--> ABSTRACT: Manual and Automatic Seismic Facies Analysis on SISMAGE{TM} Workstation, by M. Morice, N. Keskes, and F. Jeanjean; #91021 (2010)

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Manual and Automatic Seismic Facies Analysis on SISMAGE{TM} Workstation

MORICE, MICHEL, NAAMEN KESKES, FREDERIC JEANJEAN

The presentation discusses using image analysis techniques applied to characterize a very complex turbiditic system by seismic. Today, integrated structural, stratigraphic and facies interpretation of seismic multisurveys (2D and 3D data) has become a large part of the interpretative process for many explorationists and exploitationists. It is an effective means of helping to control the costs by improving drilling results, and forecasting optimum wellspacing in field development.

Results of PERDANA turbiditic Pliocene fan complex studied here will be presented illustrating the image analysis tools that allowed to view new features not visible on conventional seismic displays. In the "automatic seismic facies recognition," we use a classification tool based of "neural network techniques." There are two applications to neural networks: (1) The elements used in seismic interpretation are seismic traces in a window running parallel to an interpreted horizon or an interval defined by two picked horizons. We use an approach described by Kohonen (1984) that seeks not only a classification of traces, but also an organisation of these classes statistically analysed. (2) The second classification tool can combine differents parameters of selected attributes. In addition to the energetic and frequential attributes issued from amplitude values, the new automatic spatial of seismic reflection configuration attributes can also be given "added value" to discerns new patterns for sedimentological interpretation, reservoir models and then lithological prediction.

AAPG Search and Discovery Article #91021©1997 AAPG Annual Convention, Dallas, Texas.