Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2020:
Metadata Last Update2020: administrator
Citation KeyCardosoBarBarAntNov:2020:EfMePo
TitleAn efficient method for porosity properties extraction of carbonate rocks
Access Date2021, June 18
Number of Files1
Size813 KiB
Context area
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)
Conference NameConference on Graphics, Patterns and Images, 33 (SIBGRAPI)
Conference LocationVirtual
DateNov. 7-10, 2020
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History2020-10-01 00:16:44 :: -> administrator ::
2020-10-28 20:46:58 :: administrator -> :: 2020
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
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. > SDLA > SIBGRAPI 2020 > An efficient method...
source Directory Contentthere are no files
agreement Directory Content
agreement.html 30/09/2020 21:16 1.2 KiB 
Conditions of access and use area
data URL
zipped data URL
Target FileSibgrapi_2020_Main_Track_ID_111.pdf
Update Permissionnot transferred
Allied materials area
Next Higher Units8JMKD3MGPEW34M/43G4L9S
Notes area
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume
Description control area
e-Mail (login)