@InProceedings{CardosoBarBarAntNov:2020:EfMePo,
               author = "Cardoso, Victor Gomes and Barros, Edna Natividade da Silva and 
                         Barbosa, Jos{\'e} Antonio and Antonino, Antonio Celso Dantas and 
                         Nova, Abra{\~a}o Alves Vila",
          affiliation = "Federal University of Pernambuco, Brazil and Federal University of 
                         Pernambuco, Brazil and Federal University of Pernambuco, Brazil 
                         and Federal University of Pernambuco, Brazil and Federal 
                         University of Pernambuco, Brazil",
                title = "An efficient method for porosity properties extraction of 
                         carbonate rocks",
            booktitle = "Proceedings...",
                 year = "2020",
               editor = "Musse, Soraia Raupp and Cesar Junior, Roberto Marcondes and 
                         Pelechano, Nuria and Wang, Zhangyang (Atlas)",
         organization = "Conference on Graphics, Patterns and Images, 33. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "µCT images, carbonate rocks and porosity properties.",
             abstract = "Porous 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.",
  conference-location = "Porto de Galinhas (virtual)",
      conference-year = "7-10 Nov. 2020",
                  doi = "10.1109/SIBGRAPI51738.2020.00033",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI51738.2020.00033",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/43BHD3H",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/43BHD3H",
           targetfile = "Sibgrapi_2020_Main_Track_ID_111.pdf",
        urlaccessdate = "2024, May 02"
}