Computer Science Department
School of Computer Science, Carnegie Mellon University


MUD: A Drilling Fluids Consultant


Gary Kahn, John McDermott

March 1985

This paper reports on MUD , a drilling fluids consultant developed at Carnegie-Mellon University. MUD is able to diagnose drilling fluid problems and recommend treatments for their correction. MUD's functionality, its approach to diagnosis, and its treatment strategies are discussed. In addition, we examine why MUD's approach to diagnosis is successful given domain constraints, and draw several conclusions with respect to knowledge acquisition strategies.

58 pages

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