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Abstract

On the geophysical well logging there is a great interest in improving the vertical resolution, with the aim to differentiate the lithology of geological formations through the well. This is of extreme importance in the petroleum industry, therefore, through this process is possible to separate the reservoirs from the seals, but also to determine the geometry and physical properties of each unit, with a view to the future tasks of commercial production. To achieve these goals, several techniques have been tested, such as log deconvolution, time-series analysis, multivariate statistical techniques, artificial intelligence techniques, etc. In this study, it was conducted a comparative study between two techniques to achieve this differentiation, such as Zonation Process (ZP) and Wavelet Transform (WLT). The used data come from the Namorado Oilfield, in Campos Basin, which is known to have a reservoir composed of a clayeysandstone,<br>especially difficult to be characterized by well logs. The results show that the differentiation derived from the WLT was superior to those found with the ZP, in both, the visual aspect of the layers and the improvement of the values of correlation between logs.

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/content/papers/10.3997/2214-4609-pdb.195.1401_evt_6year_2009
2009-08-24
2024-03-29
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609-pdb.195.1401_evt_6year_2009
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