Issue |
MATEC Web Conf.
Volume 73, 2016
XV International Conference “Topical Problems of Architecture, Civil Engineering, Energy Efficiency and Ecology – 2016”
|
|
---|---|---|
Article Number | 07001 | |
Number of page(s) | 8 | |
Section | Management, Organization and Planning of Construction Works and Municipal Facilities | |
DOI | https://doi.org/10.1051/matecconf/20167307001 | |
Published online | 11 August 2016 |
Improving the Efficiency of Administrative Decision-Making when Monitoring Reliability and Safety of Oil and Gas Equipment
1 Industrial University of Tyumen, 625001 Volodarskogo str. 38, Tyumen, Russia
2 Omsk State Technical University, st. Mira 11, Omsk, Russia
* Corresponding author: muzemenkova@mail.ru
Methodology of rapid assessment of reliability index was developed based on system analysis of technological parameters. Within functioning of on-line monitoring system of reliability index of industrial facility this method allows to increase efficiency of making managerial decisions on technical and preventive maintenance. The technique is based on the analysis of technological parameters of operational modes of pipeline transport facilities registered by dispatcher controls. The created technique can be used by the operating, research, design institutes and oil and gas transport enterprises when declaring industrial safety. The received mathematical models allow federal services of supervision, the independent expert organizations to predict the development of reliability in the registered block of dispatching data either in real time mode, or taking into account the dynamics of service conditions of the object.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.