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Vol 173
Pages:
101-104
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RUS

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.
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References

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

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