide Dams Caused by Dynamic Accumulation of Weathered Rock Landslides Using Discrete Element Modelling." In Computational and Experimental Simulations in Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-42515-8_27.

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Dinastiyanto, T., H. C. Hardiyatmo, and E. P. A. Pratiwi. "Post-liquefaction Analysis Using Standard Penetration Test Data and Grain Size Distribution Test at Irrigation Canal in Sidera Village." In Advances in Civil Engineering Materials. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0751-5_81.

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Gkiousas-Kapnisis, Marios, Edward Andò, Alessandro Tengattini, Itai Einav, and Gioacchino Viggiani. "Development of Image Analysis Tools to Evaluate In-Situ Evolution of the Grain Size Distribution in Sand Subjected to Breakage." In Springer Series in Geomechanics and Geoengineering. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13506-9_36.

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Afonso, Camila, Eduardo Neves, Adriano Teixeira, and Manuela M. Carvalho. "Impact of the New European Standardisation on Soil Laboratory Routines and Test Results: The Case of Grain Size Distribution Analysis." In Advances in Geoengineering, Geotechnologies, and Geoenvironment for Earth Systems and Sustainable Georesources Management. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25986-9_6.

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Conference papers on the topic "Grain size distribution by sieve analysis"

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Zhang, Shutong, Alex Bridges, John Shingledecker, Tapasvi Lolla, and Rohan Acharya. "Statistical Analysis and Effect of Product Chemistry and Grain Size on the High Temperature Creep Properties of 316 Stainless Steels." In AM-EPRI 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.am-epri-2024p1300.

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Abstract This study investigates the influences of product chemistry and grain size on the high-temperature creep properties of 316 stainless steels by analyzing an extensive range of historical and modern literature data. The investigated 316 stainless steel creep property dataset, including more than 160 heats and 2,400 creep testing data, covers a wide spectrum of elemental compositions and product forms. To perform a prudent analysis of the creep property dataset, a statistical overview was first implemented to understand the data distribution relevant to data sources, chemistries, product forms, testing temperatures, and grain sizes. The creep data of 550°C, 600°C, 650°C, 700°C, and 750°C with ±10°C were grouped together, and the analytical study was performed on each sub dataset to investigate the temperature-specific creep performance. The creep strength was evaluated using the average stress ratio (ASR) between the experimental and predicted creep data of tested 316SS heats. The influence of composition and grain size on the creep strength ratio were evaluated using linear correlation analysis. Effects of specified and non-specified elements including C, N, and B were specifically investigated to understand their impacts on the creep strength with regards to the variation of creep temperature. In addition to the literature data, the most recent EPRI creep data of three commercial heats were used to validate the correlations from the historical creep property dataset.
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Harless, Nikki, John Shingledecker, Kyle Stoodt, Kevin Cwiok, and Anand Kulkarni. "Impact of Three Additive Manufacturing Techniques on Microstructure and Creep Damage Development in Alloy 718." In AM-EPRI 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.am-epri-2024p0338.

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Abstract Inconel 718 is a nickel-based superalloy known for its excellent combination of high-temperature strength, corrosion resistance, and weldability. Additive Manufacturing (AM) has revolutionized traditional manufacturing processes by enabling the creation of complex and customized components. In this work, three prominent AM techniques: Laser-Based Powder Bed Fusion (PBF), Wire Direct Energy Deposition (DED), and Binder Jet (BJ) processes were explored. A thorough metallographic analysis and comparison of samples was conducted after short-term creep testing originating from each of the three aforementioned techniques in addition to wrought material. Detailed electron microscopy unveiled equiaxed grains in both BJ and wrought samples while PBF samples displayed elongated finer grain structures in the build direction, characteristic of PBF. The DED samples revealed a more bimodal grain distribution with a combination of smaller equiaxed grains accompanied by larger more elongated grains. When assessing the three processes, the average grain size was found to be larger in the BJ samples, while the PBF samples exhibited the most significant variation in grain and sub-grain size. Number density, size, and shape of porosity varied between all three techniques. Post-creep test observations in PBF samples revealed the occurrence of wedge cracking at the failure point, accompanied by a preference for grain boundary creep void formation while BJ samples exhibited grain boundary creep void coalescence and cracking at the failure location. In the DED samples, void formation was minimal however, it seemed to be more prevalent in areas with precipitates. In contrast, the wrought sample showed void formation at the failure site with a preference for areas with primary carbide formation. Despite BJ samples demonstrating similar or even superior rupture life compared to other AM techniques, a noteworthy reduction in rupture ductility was observed. While a coarse, uniform grain size is generally linked to enhanced creep resistance and rupture life, the combination of pre-existing voids along grain boundaries and the formation of new voids is hypothesized to accelerate rapid fracture, resulting in diminished ductility. This research shows careful consideration is needed when selecting an AM technology for high- temperature applications as creep behavior is sensitive to the large microstructural variations AM can introduce.
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Salvatori, I., L. Alleva, C. Duret-Thual, D. Thierry, E. Trillo, and J. W. Martin. "Assessment of the Hydrogen Induced Stress Cracking Resistance of Precipitation Hardened Nickel-based Alloys Using the Slow Strain Rate Tensile Test Method: Influence of Microstructure." In CORROSION 2019. NACE International, 2019. https://doi.org/10.5006/c2019-13365.

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Abstract Within the framework of a Joint Industrial Project sponsored by several petroleum companies, the behavior of several Precipitation Hardened (PH) Ni-based alloys with respect to Hydrogen Induced Stress Cracking (HISC) resistance was studied, using the Slow Strain Rate Tensile (SSRT) test method conducted under hydrogen charging conditions (applying a constant cathodic current density throughout the test). Among the test materials, several industrial Heats of UNS N07718, UNS N09945/945X, UNS N09925, UNS N09935, UNS N07725 and UNS N07716 were evaluated. A detailed microstructural analysis was performed on each heat, at different levels, involving SEM and TEM examinations at high magnification on etched samples, to reveal the phases present at grain boundaries. Methodologies were developed to quantify the grain boundary coverage (length of precipitates at grain boundary divided by the total grain boundary length), and to study the distribution in size (equivalent diameter, surface, shape factor) of the grain boundary precipitates, and applied to the studied materials. Elemental chemical analysis of the precipitates was also conducted by Energy Dispersive X-ray spectrometry. The performance of the different alloys with respect to HISC resistance is discussed on the basis of the plastic elongation obtained in the SSRT tests under cathodic polarization, the microstructural features and the microstructural criteria given in the API 6A CRA standard.
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Singh, Anil, Boian T. Alexandrov, Michael J. Mills, Samuel J. Luther, Steven L. McCracken, and Jonathan K. Tatman. "Quantification of Dynamic Recrystallization and Its Relation to Imposed Mechanical Energy and Ductility Dip Cracking in High-Chromium Nickel Alloy Groove Welds." In AM-EPRI 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.am-epri-2024p0984.

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Abstract Ductility dip cracking (DDC) is known to occur in highly restrained welds and structural overlays made using high chromium (Cr) nickel (Ni) based filler metals in the nuclear power generation industry, resulting in costly repairs and reworks. Previous work explored the role of mechanical energy imposed by the thermo-mechanical cycle of multipass welding on DDC formation in a highly restrained Alloy 52 filler metal weld. It was hypothesized that imposed mechanical energy (IME) in the recrystallization temperature range would induce dynamic recrystallization (DRX), which is known to mitigate DDC formation. It was not shown however that IME in the recrystallization temperature range (IMERT) induced DRX. The objective of the work is to discern if a relationship between IMERT and DRX exists and quantify the amount of DRX observed in a filler metal 52 (FM-52) groove weld. DRX was analyzed and quantified using electron beam scattered diffraction (EBSD) generated inverse poll figures (IPF), grain surface area and grain aspect ratio distribution, grain orientation spread (GOS), kernel average misorientation (KAM), and grain boundary (GB) length density. From the analysis, GOS was determined to be an unsuitable criterion for quantifying DRX in multipass Ni-Cr fusion welds. Based on the observed criteria, higher IMERT regions correlate to smaller grain surface area, larger grain boundary density, and higher grain aspect ratio, which are all symptoms of DRX. High IMERT has a strong correlation with the symptoms DRX, but due to the lack of observable DRX, creating a threshold for DRX grain size, grain aspect ratio, and GB density is not possible. Future work will aim to optimize characterization criteria based on a Ni-Cr weld with large presence of DRX.
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Othman, Nabihah, Mohd Idham Mustaffar, Syarifah Aminah Ismail, and Mohd Hakim Ibrahim. "A Study on the Potential of Local Silica Sand for the Production of Coloured Glass." In International Conference on X-Rays and Related Techniques in Research and Industry 2023. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-iv4kzi.

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There are abundant silica sand resources in Malaysia, however many have not yet been fully discovered. The primary component used in the production of glass is silica sand. The objective of this research was to determine whether local silica sand might be used to make coloured glass. The chemical composition and mineralogy of silica sand were determined using X-ray fluorescence (XRF) and X-ray diffraction (XRD), respectively. The physical properties such as particle size distribution were determined by using a mechanical shaker whereas grain morphology was identified by using a digital microscope. Additional equally significant properties such as moisture content, clay content, pH value and the specific gravity of silica sand were also measured by using standard laboratory testing method. The obtained results were compared to Malaysian Standard MS 701:2017, the standard specification for the production of coloured glass. From XRF analysis, the silica sand contained silicon dioxide at a concentration of 97.84%, alumina at 0.56%, iron oxide at 0.12% as well as several other oxides at around 1.5%. XRD diffractogram also revealed that quartz is a major constituent having the highest peaks at about 26.7° with an intensity of 13,7786. More than 95% of the particle sizes of the silica sand are in the size range from 150 µm to 1000 µm and in the category of fine sand and coarse sand. The grain shape was determined to be angular, and the silica sand had a moisture content of 2.54%, a clay content of 7.80%, a pH value of 5.93, and a specific gravity of 2.63. Based on the chemical and physical properties, it appears that this particular silica sand satisfies the standard requirements for coloured glass production.
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MacLachlan, R. C., J. J. Sanchez-Hanton, and R. C. Thomson. "The Effect of Simulated Post Weld Heat Treatment Temperature Overshoot on Microstructural Evolution in P91 and P92 Power Plant Steels." In AM-EPRI 2010, edited by D. Gandy, J. Shingledecker, and R. Viswanathan. ASM International, 2010. http://dx.doi.org/10.31399/asm.cp.am-epri-2010p0787.

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Abstract Creep strength enhanced ferritic (CSEF) steels, particularly modified 9Cr steels Grade 91 and 92, are increasingly used in advanced coal-fired power plants for header and steam piping construction. While these materials typically enter service after receiving a standard high-temperature normalizing treatment followed by lower temperature tempering to achieve optimal microstructure, practical situations like welding operations may expose components to additional heat treatment exceeding the Ac1, and potentially the Ac3, temperature before returning to tempering temperature. This research examines the effects of simulated post weld heat treatments (PWHT) on Grade 91 and 92 materials using dilatometer-controlled heating and cooling rates, with peak temperatures below Ac1, between Ac1 and Ac3, and above Ac3, followed by heat treatment at 750°C for 2 hours. Hardness measurements revealed significant reduction when exceeding the Ac1 temperature, while advanced electron microscopy, including electron back scatter diffraction, was employed to analyze changes in martensite laths and grain structure, along with detailed carbide size distribution analysis using both scanning and transmission electron microscopy. The findings are discussed in terms of how such PWHT overshoots might affect mechanical properties during high-temperature service.
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Kaiyun, Zheng, Wang Yanfeng, and Cui Zhengqiang. "Evaluation of 18Cr-9Ni-3Cu-Nb-N Austenitic Stainless Tubes for Ultra-Supercritical Power Boiler." In AM-EPRI 2010, edited by D. Gandy, J. Shingledecker, and R. Viswanathan. ASM International, 2010. http://dx.doi.org/10.31399/asm.cp.am-epri-2010p0140.

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Abstract Creep-resistant austenitic stainless steels are known to be the potential candidate materials for use as super- and re-heater tubes in ultra-super critical (USC) power plants. Among them, ASTM A213/A213M S30432, a novel 18-8 stainless steel (18Cr- 9Ni-3Cu-Nb-N), has attracted considerable attention from electric industry due to its combined lower cost and more excellent performance in contrast to traditional TP347H steel. More than 10 years of service in Japan laid a solid foundation for the steel being selectable USC boiler materials. Steels of S30432 have been recently developed in China during the past few years. This paper presents the evaluation results of S30432 tubes manufactured by four steel plants in China as well as Sumitomo super304H tubes for comparison. A detailed microstructural analysis of the tubes has been performed by using optical and electron microscope, and mechanical properties of the tubes have been evaluated using hardness testing as well as tensile testing up to 700°C. It was found that the impurity elements, nonmetallic inclusions and grain size of the S30432 tubes were well controlled. TEM observation revealed the microstructural changes for a selected batch of S30432 specimens in condition of hot rolled material, as-extruded tube, solution treated tube and 650°C/1000h aged tube. Most attention was paid to the morphology and distribution of precipitates in the microstructure which should be responsible for the enhanced performance of the steel. Although the hardness of all the evaluated tubes was measured to be similar, they showed more or less differences in tensile properties between each other. Creep rupture testing is still in progress, and the steel might exhibit excellent long-term creep rupture strength at 650°C as was predicted from the currently available testing results.
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Hussain, Maaruf, Abduljamiu Amao, Khalid Al-Ramadan, Lamidi Babalola, and Hasan Kesserwan. "A Novel Method to Obtain Grain Size Distributions of Intact Rock Samples Using X-Ray Fluorescence Spectra." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-21876-ea.

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Abstract X-ray fluorescence (XRF) is one of the most preferred method preferent methods for elemental analysis and the recent rapid development in spectroscopy has ushered in new ways to look at data generated by most XRF setups beyond the current conventional usage. We hypothesized that particle size and morphology of rock samples can influence fluorescence spectra acquisition. Such interference if analyzed, can unravel new usage for XRF spectra. In this study, we propose the use of raw XRF spectra data for the determination of grain size by superimposition and multiple spectra-cross plots technique. The other known methods of measuring grain size (GS) depending on whether samples are loose or consolidated, include laser granulometry, sieve, and image analyses. Most of these methods have known limitations in their application on an intact rock. The proposed method is designed to address these individual challenges.
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Setiadi, Rahman, Yulianto Jong, Nur Mahfudhin, Mutawif Ilmi Muwaffaqih, and Albert Richal Dading. "Novel Reservoir Sand Grain Size Map Based on Open Hole Gamma Ray Log as Im-Proved ThruTubing Sand Screen Size Selection Guideline on Tunu Multi-Layer Un-Consolidated Gas Reservoir." In Offshore Technology Conference Asia. OTC, 2022. http://dx.doi.org/10.4043/31573-ms.

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Abstract Tunu is one of Mahakam fields with majority gas production. The depositional nature of fluvial with minimum tidal influence results in the signature of delta sedimentation by hundred layers of gas-bearing sand lenses as pay zone. They are constructed of unconsolidated clean and shaly sand reservoirs at the shallower burial and higher consolidation at deeper burial due to compaction and diagenesis. The unconsolidated section requires sand control as mandatory means to unlock it safely. The combined challenge of numerous sand layers and marginal reserves makes it economically impossible to perform regular detailed physical sand grain assessment by individual conventional coring completed with Laser Particle Sieve Analysis (LPSA). An economic approach is through performing sand bailing. However, the bailed sand dry-sieve results were confusing with wide particle size distribution (PSD) curve variation from several well samples. Referring to this PSD uncertainty, installing straddled thru-tubing screen in front of the reservoir as sand control resulted in good production and plugged indication at the beginning of the initiative by utilizing a similar screen opening size. Thus, a new fit-for-purpose methodology was required. A study to predict sand grain size on each reservoir target was initiated by analyzing three available shallow reservoir cores in Mahakam, which could cover most of Tunu's shallow sedimentation type. The result was that most of the sand grain size distribution on each sample core correlated with their calculated shale volume content (v-shale). Lower v-shale is respected to larger sand grain size. Unconsolidated Tunu Shallow reservoir doesn't contain any specific radioactive minerals. Thus, v-shale could be easily calculated from gamma-ray logs, which are always available on each reservoir target at any drilled wells. The relationship between sand grain size and v-shale was gathered on a single map. The map was then validated by historical screen installation. Positive results were seen when screen size selection respects specific patterns on the generated sand map at the v-shale value of perforation intervals. Thru-tubing screen installation campaign was continued following the new sand map reference. It could deliver more than 80% successful installation with no plugging or sand at a new perforated reservoir when no screen integrity issue due to erosion was encountered. This novel approach allowed better prediction of thru-tubing screen opening size requirements and perforation interval selection in Tunu unconsolidated reservoir and was successfully expanded in offshore Mahakam field at similar facies.
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Liu, Shanshan, and Zhiming Wang. "Formation Grain Size Profile Prediction Model Considering the Longitudinal Continuity of Reservoir Using Artificial Intelligence Tools." In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205683-ms.

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Abstract Grain size characteristics (d50, UC) of formation sands are crucial parameters in a sand control design. UC and d50 are commonly derived from sieve or laser particle size analysis (LPSA) techniques on a limited number of core samples in the process of drilling, which cannot represent the variations of grain sizes in the formation by the limited number of core samples. Moreover, staged and hierarchic design of sand control usually needs the whole longitudinal distribution profile of grain size. The grain size characteristics of the reservoir are formed in the process of a long history and have a good correlation with the formation environment of the sediments. Sand control design can only use test well data, because of lacking actual producing position cores. The vertical and horizontal anisotropy and heterogeneity of reservoirs bring difficulties and greater risks to the design of sand control schemes. Therefore, it is very important to find a simple and effective reservoir granularity prediction method. The existing prediction models by artificial intelligence method use single point logging data as eigenvalues to predict d50 and UC without considering the longitudinal continuity of data. This paper presents an efficient solution to predict grain size profile based on conventional logging curves by using four machine learning method (ANN, Random forest, XGBoost, SVM). In order to make full use of the geological continuity of the reservoir, the longitudinal continuous points according to the spatial correlation are adopted as the machine learning feature parameters from the perspective of geological analysis and the data-driven grain size profile prediction model are established by using the logging curve trend and background information, which further improves the prediction accuracy of the model and provides basic data for sand control. The ANN model of five point mapping has the best prediction effect in predicting d50 with a highest correlation coefficient 0.819 and a lowest error MAE 9.59. The XGBoost model of five point mapping has the best prediction effect in predicting UC with a highest correlation coefficient 0.402 and a lowest error RMSE 1.15. This method has been successfully used in offshore oil field in sand control optimization.
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Reports on the topic "Grain size distribution by sieve analysis"

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Tong, V., and K. Mingard. Interlaboratory comparison of EBSD grain size distribution analysis methods on an additively manufactured Ni alloy. National Physical Laboratory, 2025. https://doi.org/10.47120/npl.mat130.

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Schofield, Ian S., Paul L. Brown, Mark J. Logsdon, and Matthew P. Wickham. Waste Rock Dump Characterization Studies at the Bingham Canyon Mine. Utah Geological Survey, 2024. http://dx.doi.org/10.34191/mp-179.

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The Bingham Canyon Mine, located near Salt Lake City, Utah, is surrounded by more than 6 billion tons of waste rock developed over the open cut mining history from 1903 to present; the surface area of the waste rock is approximately 5000 acres. Waste rock dumps have a thickness of more than 1 200 feet from crest to toe. From 1930 to 2000, selected portions of the waste rock dumps were commercially leached using a ferric-sulfate-based lixiviant to extract copper, whereas other portions have only received meteoric leaching. From 2011 to present, Rio Tinto Kennecott has studied the evolution and geochemical controls on water chemistry associated with the waste rock dumps at the Bingham Canyon Mine. In this program, the waste rock dumps have been characterized in detail from the field logging of, and data collected from instrumentation installed within, 13 paired borings. At 12 of the 13 locations, the borings penetrated the full depth of the dumps, through the pre-mine soil contact, and into bedrock. Borings were installed to depths approaching 900 feet below ground surface using roto-sonic drilling methods to enable (1) core recovery and (2) measurement of near in situ properties. Field logging of the borings included Unified Soil Classification System descriptions, clast lithology, relative oxidation, paste pH, and geophysical methods (gyroscopic, temperature, neutron, and gamma). Core from the borings was analyzed for geotechnical properties (density, grain size distribution, moisture content, plasticity index and limit, and direct and block shear), quantitative evaluation of minerals by scanning electron microscopy (QEMSCAN), modified acid-base accounting (ABA), modified synthetic precipitation leaching procedure (SPLP), and hyperspectral analysis by CoreScan. If water was encountered during the drilling process at sufficient volumes for collection from the core barrel, samples were collected for chemical analysis. Instrumentation installed within the borings included lysimeters, thermistor nodes, direct temperature sensing (DTS) fiber optic cables, time domain reflectometry (TDR), shear cables, gas (oxygen, carbon dioxide) measurement tubes, and vibrating wire piezometers (VWPs). Additionally, each drill site had multiple measurements of oxygen consumption in the surface layer of the local waste rock. Data acquired from the borings were linked with historical information (covering a period of greater than 50 years) from extensive drilling, mineralogical and litho-geochemical evaluations, hydraulic and tracer testing, and 20 years of seepage f low and water chemistry data to develop a conceptual model that describes the hydraulic, geochemical, and physical behavior of the waste rock dumps. Pyrite and other sulfide minerals in the waste rock dumps are oxidized by both diffusive and convective ingress of air, producing acidic, high-total dissolved solids effluents, and jarosite that has formed within the waste rock as a secondary phase that stores additional acidity. The dominant air ingress mechanism is convection, which accounts for greater than 90% of the sulfide oxidation within the waste rock dumps. Based on temperature profiles and water balance for the dumps, moisture loss to geochemical reactions is a significant part of the water budget.
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