Petrographic Image Analysis: An Alternate Method for Determining Petrophysical Properties

Gerard, R; Philipson, C. A.; Manni, F. M.; Marschall, Dave

doi:10.1007/978-1-4612-4388-5_13

Cited by 12 publications

(4 citation statements)

References 4 publications

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“…The method is well established since the 1990s and has been used by some authors, Ehrlich et al (1984Ehrlich et al ( , 1991, McCreesh et al (1991), Gerard et al (1992, Anselmetti et al (1998) andWeger (2006).…”

Section: Pore Characterization Using Digital Image Analysismentioning

confidence: 99%

Quantitative Parameters of Pore Types in Carbonate Rocks

Castro¹,

Rocha²

2013

Rev. Bras. Geof.

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ABSTRACT. Carbonate rocks are controlled by variable depositional systems and diagenetic process and have a wide variety of pore and grain shapes/sizes. Those characteristics imprint different petrophysical properties in carbonates, which are more difficult to predict than in siliciclastic rocks. Measurements on carbonates reveal that pore/rock type parameters are function of total porosity and play an important role in the relationship between porosity and P-wave velocity. In this research, the database consists of carbonate rock samples with a wide range of bulk porosities, pore types and rock textures, from different Brazilian areas in Southeast Continental Margin. We investigated the hypothesis that scatter values observed in velocity at a given porosity can be explained by pore types and pore shape characteristics.The quantification of pore shape/size distribution in each sample was based on four geometrical parameters from thin sections measurements -pore size, aspect-ratio, tortuosity and pore complexity. By multivariate analysis, those parameters were applied in the correlation between porosity and P-wave velocities in order to reduce scatter values normally observed.Keywords: petrophysical properties, thin sections, porosity, P-wave velocities. RESUMO.As rochas carbonáticas são compostas por calcários e dolomitos de diversos tipos. Além da deposição, os processos de cimentação, dissolução e recristalização transformam essas rochas, produzindo uma grande variedade de tamanhos de grãos, formas e estruturas de poros, criando ou reduzindo porosidade e permeabilidade. Estas características dos carbonatos imprimem grande peculiaridadeàs propriedades físicas tornando-as mais difíceis de predizer do que em rochas siliciclásticas. As formas dos poros também afetam as propriedades físicas das rochas carbonáticas, produzindo um efeito específico nas propriedades acústicas devidò as relações geométricas com a fase sólida das rochas. Por tudo que foi exposto, a compreensão do sistema de poros leva ao melhor entendimento e quantificação das propriedades petrofísicas das rochas carbonáticas. Nesta pesquisa foram utilizadas rochas carbonáticas com diferentes texturas, porosidades e tipos de poros de diferentesáreas da Margem Continental Sudeste Brasileira e o principal objetivo foi melhorar a correlação entre a porosidade e a velocidade das ondas P obtidas de plugues de rochas secas eúmidas. Para tal, foi realizada a avaliação e a quantificação do sistema poroso utilizando a análise multivariada de parâmetros geométricos (tamanho, forma, tortuosidade e complexidade do poro) obtidos de fotografias digitais de lâminas delgadas, para auxiliar na redução da dispersão normalmente observada nas relações entre velocidade e porosidade.Palavras-chave: propriedades petrofísicas, lâminas delgadas, porosidade, velocidade das ondas P. UFRJ -CCMN/IGEO/PPGL,

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Section: Pore Characterization Using Digital Image Analysismentioning

confidence: 99%

Quantitative Parameters of Pore Types in Carbonate Rocks

Castro¹,

Rocha²

2013

Rev. Bras. Geof.

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“…Usually, the images are captured through Environmental Scanning Electronic Microscope (ESEM) analysis or using a backscattered electron microscope (Flavio et al, 1998). The pores and solid spaces of the rocks can be recognized and separated by image analytical techniques (Gerard et al, 1992;Flavio et al, 1998;Li et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…They are separated by a random interface. One of the most direct methods of characterizing the micropore structures is to analyze the spatial arrangement of the pore and solid spaces on the images of thin sections of the rocks coated with epoxy resins (Ehrlich et al, 1984McCreesh et al, 1991;Gerard et al, 1992;Flavio et al, 1998). Usually, the images are captured through Environmental Scanning Electronic Microscope (ESEM) analysis or using a backscattered electron microscope (Flavio et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

Fractal and multifractal analysis of carbonate pore-scale digital images of petroleum reservoirs

Xie

Cheng

Ling

et al. 2010

Marine and Petroleum Geology

103

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“…Soil systems also can be separated into pores and solid particles. Correspondingly, image analytical techniques (Gerard, 1992;Flavior et al, 1998) have been extensively used to recognize and separate these two components. Since the concept of fractal emerged (Mandelbrot, 1977), various fractal and multifractal models have been proposed to characterize the spatial variety of different patterns for pore and solid components in both sedimentary rocks (Muller and McCauley, 1992;McCauley, 1992;Muller et al, 1995;Muller, 1996;Xie et al, 2010a;Kron, 1986) and soils (Bird et al, 2006;Pachepsky et al, 2000;Perrier et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

Assessing microstructures of pyrrhotites in basalts by multifractal analysis

Xie

Cheng

Zhang

et al. 2010

Nonlin. Processes Geophys.

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Abstract. Understanding and describing spatial arrangements of mineral particles and determining the mineral distribution structure are important to model the rock-forming process. Geometric properties of individual mineral particles can be estimated from thin sections, and different models have been proposed to quantify the spatial complexity of mineral arrangement. The Gejiu tin-polymetallic oreforming district, located in Yunnan province, southwestern China, is chosen as the study area. The aim of this paper is to apply fractal and multifractal analysis to quantify distribution patterns of pyrrhotite particles from twentyeight binary images obtained from seven basalt segments and then to discern the possible petrological formation environments of the basalts based on concentrations of trace elements. The areas and perimeters of pyrrhotite particles were measured for each image. Perimeter-area fractal analysis shows that the perimeter and area of pyrrhotite particles follow a power-law relationship, which implies the scaleinvariance of the shapes of the pyrrhotites. Furthermore, the spatial variation of the pyrrhotite particles in space was characterized by multifractal analysis using the method of moments. The results show that the average values of the area-perimeter exponent (D AP ), the width of the multifractal spectra ( (D(0) − D(2)) and (D(q min ) − D(q max ))) and the multifractality index (τ (1)) for the pyrrhotite particles reach their minimum in the second basalt segment, which implies that the spatial arrangement of pyrrhotite particles in Segment 2 is less heterogeneous. Geochemical trace element analysis results distinguish the second basalt segment sample from other basalt samples. In this aspect, the fracCorrespondence to: S. Xie (tinaxie2006@gmail.com) tal and multifractal analysis may provide new insights into the quantitative assessment of mineral microstructures which may be closely associated with the petrogenesis as shown by the bulk-rock geochemical analysis.

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Petrographic Image Analysis: An Alternate Method for Determining Petrophysical Properties

Cited by 12 publications

References 4 publications

Quantitative Parameters of Pore Types in Carbonate Rocks

Quantitative Parameters of Pore Types in Carbonate Rocks

Fractal and multifractal analysis of carbonate pore-scale digital images of petroleum reservoirs

Assessing microstructures of pyrrhotites in basalts by multifractal analysis

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