Vitaliy M. The intellimedia automated system for decisions support by the drilling of the oil and gas wells

The thesis for a candidate of technical sciences degree on speciality 05.13.07 – Automated systems. – Ivano-Frankivsk National Technical University of Oil and Gas, Ministry of Education and Science of Ukraine, Ivano-Frankivsk, 2021. The thesis is devoted to the development of method for intellimedia based decision support in the process of drilling of oil and gas wells based on the methodology of scalable markers, treated as an essential part of the intelligent training technology with the use of tutor-simulators as an intelligent automated systems means. By the constructing of the conceptual model of the subject of intellimedia information system, the basic components of the automated training systems was modelled for achieving the form of intelligent simulators in terms of features that represent the content of training materials and the methods of testing, including in the form of decision-support situations emulation control for projected technological solutions. The basics of simulation process for content of intellimedia automated system were studied based on the core technology of representation and constraint satisfaction theory by introducing the concept of technological problems with constrains situations as intelligent decision support tool implemented main intelligent features of intellimedia system. The structure meets the relevant conditions regarding technological constrains in the context of decision making and it allows the introduction of metric characteristics of formal structures in the process of building and implementing knowledge abductive output based on multimedia entries. The essence and types of abductive reasoning with imposed probabilistic component of the interpretations were analysed that allowed to evaluate the effectiveness of abductive approach as a whole by solving problems of classification on the set of multimedia content in order to facilitate the implementation of relevant domain knowledge, including their extraction from media with variables probabilistic estimation in the form of confidence factors for scalable markers with imposed constraints tool developing. The structure of algorithmic and system software for decision-making support based on the methodology of scalable graphic markers with imposed constraints was created for the existing intellimedia environment. Keywords: intellimedia, intelligent decision support, drilling of oil and gas wells, graphic markers, scalability, rules, knowledgebases, abductive framework, certainty coefficients, constraints, bitmap images, videos.