Print this pageManual 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.