The reservoir characterization process can be defined as the three-dimensional and quantitative determination of structure and petrophysical properties of the oil field. The use of 3D seismic data in the reservoir characterization process has become more frequent mainly in the identification of the shape and the size of the sand bodies that constitute the reservoir. However, in some situations as the deep water turbidite reservoirs of Campos Basin, that are characterized by a complex distribution of sand bodies and subseismic thickness, the use of the conventional seismic amplitude data can result in serious mistakes in the definition of reservoir model. To solve the problem of the vertical seismic resolution limitation, is necessary to build an integrated model that use all information available about the reservoir. The most effective way to integrate the seismic data in the reservoir characterization process is by using acoustic impedance models, obtained by seismic inversion. The aim of this work is to show how the seismic inversion to acoustic impedance can support and improve the characterization of the reservoirs, when comparing the results obtained by the application of two seismic inversion methods, the recursive inversion and the constrained sparse-spike inversion. The seismic inversion methods are applied in a wedge synthetic reference model, that represent some features find in the deep water turbidite reservoir, like stratigraphic thinning and pinch-outs. Based on these results we can see the advantages in use the seismic inversion methods in the determination of geometry of sand bodies and in the calculation of petrophysical properties, and as a consequence more accuracy models can be generated and the forecasts about the behavior of the field can be done in most effective way.
reservoir characterization; seismic inversion; modelling
