Planning and interpreting cement bond logs; Implementation of an expert system
- Arco Oil and Gas Co. (US)
The Cement Bond Log Advisor is an expert system being developed to assist users in the design, evaluation, and interpretation of cement bond logs (CBL's). CBL's are produced by sonic tools run after the casing is cemented in a well to determine how well the cement is bonded to the casing and formation and whether a cement squeeze jog should be attempted. During the development of program, two particular challenges were encountered and resolved in ways that might be of general interest to developers of expert system applications for the petroleum industry. The first challenge was to find an efficient and effective method for guiding the user in correlating and interpreting the relationships between multiple sources of continuous visual data (the various waveforms making up the log output). Second, the nomographs, which correlate log amplitudes with cement compressive strength and are used in the log interpretation, were derive from empirical data and were not readily reduced to functional relationships through traditional curve-fitting techniques. The use of adductive induction was found to be effective in deriving suitable relationships. The paper focuses on the techniques used to implement the application, with emphasis placed on how the two challenges described above were met.
- OSTI ID:
- 5604197
- Journal Information:
- SPE Computer Applications (Society of Petroleum Engineers); (United States), Journal Name: SPE Computer Applications (Society of Petroleum Engineers); (United States)
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
WELL CASINGS
CEMENTING
WELL LOGGING
BONDING
CEMENTS
COMPRESSION STRENGTH
DATA ANALYSIS
DESIGN
EVALUATION
EXPERT SYSTEMS
PETROLEUM INDUSTRY
BUILDING MATERIALS
FABRICATION
INDUSTRY
JOINING
MATERIALS
MECHANICAL PROPERTIES
020300* - Petroleum- Drilling & Production
990200 - Mathematics & Computers