KNOWLEDGE-BASED SYSTEMS FOR THE INTERPRETATION OF SEISMIC DATA

Abstract

The domain of geophysical seismic data processing is analyzed for the applicability of artificial intelligence and knowledge engineering techniques. The main area of use for this domain is in the search for hydrocarbon deposits. The domain is characterized by large amounts of data and processing to be done on them. The processes range over a continuum from large volume signal processing to high level skilled interpretation. Many different attributes vary across this range. It is claimed that these attributes determine the style of processing and reasoning appropriate at each stage. A prototype system in the mid-range of the continuum has been developed. The prototype and its characteristics are examined in light of this analysis.