Control and diagnostics of deep-water rod pumps equipment condition by indirect method on wattmetrogram with the use of artificial neural networks

A. F. Sakaev

Vol 173

Pages:

101-104

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Research article

Geotechnical engineering, powerengineering and automation

Control and diagnostics of deep-water rod pumps equipment condition by indirect method on wattmetrogram with the use of artificial neural networks

Authors:

A. F. Sakaev

About authors

Postgraduate student G.V. Plekhanov Saint Petersburg Mining Institute

Date submitted:

2006-11-07

Date accepted:

2007-01-25

Date published:

2007-12-29

Abstract

The paper studies possibilities to indirectly determine actual values of oil dynamic head in the well and load curves of the bottom-hole pump basing on wattmeter cards (electric power input curves) with application of artificial neural networks.

Сакаев А.Ф. Контроль и диагностика состояния оборудования штанговых глубинных насосов косвенным методом по ваттметрограмме с использованием искусственных нейронных сетей // Записки Горного института. 2007. Т. 173 . С. 101-104.

Sakaev A.F. Control and diagnostics of deep-water rod pumps equipment condition by indirect method on wattmetrogram with the use of artificial neural networks // Journal of Mining Institute. 2007. Vol. 173 . p. 101-104.

References

Медведев В.С. Нейронные сети. Matlab 6 / Под. ред. В.Г.Потемкина. М.: Диалого-МИФИ, 2002. 496 с.
Чаронов В.Я. Автоматизация работы основного оборудования и проблемы энергосбережения на объектах нефтегазодобычи / АО «Татнефть». Альметьевск, 1998. 346 с.
Элияшевский И.В. Технология добычи нефти и газа. М.: Недра, 1985. 260 с.

Control and diagnostics of deep-water rod pumps equipment condition by indirect method on wattmetrogram with the use of artificial neural networks

Abstract

References

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