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Reference TypeConference Proceedings
Identifier8JMKD3MGPEW34M/43BHD3H
Repositorysid.inpe.br/sibgrapi/2020/10.01.00.16
Metadatasid.inpe.br/sibgrapi/2020/10.01.00.16.44
Sitesibgrapi.sid.inpe.br
Citation KeyCardosoBarBarAntNov:2020:EfMePo
Author1 Cardoso, Victor Gomes
2 Barros, Edna Natividade da Silva
3 Barbosa, José Antonio
4 Antonino, Antonio Celso Dantas
5 Nova, Abraćo Alves Vila
Affiliation1 Federal University of Pernambuco, Brazil
2 Federal University of Pernambuco, Brazil
3 Federal University of Pernambuco, Brazil
4 Federal University of Pernambuco, Brazil
5 Federal University of Pernambuco, Brazil
TitleAn efficient method for porosity properties extraction of carbonate rocks
Conference NameConference on Graphics, Patterns and Images, 33 (SIBGRAPI)
Year2020
EditorMusse, Soraia Raupp
Cesar Junior, Roberto Marcondes
Pelechano, Nuria
Wang, Zhangyang (Atlas)
Book TitleProceedings
DateNov. 7-10, 2020
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationVirtual
KeywordsµCT images, carbonate rocks and porosity properties.
AbstractPorous media characterization presents substantial importance for the oil industry. The X-ray micro-computed tomography (µCT) is often used to generate digital models of reservoir rocks. This paper presents an automatic histogram-based method for the segmentation of µ CT images, which allows the fast extraction of some petrophysical properties. The processing is based on the analysis of the typical 2D images used to produce 3D volumes. The method was applied to analyze seven samples of carbonate rocks, to define the porosity values, pores size distribution, and the orientation of the pores. Calculated porosity values were compared to the porosity results obtained with a helium porosimeter. The comparison of porosity calculated by this method against the experimental values showed an average error of 3.43%. The computational time spent for each sample processing was of about 9 minutes on a regular PC. The method can be used to extract porosity parameters in a large number of samples with a substantial gain of time and computational power.
Languageen
Tertiary TypeFull Paper
FormatOn-line
Size813 KiB
Number of Files1
Target FileSibgrapi_2020_Main_Track_ID_111.pdf
Last Update2020:10.01.00.16.44 sid.inpe.br/banon/2001/03.30.15.38 victor.cardoso@ufpe.br
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e-Mail Addressvictor.cardoso@ufpe.br
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Next Higher Units8JMKD3MGPEW34M/43G4L9S
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History2020-10-01 00:16:44 :: victor.cardoso@ufpe.br -> administrator ::
2020-10-28 20:46:58 :: administrator -> victor.cardoso@ufpe.br :: 2020
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Access Date2020, Nov. 25
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