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Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPEW34M/43BHD3H
Repositorysid.inpe.br/sibgrapi/2020/10.01.00.16
Last Update2020:10.01.00.16.44 victor.cardoso@ufpe.br
Metadatasid.inpe.br/sibgrapi/2020/10.01.00.16.44
Metadata Last Update2020:10.28.20.46.58 administrator
Citation KeyCardosoBarBarAntNov:2020:EfMePo
TitleAn efficient method for porosity properties extraction of carbonate rocks
FormatOn-line
Year2020
DateNov. 7-10, 2020
Access Date2020, Dec. 04
Number of Files1
Size813 KiB
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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
EditorMusse, Soraia Raupp
Cesar Junior, Roberto Marcondes
Pelechano, Nuria
Wang, Zhangyang (Atlas)
e-Mail Addressvictor.cardoso@ufpe.br
Conference NameConference on Graphics, Patterns and Images, 33 (SIBGRAPI)
Conference LocationVirtual
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
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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Is the master or a copy?is the master
Document Stagecompleted
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Transferable1
Content TypeExternal Contribution
Tertiary TypeFull Paper
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.
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Languageen
Target FileSibgrapi_2020_Main_Track_ID_111.pdf
e-Mail (login)victor.cardoso@ufpe.br
User Groupvictor.cardoso@ufpe.br
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/43G4L9S
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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