Dissertações em Geofísica (Mestrado) - CPGF/IG

URI Permanente para esta coleçãohttps://repositorio.ufpa.br/handle/2011/4993

O Mestrado Acadêmico pertente a o Programa de Pós-Graduação em Geofísica (CPGF) do Instituto de Geociências (IG) da Universidade Federal do Pará (UFPA).

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Navegando Dissertações em Geofísica (Mestrado) - CPGF/IG por Autor "ANDRADE, André José Neves"

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    Deconvolução de perfis de poço
    (Universidade Federal do Pará, 1992-10-20) ANDRADE, André José Neves; LUTHI, Stefan Moritz
    Most wireline logs used for the petrophysical evaluation of reservoirs have a vertical resolution in the order of one meter. This poses a problem when the typical layer thickness is less than one meter, since no correct reading will be obtained. High-resolution logs like the electromagnetic propagation tool (EPT, Schlumberger) the dipmeters (SHDT, Schlumberger) or acoustic and electrical imaging devices have a resolution well below one meter, sometimes as high as one centimeter, but their application to petrophysical reservoir evaluation is limited. We present an approach which uses information from high-resolution logs to deconvolve low-resolution logs. From the high-resolution log we first identify a sharp bed boundary, on both sides of which the petrophysical properties assume a locally constant but different value (an interface, for instance). From this control interval we determine the tool response function under actual borehole conditions of the low-resolution log using the basic convolution theorem. It can be obtained at various sharp bed boundaries in order to obtain a more representative tool response. The low-resolution log is then deconvolved using Fast Fourier Transforms (FFT) over the entire interval of interest. Neither the invasion of mud filtrate or the presence of the mud cake affect this method adversely. We apply it to a number of synthetic and field data sets. Noise filtering prior to deconvolution is found to be important, as is correct depth shifting and a proper choice of the control interval.
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