The Dipmeter Advisor was an early expert system developed in the 1980s by Schlumberger with the help of artificial-intelligence workers at MIT[1] to aid in the analysis of data gathered during oil exploration. The Advisor was generally not merely an inference engine and a knowledge base of ~90 rules, but generally was a full-fledged workstation, running on one of Xerox's 1100 Dolphin Lisp machines (or in general on Xerox's "1100 Series Scientific Information Processors" line) and written in INTERLISP-D, with a pattern recognition layer which in turn fed a GUI menu-driven interface. It was developed by a number of people, including Reid G. Smith,[2] James D. Baker,[3] and Robert L. Young.[4]

It was primarily influential not because of any great technical leaps, but rather because it was so successful for Schlumberger's oil divisions and because it was one of the few success stories of the AI bubble to receive wide publicity before the AI winter.

The AI rules of the Dipmeter Advisor were primarily derived from Al Gilreath, a Schlumberger interpretation engineer who developed the "red, green, blue" pattern method of dipmeter interpretation.[5] Unfortunately this method had limited application in more complex geological environments outside the Gulf Coast, and the Dipmeter Advisor was primarily used within Schlumberger as a graphical display tool to assist interpretation by trained geoscientists, rather than as an AI tool for use by novice interpreters. However, the tool pioneered a new approach to workstation-assisted graphical interpretation of geological information.

References

  1. ↑ "The Economist". January 9, 1982.
  2. ↑ "On the Development of Commercial Expert Systems". Retrieved October 1, 2011.
  3. ↑ "University of Southern California Department of Engineering". Archived from the original on June 21, 2010. Retrieved July 20, 2010.
  4. ↑ "AITopics – Applications of Artificial Intelligence – Petroleum Industry". Archived from the original on January 2, 2012. Retrieved October 1, 2011.
  5. ↑ Stefan M. Luthi, retrieved July 20, 2010 (10 April 2001). Geological Well Logs: Their use in Reservoir Modeling. ISBN 9783540678403.{{cite book}}: CS1 maint: multiple names: authors list (link) CS1 maint: numeric names: authors list (link)

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