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| | Abstract | | Integrated interpretation of seismic and non-seismic data is a key approach for volcanic reservoir characterization with complex geology. We demonstrate a case study of an integrated analysis using Bayesian classification for a volcanic hydrocarbon reservoir in northeast Japan. The target reservoir is characterized into four lithofacies according to the morphology of lavas moving rapidly away from its vent onto the deep-sea floor during the Middle Miocene. The specific types of lava flows control productivity in the volcanic reservoir. Each lithofacies can be illustrated by the data-driven 3D visualization using the state-conditional probability density functions (PDFs), which are derived from gravity, magnetic, seismic and well data. The multi-geophysical data integration works for a high-resolution lithofacies modeling in practice. |
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