Exploring self-affine properties in seismograms

Andrade, Roberto F. S.; Oliveira, Osvaldo Barreto; Cardoso, Augusto César Costa; Lucena, L. S.; Leite, Fabíola Pessôa Pereira; Porsani, Milton J.; Maciel, Rosangela Corrêa

doi:10.1007/s10596-008-9093-y

Cited by 8 publications

(3 citation statements)

References 21 publications

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“…Several mathematical tools that uncover scaling fluctuation properties have been used to analyze geophysical data [4][5][6][7]. In particular, well-log data sets have been subject of a comparative analysis by several nonlinear methods [8].…”

Section: Introductionmentioning

confidence: 99%

Using Detrended Cross-Correlation Analysis in geophysical data

Marinho

Sousa

Andrade

2013

Physica A: Statistical Mechanics and its Applications

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a b s t r a c tDetrended cross correlation analysis (DCCA) is used to identify and characterize correlated data obtained in drilled oil wells. The investigation is focused on different petro-physical measurements within the same well, and of the same measurement from two wells in the same oil field. The evaluation of cross correlation exponents indicates if scaling properties in two measurements are alike. The work considers also the values of cross correlated coefficients, which provide an assessment on the local correlation between measurements. The existence of several highly correlated events provides information on the continuity of geological structures, including partial and global dislocations of deposited layers.

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Section: Introductionmentioning

confidence: 99%

Using Detrended Cross-Correlation Analysis in geophysical data

Marinho

Sousa

Andrade

2013

Physica A: Statistical Mechanics and its Applications

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“…DFA technique has been used in many areas of geophysical literature, in Padhy (2004) it is used to obtain information from seismic signals. In references Andrade et al (2009); Chun-Feng and Liner (2005); Gholamy et al (2008); Tavares et al (2005) DFA is employed to interpret and filter images of seismograms. In reference Ribeiro et al (2011);Lozada-Zumeta et al (2012); Marinho et al (2013); Dashtian et al (2011) this technique is used, as in this manuscript, in the analysis of well logs.…”

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confidence: 99%

Spatial analysis of oil reservoirs using DFA of geophysical data

Ribeiro¹,

Mata²,

Lucena³

et al. 2014

Preprint

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Abstract. We employ Detrended Fluctuation Analysis (DFA) technique to investigate spatial properties of an oil reservoir. This reservoir is situated at Bacia de Namorados, RJ, Brazil. The data corresponds to well logs of the following geophysical quantities: sonic, gamma ray, density, porosity and electrical resistivity, measured in 56 wells. We tested the hypothesis of constructing spatial models using data from fluctuation analysis over well logs. To verify this hypothesis we compare the matrix of distances among well logs with the differences among DFA-exponents of geophysical quantities using spatial correlation function and Mantel test. Our data analysis suggests that sonic profile is a good candidate to represent spatial structures. Then, we apply the clustering analysis technique to the sonic profile to identify these spatial patterns. In addition we use the Mantel test to search for correlation among DFA-exponents of geophysical quantities.

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“…Andrade et al [1] suggest analyzing the self-affine properties of seismograms through the local Hurst exponent, which is found to change depending on the different components of the seismic signal. Ground roll, multiple reflections, and the actual geological data are thus naturally identified and separated.…”

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confidence: 99%