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3D seismic parameters can reflect the features of petroleum reservoir from different profiles. By analizing the 3D seismic parameters, we can assess the parameters of the reservoir characterization, such as deposition, structure and growth history, fluid saturation and so on. The traditional clustering methods can’t capture the degree of similarity between reservoir parameters very well, so we introduced in this paper the application of fuzzy C-means (FCM) clustering for the processing of 3D seismic parameters. It begins with the analizing the relationship between 3D seismic parameters and reservoir characterization parameters, and then we process the 3D seismic parameters with FCM and assess the parameters of reservoir characterization. The testing results show that FCM can classify the 3D parameters more accurately and provide a good evidence for the research of petroleum reservoir

Fuzzy C-means Clustering for 3D Seismic Parameters Processing