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Abstract

Seismic data from an Albian carbonate field located in the Campos Basin (offshore Brazil) reveal, through conventional interpretation and characterization studies, differential zones of more complex structures. Geometric attributes extraction and multi-attributes patterns recognition analysis on a time migrated amplitude volume highlight features that could be related to fracture zones in the carbonate reservoir rock. Based on a fractal theory, a seismic structural characterization workflow can be adapted as a fracture characterization approach in order to identify fracture sets and estimate a fracture intensity property. From the generation of an Eigen structure-based coherence cube, several algorithms and Laplacian filters are applied to extract seismic discontinuities and produce new seismic attributes. The generation of fracture intensity properties for every reservoir unit on the static model grid, in addition with the identification of principal fracture orientations and fracture apertures, drives the construction of Discrete Fracture Networks (DFNs) and their associated properties. Resultant properties as porosity, permeability and fracture effective area can be exported to dual-porosity/permeability flow simulators for improving the history matching and establish new predictions with more confidence.

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/content/papers/10.3997/2214-4609.20131803
2013-11-05
2024-04-23
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20131803
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