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- W1990224174 abstract "Seismic interpretation involves analysis of reflections on seismograms to recognize sub-surface features that are usually associated with oil entrapments such as anticline faults, reefs, salt domes, pinchouts, and direct hydrocarbon indicators such as weak, bright and flat spots. This is one of the most important steps in seismic processing because decisions about drilling locations are based on its results. However, it is time-consuming and requires many years of experience. Connectionist model has been successful applied to many domains such as patte: recognition,speech recognition, optimizati. , motor Control. We here choose this kind t model to build an expert system is becaul of its learning capability. Using tl connectionist-learning algorithm will be I more necessary for us to turn the implic. knowledge into explicit rules, it become just a simple, repeated learning sequence." @default.
- W1990224174 created "2016-06-24" @default.
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- W1990224174 date "1990-01-01" @default.
- W1990224174 modified "2023-09-27" @default.
- W1990224174 title "Connectionist expert system for seismic interpretations" @default.
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- W1990224174 doi "https://doi.org/10.1190/1.1890182" @default.
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