Algorithms for 3D Particles Characterization Using X-Ray Microtomography in Proppant Crush Test
We present image processing algorithms for a new technique of ceramic proppant crush resistance characterization. To obtain the images of the proppant material before and after the test we used X-ray microtomography. We propose a watershed-based unsupervised algorithm for segmentation of proppant pa...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-11-01
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| Series: | Journal of Imaging |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-433X/4/11/134 |
| _version_ | 1819264475573780480 |
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| author | Ilia Safonov Ivan Yakimchuk Vladimir Abashkin |
| author_facet | Ilia Safonov Ivan Yakimchuk Vladimir Abashkin |
| author_sort | Ilia Safonov |
| collection | DOAJ |
| description | We present image processing algorithms for a new technique of ceramic proppant crush resistance characterization. To obtain the images of the proppant material before and after the test we used X-ray microtomography. We propose a watershed-based unsupervised algorithm for segmentation of proppant particles, as well as a set of parameters for the characterization of 3D particle size, shape, and porosity. An effective approach based on central geometric moments is described. The approach is used for calculation of particles’ form factor, compactness, equivalent ellipsoid axes lengths, and lengths of projections to these axes. Obtained grain size distribution and crush resistance fit the results of conventional test measured by sieves. However, our technique has a remarkable advantage over traditional laboratory method since it allows to trace the destruction at the level of individual particles and their fragments; it grants to analyze morphological features of fines. We also provide an example describing how the approach can be used for verification of statistical hypotheses about the correlation between particles’ parameters and their crushing under load. |
| first_indexed | 2024-12-23T20:30:05Z |
| format | Article |
| id | doaj.art-0fdc9aaf93fe4bf78d85cfdebf08a7a9 |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-12-23T20:30:05Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-0fdc9aaf93fe4bf78d85cfdebf08a7a92022-12-21T17:32:16ZengMDPI AGJournal of Imaging2313-433X2018-11-0141113410.3390/jimaging4110134jimaging4110134Algorithms for 3D Particles Characterization Using X-Ray Microtomography in Proppant Crush TestIlia Safonov0Ivan Yakimchuk1Vladimir Abashkin2Schlumberger Moscow Research Center, Pudovkina str. 13, Moscow 119285, RussiaSchlumberger Moscow Research Center, Pudovkina str. 13, Moscow 119285, RussiaSchlumberger Moscow Research Center, Pudovkina str. 13, Moscow 119285, RussiaWe present image processing algorithms for a new technique of ceramic proppant crush resistance characterization. To obtain the images of the proppant material before and after the test we used X-ray microtomography. We propose a watershed-based unsupervised algorithm for segmentation of proppant particles, as well as a set of parameters for the characterization of 3D particle size, shape, and porosity. An effective approach based on central geometric moments is described. The approach is used for calculation of particles’ form factor, compactness, equivalent ellipsoid axes lengths, and lengths of projections to these axes. Obtained grain size distribution and crush resistance fit the results of conventional test measured by sieves. However, our technique has a remarkable advantage over traditional laboratory method since it allows to trace the destruction at the level of individual particles and their fragments; it grants to analyze morphological features of fines. We also provide an example describing how the approach can be used for verification of statistical hypotheses about the correlation between particles’ parameters and their crushing under load.https://www.mdpi.com/2313-433X/4/11/134unsupervised segmentationwatershedshape factorcompactnessaxes of equivalent ellipsoidgeometric momentsinvariantsporositymatching of particles |
| spellingShingle | Ilia Safonov Ivan Yakimchuk Vladimir Abashkin Algorithms for 3D Particles Characterization Using X-Ray Microtomography in Proppant Crush Test Journal of Imaging unsupervised segmentation watershed shape factor compactness axes of equivalent ellipsoid geometric moments invariants porosity matching of particles |
| title | Algorithms for 3D Particles Characterization Using X-Ray Microtomography in Proppant Crush Test |
| title_full | Algorithms for 3D Particles Characterization Using X-Ray Microtomography in Proppant Crush Test |
| title_fullStr | Algorithms for 3D Particles Characterization Using X-Ray Microtomography in Proppant Crush Test |
| title_full_unstemmed | Algorithms for 3D Particles Characterization Using X-Ray Microtomography in Proppant Crush Test |
| title_short | Algorithms for 3D Particles Characterization Using X-Ray Microtomography in Proppant Crush Test |
| title_sort | algorithms for 3d particles characterization using x ray microtomography in proppant crush test |
| topic | unsupervised segmentation watershed shape factor compactness axes of equivalent ellipsoid geometric moments invariants porosity matching of particles |
| url | https://www.mdpi.com/2313-433X/4/11/134 |
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