Evaluation of segmentation procedures using X-ray computed microtomography images of coquinas from Morro do Chaves Formation - NE Brazil

Hoerlle, Fernanda; Silva, William G. A. L.; Rios, Edmilson Helton; Silveira, Thais M. G.; Couto, Paulo; Alves, José L. D.; Lima, Maria Luiza Cunha; Borghi, Leonardo; Corbett, Patrick William Michael

doi:10.20906/cps/cilamce2017-0573

Cited by 2 publications

(2 citation statements)

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“…The threshold value was obtained using the Fityk 0.9.8 and Matlab 2012b softwares, as well as free computational codes. For our study we used segmentation methods selected from several available methods in the literature (Sezgin & Sankur, 2004;Hoerlle et al, 2017).…”

Section: Imaging and Segmentationmentioning

confidence: 99%

“…The reconstructed three-dimensional pore system was processed, followed by numerical simulations of single-phase fluid flow. For the numerical simulations, we considered the works of Fourie et al (2007), Narsilio et al (2009 and Kaczmarczyk et al (2011), who showed the possibility of upscaling the Navier-Stokes equations, which regulate fluid flow at the microscale, to obtain parameters associated with fluid flow at the mesoscale and macroscale (e.g., the permeability).…”

Section: Introductionmentioning

confidence: 99%

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Representative Elementary Volume of a Region of Interest of a Heterogeneous Carbonate Rock Using X-Ray Computed Microtomography and Numerical Simulation

Silva¹,

Rios²,

Hoerlle³

et al. 2018

Braz J Geophys

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ABSTRACT. Characterization of carbonate rocks presents several challenges regarding the acquisition of petrophysical parameters and the understanding of fluid-flow dynamics in their pore system. To face these challenges, techniques such as X-ray microtomography, three-dimensional digital model reconstruction and fluid-flow numerical simulations have been continuously developed and improved. This study analyzes the representative elementary volume (REV) of a region of interest (ROI) of a highly heterogeneous stromatolite sample. Porosity and permeability are estimated for different subvolumes of the sample based on digital petrophysics. All necessary steps for reconstruction and segmentation of the complex pore system of the sample, as well as numerical simulations of fluid flow, are presented and discussed. The workflow is promising for reservoir evaluation because it can be applied to any type of carbonate rock.Keywords: Stromatolite, mCT, segmentation, REV, digital petrophysicsRESUMO. A caracterização de rochas carbonáticas apresenta diversos desafios quanto à determinação de seus parâmetros petrofísicos e o entendimento da dinâmica de escoamento de fluidos em seus sistemas porosos. Técnicas como a microtomografia de raios X, a modelagem digital tridimensional e a simulação numérica do escoamento de fluidos têm sido continuamente desenvolvidas e aprimoradas para superar esses desafios. Este estudo analisa o volume elementar representativo (REV) em uma região de interesse (ROI) de uma amostra de estromatólito altamente heterogênea. A porosidade e a permeabilidade são estimadas em diferentes subvolumes da amostra através da petrofísica digital. São apresentadas e discutidas todas as etapas necessárias para a reconstrução e segmentação do sistema poroso e a simulação numérica do escoamento de fluidos. A metodologia é promissora para avalição de reservatórios visto que o fluxo de trabalho pode ser aplicado a qualquer tipo de rocha carbonática.Palavras-chave: Estromatólitos, mCT, segmentação, REV, petrofísica digital

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Section: Imaging and Segmentationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%