AUTOMATED INTELLIGENT SYSTEM FOR UNSCHEDULED SITUATIONS CONTROL IN DRILLING

Abstract

The research covers the development of method for technological errors control as a base element of intelligible system for preventing unscheduled situations arising in the process of drilling oil and gas wells based on the analysis of the structure of decision-making process on the set of imposed technological constraints. On the basis of the analysis of typical procedures for technological decision-making process the formal approach is formed for technological problems modeling by means of constraints presentation and satisfaction theory that is used as a main idea for developing an automated constraints-based intelligible system. The developed formal constructions for classification of technological constraints allow controlling the flow of technological problems of a current process and making it possible to select possible unscheduled situations on their set that forms the common base of technological decisions taking under the conditions of incomplete, imprecise, uncertain and fuzzy information. The constraints-based intelligible system is created, which allows to visualize the solutions to a technological problem as a part of decision-making process and to generate an adequate feedback to provide expert pieces of advice concerning performing necessary technological actions to overcome a routine unscheduled situation that is interpreted by a system as a process of satisfaction of a certain constraints set, system or hierarchy, imposed on the process of drilling oil and gas wells.