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This paper presents novel techniques for knowledge-assisted annotation and computer-assisted interpretation of seism data for oil and gas exploration. The paper describe the existing procedure for oil and gas search which consist of manually extracting information from seismic data and then aggregating it into knowledge in a detail-oriented bottom-up approach. The paper then point out the weakness of this approach and propose how to improve on it by introducing a holistic computer-assisted bottom-up interpretation. The Top-down approach also enables early representation of hypotheses and knowledge using domain-specific textures for annotating the data.
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