ABSTRACT

Integration of seismic data accounting for the scale and precision of the available information is crucial for synthesizing reliable reservoir models. Seismic attributes are related to rock attributes such as lithofacies distributions and porosity through a complex transfer function. The parameters of the transfer function model cannot be uniquely determined leading to a probabilistic relationship between the spatial variability of reservoir attributes and seismic data.

Keywords:
precision, probabilistic relationship, reservoir characterization, geologic modeling, probabilistic neural network, artificial intelligence, geological information, geological modeling, main menu, reservoir model
Subjects:
Reservoir Characterization, Geologic modeling, Seismic processing and interpretation
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2008. Society of Exploration Geophysicists
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