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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2014-10-01
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| Series: | Nonlinear Processes in Geophysics |
| Online Access: | http://www.nonlin-processes-geophys.net/21/1043/2014/npg-21-1043-2014.pdf |
| Summary: | 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. |
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| ISSN: | 1023-5809 1607-7946 |