Sample Data Expert System(SDES)

Award Information
Agency: Department of Energy
Branch: N/A
Contract: N/A
Agency Tracking Number: 41799
Amount: $74,954.00
Phase: Phase I
Program: SBIR
Awards Year: 1998
Solitcitation Year: N/A
Solitcitation Topic Code: N/A
Solitcitation Number: N/A
Small Business Information
Knowledge Based Systems, Inc.
P.O. Box 9930, College St, TX, 77842
Duns: N/A
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dr. Arthur Keen
 Vice President
 (409) 260-5274
Business Contact
 Mrs. G. Renee Hisaw
Title: Manager, AF&C
Phone: (409) 260-5274
Research Institution
50742-98-I Sample Data Expert System(SDES)--Knowledge Based Systems, Inc., P.O. Box 9930, , College Station, TX 77842-7930; (409) 260-5274 Dr. Arthur Keen, Principal Investigator Mrs. G. Renee Hisaw, Business Official DOE Grant No. DE-FG03-98ER82606 Amount: $74,954 Well drilling units have become saturated with large amounts of equipment sensory data monitoring instrumentation. Misinterpretation of equipment states, conditions, and required operator actions, based on static displays of sensory data, occurs often and can lead to unexpected equipment failures during production cycles, potential damage to other assemblies that operate within the drilling unit, and overall poor well drilling. This project will design, prototype, and implement an automated expert system to support operator decisions during well drilling operations. The system will be a fuzzy logic, rule based system that will apply a knowledge base of logical rules to monitored sensory readings. The result will be a display of equipment and drilling status/states, conditions, and required operator actions. Commercial Applications and Other Benefits as described by the awardee: The well drilling industry drilled 26,203 wells in 1998, a 14% increase of 1996. The estimated loss in maintenance and operational costs attributed to operator/engineer misinterpretation of sensory data is $109 million dollars, each year. Implementation of the proposed system would substantially reduce this cost._

* information listed above is at the time of submission.

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