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KNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING
 

Summary: KNOWLEDGE-BASED DECISION SUPPORT IN
OIL WELL DRILLING
Combining general and case-specific knowledge for problem solving
Pål Skalle1
and Agnar Aamodt2
Norwegian University of Science and Technology, NO-7491, Trondheim, Norway
1
Department of Petroleum Engineering and Geophysics. pskalle@ipt.ntnu.no
2
Department of Computer and Information Science. agnar.aamodt@idi.ntnu.no
Abstract: Oil well drilling is a complex process which frequently is leading to
operational problems. The process generates huge amounts of data. In order to
deal with the complexity of the problems addressed, and the large number of
parameters involved, our approach extends a pure case-based reasoning
method with reasoning within a model of general domain knowledge. The
general knowledge makes the system less vulnerable for syntactical variations
that do not reflect semantically differences, by serving as explanatory support
for case retrieval and reuse. A tool, called TrollCreek, has been developed. It is
shown how the combined reasoning method enables focused decision support
for fault diagnosis and prediction of potential unwanted events in this domain.

  

Source: Aamodt, Agnar - Department of Computer and Information Science, Norwegian University of Science and Technology

 

Collections: Computer Technologies and Information Sciences