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Determina??o de estrutura e velocidade de subsuperf?cie num campo de petr?leo utilizando ru?do s?smico ambienteDantas, Odmaksuel An?sio Bezerra 15 August 2016 (has links)
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Previous issue date: 2016-08-15 / Os sinais ruidosos registrados durante o monitoramento de opera??es de fraturamento hidr?ulico num campo de petr?leo podem trazer informa??es importantes sobre a estrutura do subsolo. Tais informa??es s?o extra?das atrav?s de um conjunto de procedimentos de an?lise e processamento de dados, baseado na t?cnica de Interferometria S?smica de Ru?do Ambiente (ISRA). Na pr?tica, a t?cnica envolve a realiza??o de duas etapas: a correla??o cruzada, que ? equivalente a convolu??o de um dos sinais com o outro reverso no tempo, e o empilhamento (stacking) dos resultados gerados. A resposta encontrada pela mesma ? equivalente a Fun??o de Green emp?rica do meio convolvida com a wavelet da fonte e por esse motivo, a Interferometria S?smica tamb?m ? chamada de recupera??o da Fun??o de Green. Neste trabalho, novas respostas s?smicas foram obtidas atrav?s da combina??o de duas t?cnicas de correla??o cruzada (correla??o cruzada cl?ssica normalizada geometricamente - CCGN e correla??o cruzada de fase - PCC) com duas t?cnicas de empilhamento (empilhamento linear - LS e o empilhamento n?o linear ou ponderado por fase - PWS). Consequentemente, quatro abordagens foram alcan?adas, que ap?s submetidas a um fluxo de processamento padr?o de dados s?smicos resultou em quatro se??es s?smicas empilhadas (LS-PCC - empilhamento linear com correla??o cruzada de fase, LS-CCGN - empilhamento linear com correla??o cruzada cl?ssica normalizada geometricamente, PWS-PCC - empilhamento n?o linear com correla??o cruzada de fase e PWS-CCGN - empilhamento n?o linear com correla??o cruzada cl?ssica normalizada geometricamente). Para interpreta??o dos resultados, uma modelagem s?smica direta foi realizada a fim de obter uma se??o s?smica sint?tica. A interpreta??o dos resultados com o uso de informa??es de dados sint?ticos e da geologia mostrou que alguns eventos correspondentes a marcadores geol?gicos foram recuperados. Isto contribuiu para a comprova??o de que ? poss?vel recuperar as reflex?es de um meio em subsuperf?cie utilizando registros de ru?do s?smico ambiente e a t?cnica de Interferometria S?smica. / The noisy signals recorded during the monitoring hydraulic fracturing operations in an oil field can provide important information on the structure of the subsoil. Such information is extracted through a set of procedures for analyzing and processing data, based on the technique of of Ambient Noise Interferometry Seismic (ANSI). In practice, the technique involves the realization of two steps: the cross-correlation, which is equivalent to a convolution of the signals with each other in reverse time and the stacking the results generated. The answer is found by this is equivalent to empirical Green function convolved the medium of the source wavelet and therefore, the seismic interferometry recovery is also called the Green function. In this work, new seismic responses were obtained by combining two cross-correlation techniques (classical cross-correlation geometrically normalized - CCGN and phase cross-correlation - PCC) with two stacking techniques (linear stack - LS and the nonlinear stack or phase-weighting stack - PWS). Consequently, four approaches have been reached which, after undergoing a standard processing flow of seismic data resulted in four stacked seismic sections (LS-PCC - linear stack with phase cross-correlation, TS-CCGN - linear stack with classical cross-correlation geometrically normalized, PWS-PCC - nonlinear stack with phase cross-correlation and PWS-CCGN - nonlinear stack with classical cross-correlation geometrically normalized). To interpret the results, a direct seismic modeling was performed to obtain a synthetic seismic section. Interpretation of the results with the use of synthetic data information and geology showed that some events corresponding to geological markers were recovered. This adds to the confirmation that is possivel retrieve the reflections of an environment in the subsurface using ambient seismic noise records and seismic interferometry technique.
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