Spatial analysis of oil reservoirs using detrended fluctuation analysis of geophysical data
We employ the 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 correspond to well logs of the following geophysical quantities: sonic, gamma ray, density, porosity and electric...
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Copernicus Publications
2014-10-01
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Series: | Nonlinear Processes in Geophysics |
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doaj-19644874472c45e385122b60f6d8b0b42020-11-25T00:23:43ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462014-10-012151043104910.5194/npg-21-1043-2014Spatial analysis of oil reservoirs using detrended fluctuation analysis of geophysical dataR. A. Ribeiro0M. V. M. Mata1L. S. Lucena2U. L. Fulco3G. Corso4Centro Universitário-FACEX-UNIFACEX, Rua Orlando Silva, 2897, Capim Macio, CEP 59080 020, Natal, RN, BrazilPrograma de Pós-Graduação em Ciências Climáticas, Universidade Federal do Rio Grande do Norte, UFRN – Campus Universitário, Lagoa Nova, CEP 59078 972, Natal, RN, BrazilDepartamento de Física Teórica e Experimental, International Center for Complex Systems and Instituto Nacional de Ciência e Tecnologia sobre Sistemas Complexos, Universidade Federal do Rio Grande do Norte, UFRN – Campus Universitário, Lagoa Nova, CEP 59078 970, Natal, RN, BrazilDepartamento de Biofísica e Farmacologia, Centro de Biociências, Universidade Federal do Rio Grande do Norte, UFRN – Campus Universitário, Lagoa Nova, CEP 59078 972, Natal, RN, BrazilDepartamento de Biofísica e Farmacologia, Centro de Biociências, Universidade Federal do Rio Grande do Norte, UFRN – Campus Universitário, Lagoa Nova, CEP 59078 972, Natal, RN, BrazilWe employ the 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 correspond 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 of well logs with the differences in DFA exponents of geophysical quantities using a spatial correlation function and the Mantel test. Our data analysis suggests that the sonic profile is a good candidate for representing 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 correlations between DFA exponents of geophysical quantities.http://www.nonlin-processes-geophys.net/21/1043/2014/npg-21-1043-2014.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
R. A. Ribeiro M. V. M. Mata L. S. Lucena U. L. Fulco G. Corso |
spellingShingle |
R. A. Ribeiro M. V. M. Mata L. S. Lucena U. L. Fulco G. Corso Spatial analysis of oil reservoirs using detrended fluctuation analysis of geophysical data Nonlinear Processes in Geophysics |
author_facet |
R. A. Ribeiro M. V. M. Mata L. S. Lucena U. L. Fulco G. Corso |
author_sort |
R. A. Ribeiro |
title |
Spatial analysis of oil reservoirs using detrended fluctuation analysis of geophysical data |
title_short |
Spatial analysis of oil reservoirs using detrended fluctuation analysis of geophysical data |
title_full |
Spatial analysis of oil reservoirs using detrended fluctuation analysis of geophysical data |
title_fullStr |
Spatial analysis of oil reservoirs using detrended fluctuation analysis of geophysical data |
title_full_unstemmed |
Spatial analysis of oil reservoirs using detrended fluctuation analysis of geophysical data |
title_sort |
spatial analysis of oil reservoirs using detrended fluctuation analysis of geophysical data |
publisher |
Copernicus Publications |
series |
Nonlinear Processes in Geophysics |
issn |
1023-5809 1607-7946 |
publishDate |
2014-10-01 |
description |
We employ the 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 correspond 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 of well logs with the
differences in DFA exponents of geophysical quantities using a spatial
correlation function and the Mantel test. Our data analysis suggests that the
sonic profile is a good candidate for representing 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
correlations between DFA exponents of geophysical quantities. |
url |
http://www.nonlin-processes-geophys.net/21/1043/2014/npg-21-1043-2014.pdf |
work_keys_str_mv |
AT raribeiro spatialanalysisofoilreservoirsusingdetrendedfluctuationanalysisofgeophysicaldata AT mvmmata spatialanalysisofoilreservoirsusingdetrendedfluctuationanalysisofgeophysicaldata AT lslucena spatialanalysisofoilreservoirsusingdetrendedfluctuationanalysisofgeophysicaldata AT ulfulco spatialanalysisofoilreservoirsusingdetrendedfluctuationanalysisofgeophysicaldata AT gcorso spatialanalysisofoilreservoirsusingdetrendedfluctuationanalysisofgeophysicaldata |
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