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Purpose: The aim of this study is to develop an architecture of enterprise solutions that allow real-time (or simulated) extraction, storage and analysis of parameterized data from high- resolution sensors to more accurately predict the potential course of technological processes in the industry and solving of related logistics tasks. Design/methodology/approach: The development of an integration...
The proposed research is devoted to the problem of information models creation for intelligent control of wells drilling process through the relevant sensors derived parameters identification and feedback generation by the changes of the drilling environment through the modification of controlled variables for relevant process actuators under the imposed constraints.
The expected classes of the technological problems cases with the evaluation structure in the form of certainties were defined. This was done by the way of sums calculation for the weights prescribed to the constraints imposed in the form of estimations with the probability coefficients of relevancy for actual case's of the technological problems.
This paper presents a systematic view of the main issues associated with information modeling of oil and gas objects. There was done a detailed analysis for the sources of information describing oil and gas objects in the form of data models and knowledge's, especially from the standpoint of intelligible systems.
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