Produção Científica



Artigo em Revista
10/07/2011

A fast modified parabolic radon transform.
We propose a fast and efficient frequency-domain implementation of a modified parabolic Radon transform (modified PRT) based on a singular value decomposition (SVD) with applications to multiple removal. The problem is transformed into a complex linear system involving a single operator after merging the curvature-frequency parameters into a new variable. A complex SVD is applied to this operator and the forward transform is computed by means of a complex back-substitution that is frequency independent. The new transform offers a wider curvature range at signal frequencies than the other PRT implementations, allowing the mapping in the transform domain of low-frequency events with important residual moveouts (long period multiples). The method is capable of resolving multiple energy from primaries when they interfere in a small time interval, a situation where most frequency-domain methods fail to discriminate the different wave types. Additionally, the method resists better to amplitude variations with offset (AVO) effects in the data than does the iteratively reweighted least-squares (IRLS) method.The proposed method was successfully applied to a deep-water seismic line in the Gulf of Mexico to attenuate water-bottom multiples and subsequent peg-legs originating from multiple paths in the water column. Combining the suggested method with the surface-related multiple elimination (SRME) has led to the best attenuation results in removing residual multiple energy in the stack. ©2011 Society of Exploration Geophysicists
Artigo em Revista
30/03/2011

Total variation regularization for depth-to-basement estimate: Part 1 ‚ÄĒ Mathematical details and applications
We have developed an inversion approach that estimates the basement relief of a fault-bounded sedimentary basin. The sedimentary pack is approximated by a grid of 3D or 2D vertical prisms juxtaposed in the horizontal directions of a right-handed coordinate system. The prisms' thicknesses represent the depths to the basement and are the parameters to be estimated from the gravity data. To obtain depth-to-basement estimates, we introduce the total variation (TV) regularization as a stabilizing function. This approach lets us estimate a nonsmooth basement relief because it does not penalize sharp features of the solution. We have deduced a compact matrix form of the gradient vector and the Hessian matrix of the approximation to the TV function that allows a regularized Gauss-Newton minimization approach. Because the Hessian matrix of the approximation to the TV function is ill conditioned, we have modified this Hessian matrix to improve its condition and to accelerate the convergence of the Gauss-Newton algorithm. Tests conducted with synthetic data show that the inversion method can delineate discontinuous basements presenting large slips or sequences of small-slip step faults. Tests on field data from the Almada Basin, Brazil, and from the San Jacinto Graben, California, U.S.A., confirm the potential of the method in detecting and locating in-depth normal faults in the basement relief of a sedimentary basin. ©2011 Society of Exploration Geophysicists
Artigo em Revista
30/03/2011

Total variation regularization for depth-to-basement estimate: Part 2 ‚ÄĒ Physicogeologic meaning and comparisons with previous inversion methods
We applied the mathematical basis of the total variation (TV) regularization to analyze the physicogeologic meaning of the TV method and compared it with previous gravity inversion methods (weighted smoothness and entropic Regularization) to estimate discontinuous basements. In the second part, we analyze the physicogeologic meaning of the TV method and compare it with previous gravity inversion methods (weighted smoothness and entropic regularization) to estimate discontinuous basements. Presenting a mathematical review of these methods, we show that minimizing the TV stabilizing function favors discontinuous solutions because a smooth solution, to honor the data, must oscillate, and the presence of these oscillations increases the value of the TV stabilizing function. These three methods are applied to synthetic data produced by a simulated 2D graben bordered by step faults. TV regularization and weighted smoothness are also applied to the real anomaly of Steptoe Valley, Nevada, U.S.A. In all applications, the three methods perform similarly. TV regularization, however, has the advantage, compared with weighted smoothness, of requiring no a priori information about the maximum depth of the basin. As compared with entropic regularization, TV regularization is much simpler to use because it requires, in general, the tuning of just one regularization parameter. ©2011 Society of Exploration Geophysicists
Artigo em Revista
02/01/2011

Partitioned least-squares operator for large-scale geophysical inversion Geophysics 75, R121, 2010
Least-squares (LS) problems are encountered in many geophysical estimation and data analysis problems where a large number of observations (data) are combined to determine a model (some aspect of the earth structure). Examples of least squares in seismic exploration include several data processing algorithms, theoretically accurate LS migration, inversion for reservoir parameters, and background velocity estimation. A frequently encountered problem is that the volume of data in 3D is so large that the matrices required for the LS solution cannot be stored within the memory of a single computer. A new technique is described for parallel computation of the LS operator that is based on a partitioned-matrix algorithm. The classical LS method for solution of block-Toeplitz systems of normal equation (NE) to the general case of block-Hermitian and non-Toeplitz systems of NE. is generalized. Specifically, a solution of a block-Hermitian system of NE is shown that may be obtained recursively by linearly combining the solutions of lesser order that are related to the forward and backward subsystems of equations. This results in an efficient parallel algorithm in which each partitioned system can be evaluated independently. The application of the algorithm to the problem of 3D plane wave transformation is demonstrated. ©2010 Society of Exploration Geophysicists
Apresentação
01/01/2011

Ground-roll attenuation based on SVD filtering
We present a singular value decomposition (SVD) filtering method for attenuation of the ground roll. Before the SVD computation, the normal move-out (NMO) correction is applied to the seismograms, with the purpose of flattening the reflections. SVD is performed on a small number of traces in a sliding window. The output trace is the central trace of the first few eigenimages. These contains mostly horizontally aligned signals, and other noise in the data will be suppressed. The new method preserves the character and frequency content of the horizontal reflections and attenuates all other type of events. We illustrate the method using land seismic data of the Tacutu basin, located in the north-east part of Brazil. The results show that the proposed method is effective and is able to reveal reflections masked by the ground-roll. ©2009 Society of Exploration Geophysicists
Artigo em Revista
01/01/2011

Simultaneous 3D depth-to-basement and density-contrast estimates using gravity data and depth control at few points
We have developed a gravity-inversion method for simultaneously estimating the 3D basement relief of a sedimentary basin and the parameters defining a presumed parabolic decay of the density contrast with depth in a sedimentary pack, assuming prior knowledge about the basement depth at a few points. The sedimentary pack is approximated by a grid of 3D vertical prisms juxtaposed in both horizontal directions of a right-handed coordinate system. The prisms' thicknesses represent the depths to the basement and are the parameters to be estimated from the gravity data. To estimate the parameters defining the parabolic decay of the density contrast with depth and to produce stable depth-to-basement estimates, we imposed smoothness on the basement depths and proximity between estimated and known depths at boreholes. We applied our method to synthetic data from a simulated complex 3D basement relief with two sedimentary sections having distinct parabolic laws describing the density-contrast variation with depth. The results provide good estimates of the true parameters of the parabolic law of density-contrast decay with depth and of the basement relief. Inverting the gravity data from the onshore and part of the shallow offshore Almada Basin on Brazil's northeastern coast shows good correlation with known structural features.
Dissertação de Mestrado
12/10/2010

Atenua√ß√£o de reflex√£o m√ļltipla do fundo marinho utilizando deconvolu√ß√£o preditiva adaptativa
A atenua√ß√£o das reflex√Ķes m√ļltiplas de curto, m√©dio ou longo per√≠odos em dados s√≠smicos mar√≠timos represnta um grande e importante problema do procesamento de dados s√≠smicos enfrentado pela ind√ļstria do petr√≥leo.Tais reflex√Ķes m√ļltiplas est√£o presntes nos dados s√≠micos adquirdos sobre l√Ęmina de √°gua e prejudicam sobremaneira oprocesamento dos dados e qualidafefinal da imagem s√≠mica.

O m√©todo de deconvolu√ß√£o preditiva de Wiener-Levinson (WL) visa a predi√ß√£o e subtra√ß√£o desses eventos peri√≥dicos.Os filtros preditvos s√£o obtidos com o m√©todo dos m√≠nimos quadrados e implicitamente utilzam a premissa usual de que os dados s√≠smicos possuem valores de amplitude nula fora da jqnela de tempo considerada. Desta forma os filtros de WL perdem efic√°cia na predi√ß√£o do evento peri√≥dico penalizando o resultado final da atenua√ß√£o da m√ļltipla. Outro fator limitante do sucesso da deconvolu√ß√£o preditva de WL √© a aus√™ncia de periodicidade das reflex√Ķesm√ļltiplas ao longo do tra√ßo s√≠mico. A perfeita periodicidade ocorre apenas em registros de incid√™ncia normal, quando os tra√ßo s√£o de afastamento nulo entre fonte-receptor, o que faz a deconvolu√ß√£o preditiva de WL n√£oser t√£o eficaz.

Na presente disserta√ß√£o foi investigada a aplica√ß√£o do m√©todo de deconvolu√ß√£o preditiva utilzando o algoritmo de Morf modificado (predi√ß√£o unit√°ria L = 1 para predi√ß√£o arbitr√°ia L > 1), que n√£o faz considera√ß√Ķes quanto √†s amplitudes das amostras fora da janela especificada. Este algoritmo √© apropriado para trabalhar no interior de janelas do tra√ßo s√≠micos sem que o filtro perca sua efic√°cia de predizer e, consequentemente, atenuar a reflex√£o m√ļltipla. Utilzando o algoritmo de Morf modificado sobre janelas deslizantes de tempo foi definido um procedimento que denominou-se de deconvolu√ß√£o adaptativa de Morf modicada (DAMM). Este m√©todo foi comparado com resultados obtidos com o m√©todo de deconvolu√ß√£o adaptativa de WL(DAWL).

Resultados com dados sint√©ticos e reais demonstrarama efic√°cia e superioridade da DAMM na atenua√ß√£o de reflex√Ķes m√ļltiplas. O emprego do m√©todo sobre dados reais da Bacia do Jequitinhonha mostraram que o m√©todo DAMM atenuou as m√ļltiplas de maneira mais efetiva que o m√©todo DAWL. Os grandes problemas e dificuldades que s√£o encontrados na atenua√ß√£o das reflex√Ķes m√ļltiplas de curto per√≠odo na parte de l√Ęmica d'√°gua rasa da plataforma continental e as m√ļltiplas de m√©dio per√≠odo na regi√£o da quebra da talude foram resolvidos satisfatoriamente com o m√©todo DAMM.

Os resultados com a DAMM s√£o considerados bons, inclusive na compara√ß√£o com resultados obtidos com o m√©todo SRME, bastante utilizaod na ind√ļstria do petr√≥leo. Os resultados promissores obtidos sugerem o emprego da DAMM no processamento s√≠smico bem como a extens√£o do m√©todo DAMM para a forma multicanal, esperando-se assim tornar o m√©todo ainda mais robusto e eficaz.
Apresentação
12/10/2010

An adaptive local-slope SVD filtering approach to enhance events on seismic sections
We present an adaptive singular value decomposition (SVD) filtering method for enhancement of the spacial coherence of the reflections and for the attenuation of the uncorrelated noise. The SVD filtering is performed on a small number of traces and a small number of samples collected around each data component. The method uses the local slope of the reflections to re-sample the data set surrounding each data component and the SVD filtering is locally applied to compute the filtered data.
Artigo em Revista
09/10/2010

Métodos estocásticos para modelagem de escoamento estacionário e transiente em meios porosos.
Uma maneira de incorporar a incerteza das medidas de campo e a variabilidade espacial nas propriedades hidr√°ulicas de aqu√≠feros e estabelecer distribui√ß√Ķes de probabilidade para os par√Ęmetros f√≠sicos do meio. As propriedades estat√≠sticas do potencial hidr√°ulico s√£o ent√£o determinadas pela solu√ß√£o num√©rica das equa√ß√Ķes
diferenciais estoc√°sticas que regem o regime de escoamento no aqu√≠fero. Neste trabalho descrevemos a utiliza√ß√£o de dois m√©todos de elementos finitos estoc√°sticos (o m√©todo de Monte Carlo e o m√©todo da Coloca√ß√£o) para estimar a m√©dia e a vari√Ęncia do potencial hidr√°ulico para fluxo saturado em meio estatisticamente heterog√™neo,
supondo que o coeficiente de transmissividade hidr√°ulica √© descrito por um processo lognormal. Um dos fatores decisivos na precis√£o num√©rica dos m√©todos √© o comprimento de correla√ß√£o associado √† transmissividade. Discutimos tamb√©m algumas configura√ß√Ķes de baterias de extra√ß√£o que foram recentemente propostas para uma explora√ß√£o adequada do aqu√≠fero Rec√īncavo na bacia do rio Capivara (Bahia, Brasil), comparando dois modelos cl√°ssicos e introduzindo a aleatoriedade da transmissividade em um dos arranjos de po√ßos que foram propostos.
Artigo em Revista
09/10/2010

Influence of Sea Water Resistivity on MCSEM Data.
O Marine Controlled Source ElectroMagnetic (MCSEM) √© um m√©todo geof√≠sico para a detec√ß√£o de camadas resistivas contidas abaixo do assoalhooce√Ęnico. Neste trabalho n√≥s modelamos os dados do MCSEM em um ambiente unidimensional, incluindo varia√ß√Ķes na resistividade da √°gua do mar, na forma de camadas de resistividades uniformes. Estas varia√ß√Ķes na resistividade da √°gua podem surgir devido √† influ√™ncia de correntes marinhas, gradientes de temperatura ou mudan√ßa na salinidade da √°gua. N√≥s estudamos o efeito destas varia√ß√Ķes nos dados do m√©todo MCSEM. Nossos resultados mostram que a interpreta√ß√£o pode ser fortemente influenciada, principalmente quando s√£o analisados os dados normalizados. Vimos que as mudan√ßas na resistividade da √°gua t√™m um efeito sobre os dados similar √†quele de mudan√ßas na profundidade da l√Ęmina d'√°gua, sendo que ambos influenciam na atenua√ß√£o da chamada "air-wave".
<<  <   1  2  3  4  5  6  7  8  9  10  11  12  13  14  15  16  17  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53  54  55  56  57  58  59  60  61  62  63  64  65  66  67   >  >>


An√ļncios

29/05/2023

 

IX SEMANA DE INVERNO DE GEOF√ćSICA 03-05 de Julho, UNICAMP, Campinas-SP

A Semana de Inverno de Geofísica é um evento regular do Instituto Nacional de Ciência e Tecnologia de Geofísica do Petróleo (INCT-GP/CNPq), organizado pelo Grupo de Geofísica Computacional (GGC) do IMECC/UNICAMP.O evento é direcionado a estudantes em fim de graduação e início de pós-graduação interessados na área de Geofísica Aplicada, principalmente nos temas ligados à exploração de petróleo. A Semana presta-se a divulgar a carreira de Geofísica, franqueando aos alunos de pós-graduação o acesso a temas atuais de pesquisa em Geofísica, por meio de especialistas renomados na área.

Maiores informa√ß√Ķes: https://www.lgc.ime.unicamp.br/sig/