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Scientific and technical journal

«Equipment and technologies for oil and gas complex»

ISSN 1999-6934

Evolution of methodology for technical state monitoring of a gas treatment plant

UDC: 622.691.4
DOI: -

Authors:

ANDREEV D.I.1,
LYAPICHEV D.M.1,
ADMAKIN M.M.2

1 National University of Oil and Gas "Gubkin University", Moscow, Russia
2 Gazenergoexpertiza, St. Petersburg, Russia

Keywords: technical state monitoring, gas treatment plant, data processing, sea pipeline, metal temperature monitoring, laser distance measuring, monitoring system, process pipelines

Annotation:

The authors of the article analyze the results of monitoring of displacements and temperatures of the reference points on the tee-joints of adsorber piping systems of gas treatment plants as well as the load on the bearing system of these technological pipelines. Monitoring was carried out by using robotic tacheometer by laser distance measuring method, fibre-optic temperature sensors and load measuring sensors, respectively, which allow interrogating measuring instruments with various frequencies. The results of the analysis of dependences between temperature and displacements at the reference points of the tee-joints of the absorbers’ piping systems revealed presence of evident correlations between the measurements, the most significant of which was the correlation between the temperature measured at the upper point of the pipeline cross-section (12 hours) and longitudinal (relative to the axis of the piping systems) displacements caused by the effect of the piping metal linear expansion. On the basis of the data analysis it was concluded that it is necessary to synchronize the time of measurements with the technological cycles phases of gas treatment plant as well as to develop and implement an algorithm for changing the frequency of measuring instruments interrogation in case of temperature deviations relative to the experimentally determined ‘’typical‘’ for different phases of the cycle, due to the risk of informative data loss due to over-optimization of the data collection frequency, and, as a consequence, incorrect estimation of the residual resource.

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