CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
Intelligent approach to improve metrological characteristics of optical fiber systems of pressure and temperature measurement, intended for the oil and gas industry
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Read | Vishnevskiy Aleksandr A., Yasoveev Vasikh Kh. Intelligent approach to improve metrological characteristics of optical fiber systems of pressure and temperature measurement, intended for the oil and gas industry // Caspian journal : management and high technologies. — 2015. — №3. — pp. 158-166. |
Vishnevskiy Aleksandr A. - post-graduate student, Ufa State Aviation Technical University, 12 Karl Marks St., Ufa, Republic of Bashkortostan, 450000, Russian Federation, host_of_peace@list.ru
Yasoveev Vasikh Kh. - D.Sc. (Engineering), Ufa State Aviation Technical University, 12 Karl Marks St., Ufa, Republic of Bashkortostan, 450000, Russian Federation, yasov@mail.ru
Considered possibilities and features intelligent approach to improving the metrological characteristics of the design of the fiber-optic pressure and temperature sensors for use in the oil and gas sector. Scroll to the metrological self-control such devices allow to minimize errors in the measurements. It is found that compared with the electronic devices (electronic sensors), fiber optic sensors may be errors determined randomly throws parameters. In addition, it found that these errors are not linked to the additive or the multiplicative interaction of the laws of other types of errors - they are determined by technological factors hydrocarbon production (finding the limits of the pressure in the borehole in the area within the settlement, there is no friction with abrasive materials). Moreover, these errors (errors) do not depend on the design and technology of the sensors. According to the analysis of world practice confirmed the feasibility of the intellectual approach to the development of techniques for monitoring and control systems to the electric-pump units through the use of fiber optic sensors.
Key words: искусственный интеллект, метрологические характеристики, волоконно-оптические системы, погрешности, метрологический самоконтроль, ранги приоритетов источников погрешностей, случайные броски параметров, самотермокомпенсация, artificial intelligence, metrol