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The interplay between geophysics and geology is today one of the ma in challenges in reservoir characterization. In this paper we expose the ideia that by careful mathematical formulation and computer graphics tools it is possible to reconstruct 3D geological forms starting with seismic parameters. We reconstruct all the topological components of isosurfaces in subvoxel resolution starting with seismic parameters. Each isosurface component represents the boundary of a geobody. This type of reconstruction helps the modeler to understanding better the seismic information, the geobody spatial characteristics and make quantitative estimations such as reservoir volume.

The understanding of large data clustering is a relevant prob lem in several areas of science and engineering. Seismic signal are in general represented by large data sets. For petroleum geophysicists the choice of areas of interest is a demanding task. In this paper we introduce data mining visualizationtechniques, stellar coordinates and transfer functions, which easy the task of dealing visually with data clustering in an interactive and intuitive way allowing the user to make meaningful choices of 3D regions of interest to work with. Introducao A exploracao e analise de dad os multiatributos e um importante assunto em diferentes areas como simulacao de fluidos, imagens medicas e geofisicas. Pesquisadores da area de visualizacao da informacao desenvolveram inumeras tecnicas para explorar e analisar interativamente dados multivariados. Milhoes de amostras conduzem a uma dificuldade de selecao de poucas amostras que conduza a um interesse economico ou geocientifico, num determinado bancos de dados, que geralmente sao muito grandes e complexos. Uma solucao efetiva e alcancada ao se colocar o conhecimento humano e a interacao nesse processo de exploracao.