Data optimization for the knowledge bases in the oil and gas Monitoring-While-Drilling (MWD) Systems

Abstract The ability of a knowledge-oriented system to learn requires the selection and organization data. article is devoted disclosure stages data preparation for application case-based procedures support decision-making by operator technological process in field oil gas wells drilling. presented concept allows concentrating expert experience subject area satisfies criteria main sources knowledge required functioning considerations. potential artificial intelligence based on semantic dictionaries area, case databases form bases, metrics similarity, adaptation configuration containers, which are identified as knowledge. effectiveness using computer simulators platform experimental research new models complex processes estimated.