Stress dependent wave velocities in sedimentary rock cores: Why and why not?

1997 ◽  
Vol 34 (3-4) ◽  
pp. 128.e1-128.e12 ◽  
Author(s):  
R.M. Holt ◽  
A.-K. Furre ◽  
P. Horsrud
2012 ◽  
Vol 223 ◽  
pp. 120-128 ◽  
Author(s):  
Konstantin Romanenko ◽  
Dan Xiao ◽  
Bruce J. Balcom

Geophysics ◽  
2009 ◽  
Vol 74 (5) ◽  
pp. E193-E203 ◽  
Author(s):  
Doug A. Angus ◽  
James P. Verdon ◽  
Quentin J. Fisher ◽  
J.-M. Kendall

Rock-physics models are used increasingly to link fluid and mechanical deformation parameters for dynamic elastic modeling. We explore the input parameters of an analytical stress-dependent rock-physics model. To do this, we invert for the stress-dependent microcrack parameters of more than 150 sedimentary rock velocity-stress core measurements taken from a literature survey. The inversion scheme is based on a microstructural effective-medium formulation defined by a second-rank crack-density tensor (scalar crack model) or by a second- and fourth-rank crack-density tensor (joint inversion model). Then the inversion results are used to explore and predict the stress-dependent elastic behavior of various sedimentary rock lithologies using an analytical microstructural rock-physics model via the initial modelinput parameters: initial crack aspect ratio and initial crack density. Estimates of initial crack aspect ratio are consistent among most lithologies with a mean of 0.0004, but for shales they differ up to several times in magnitude with a mean of 0.001. Estimates of initial aspect ratio are relatively insensitive to the inversion method, although the scalar crack inversion becomes less reliable at low values of normal-to-tangential crack compliance ratio [Formula: see text]. Initial crack density is sensitive to the degree of damage as well as the inversion procedure. An important implication is that the fourth-rank crack-density term is not necessarily negligible for most sedimentary rocks and evaluation of this term or [Formula: see text] is necessary for accurate prediction of initial crack density. This is especially important because recent studies suggest that [Formula: see text] can indicate fluid content in cracks.


2018 ◽  
Vol 36 (4) ◽  
pp. 1
Author(s):  
José Agnelo Soares ◽  
Paula Rayane Lopes de Andrade ◽  
Juliana Trajino Batista

ABSTRACT. This article presents results achieved by a series of studies aiming to evaluate petrophysical properties from digital images of sedimentary rocks. This characterization from digital images occur in the pores and grain scale, but it is confronted with the same properties as they are conventionally measured on the centimeter scale of laboratory rock samples. The properties evaluated were the porosity of macro and micro pores, mineral composition, the size distribution of grains and pores, sphericity and roundness of the mineral grains, permeability, the quality of grain-grain contacts, elastic wave velocities and electrical properties of the rocks. Predictive models for permeability and elastic velocities of carbonate rocks are presented for the estimation of these properties from the extracted parameters of rocks´ digital images. Beyond of elastic properties (e.g. VP and VS), important parameters for estimation of hydrocarbon reserves, such as tortuosity factor and saturation and cementation coefficients, are evaluated through the digital models of rock.Keywords: X-ray microtomography, rock characterization, petrophysics, carbonate, sandstone, shale.RESUMO. Este artigo apresenta resultados alcançados por uma série de estudos realizados com o objetivo de avaliar propriedades petrofísicas de rochas sedimentares a partir de imagens digitais dessas rochas. Essa caracterização a partir de imagens digitais ocorre na escala de poros e grãos, mas ela é confrontada com as mesmas propriedades medidas de forma convencional na escala de amostras de rochas com dimensões centimétricas. As propriedades avaliadas foram a porosidade de macro e de micro poros, a composição mineral, a distribuição de tamanhos de grãos e de poros, a esfericidade e o grau de arredondamento dos grãos minerais, a permeabilidade, a qualidade dos contatos intergrãos, as velocidades das ondas elásticas e as propriedades elétricas das rochas. Modelos preditivos para a permeabilidade e as velocidades elásticas de rochas carbonáticas são apresentados para a estimativa dessas propriedades a partir de parâmetros extraídos de imagens digitais de rochas. Além de propriedades elásticas (como VP e VS), parâmetros importantes para a estimativa de reservas de hidrocarbonetos, tais como o fator de tortuosidade e os coeficientes de saturação e de cimentação, são avaliados criteriosamente através dos modelos digitais de rocha.Palavras-chave: Microtomografia de raios x, caracterização de rochas, petrofísica, carbonato, arenito, folhelho.


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