Multidimensional attribute analysis and pattern recognition for seismic interpretation

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Abstract

The interpretation of exploration seismic data to infer the probable locations of commercial quantities of hydrocarbons has deep roots in pattern analysis. In this paper we suggest a broad-based program or framework for treating the interpretation of seismic data as a problem or a collection of many problems in pattern recognition.

The basis for this approach is the identification of a large number of objective or quantitative attributes which may be combined in a variety of ways via pattern analysis to infer the information necessary to accurately interpret exploration seismic data, and to locate potentially commercial hydrocarbon reservoirs.

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