Fractured Reservoir Characterization Using Post-Stack Seismic Attributes - Application to a Hungarian Reservoir

Abstract

Efficient development of fractured reservoirs has been notoriously difficult. This inefficiency arises from the difficulty in locating the fractures in the reservoir. By synergistically combining seismic data, containing the interwell information, with geologic and engineering data at the wells, we develop a fracture model that honors the various datasets and successfully predicts the location of fractures within the reservoir. <br>The reservoir consists of fractured metamorphic basement, with a hereogeneous distribution of both porosity and fractures. Thirteen wells exist in the field, 5 of which were used in building the reservoir model. Seismic inversion and spectral decomposition were applied to a 3D seismic survey covering the field in order to generate attributes used in the fracture characterization. In addition to the 4 post-stack seismic attributes, gamma ray, porosity, and resistivity models and 9 geomechanical attributes were generated for the fracture modeling. Using these 16 attributes and the fracture intensity at the control wells, a fracture model was built for the reservoir using the continuous fracture modeling (CFM) approach. Validation using the blind wells indicates that the fracture model was able to successfully predict both the highly fractured zones and the relatively unfractured zones within the reservoir.<br>