Quantitative Parameters of Pore Types in Carbonate Rocks

Castro, Dayse Daltro de; Rocha, Paula Lúcia Ferrucio da

doi:10.22564/rbgf.v31i1.251

Cited by 5 publications

(1 citation statement)

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“…Carbonate rocks are highly prone to postdepositional alteration, such as dissolution and cementation, and these processes modify the pore structure, creating or destroying porosity and changing permeability and acoustic properties (Rafavich et al, 1984;Anselmetti et al, 1998;Eberli et al, 2003;Weger et al, 2009;Hollis et al, 2010;Castro and Rocha, 2013). Eberli et al (2003) showed that total porosity and pore type have nearly the same impact on the acoustic behavior of carbonate rocks and that the most used velocity-porosity empirical relations-for example, Gardner (Raymer et al, 1980) and Wyllie (Wyllie et al, 1958)-do not predict velocity with a high coefficient of determination (R 2 ).…”

Section: Introductionmentioning

confidence: 99%

Permeability and acoustic velocity controlling factors determined from x-ray tomography images of carbonate rocks

Archilha¹,

Misságia²,

Hollis³

et al. 2016

Bulletin

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A B S T R A C TCarbonate reservoir rocks exhibit a great variability in texture that directly impacts petrophysical parameters. Many exhibit bi-and multimodal pore networks, with pores ranging from less than 1 mm to several millimeters in diameter. Furthermore, many pore systems are too large to be captured by routine core analysis, and well logs average total porosity over different volumes. Consequently, prediction of carbonate properties from seismic data and log interpretation is still a challenge. In particular, amplitude versus offset classification systems developed for clastic rocks, which are dominated by connected, intergranular, unimodal pore networks, are not applicable to carbonate rocks.Pore geometrical parameters derived from digital image analysis (DIA) of thin sections were recently used to improve the coefficient of determination of velocity and permeability versus porosity. Although this substantially improved the coefficient of determination, no spatial information of the pore space was considered, because DIA parameters were obtained from twodimensional analyses. Here, we propose a methodology to link local and global pore-space parameters, obtained from threedimensional (3-D) images, to experimental physical properties of carbonate rocks to improve P-wave velocity and permeability predictions. Results show that applying a combination of porosity, microporosity, and 3-D geometrical parameters to P-wave velocity significantly improves the adjusted coefficient of determination from 0.490 to 0.962. A substantial improvement

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