Chygur L. The decision support system for managing practicing drilling tool abrasive action during drilling process.

The thesis is devoted to the improvement of support decision methods in the management of practicing bits of abrasive type PDC in drilling oil and gas wells through the investigation and application of dynamic intellectual analysis of informative parameters. Based on analysis of current methods and decision support systems concernig working bits in drilling oil and gas wells theoretical researches which are connected with the improving methods of decision support during the process control testing new generation PDC diamond bits new generation PDC. The theoretical foundations of dynamic analysis and identification process working drill bits such as PDC are developed which operates under a priori unknown disturbances, in order to enhance the process of drilling oil and gas wells due to more effectual sequential trimming of non-stationary array of information about working bits. A neuro-architecture of decision support protest is developed thus improving the quality of the solution of the problem of dynamic data mining of nonstationary nonlinear process testing of diamond bits new generation PDC under a priori and the current uncertainty. The simulation and comparative analysis of different approaches is carried out and the structure of decision support system for process control testing of diamond bits new generation PDC is developed.