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Use of artificial intelligence methods when determining leaks from oil pipelines

Mamonova Tatyana Egorovna  (PhD in Technological Sciences, associate professor, Federal state autonomous institution of higher education National research Tomsk Polytechnic University )

Sidorova Anastasiya Aleksandrovna  (assistant, Federal state autonomous institution of higher education National research Tomsk Polytechnic University)

In this work the mathematical equations describing change of pressure in the pipeline are presented. Transitional characteristics of settlement pressure in a pipe are shown at various coordinates of leak. Use of artificial intelligence methods, such as expert systems and neural networks for determination of leak coordinate from the oil pipeline is specified. The neural network by means of the GUI interface and visual application of Simulink of a MatLab packet for leak position fix is built. For a research of optimum position of the pressure sensor on the pipeline in the MatLab program the expert system is constructed.

Keywords:Oil pipeline; artificial intelligence methods; leak from the oil pipeline; pressure in pipe, neural network, static expert system

 

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Citation link:
Mamonova T. E., Sidorova A. A. Use of artificial intelligence methods when determining leaks from oil pipelines // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2017. -№12. -С. 51-56
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