Development of an automated system of control over a drilling mud pressure at the inlet to a well

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.209844

Keywords:

simulation, wells flushing, controller, pressure at the well inlet, control

Abstract

This paper addresses control over flushing a well, which belongs to the class of non-stationary dynamic stochastic objects. The object evolves over time and has a large transport delay, which increases with an increase in the well's length. The current work is aimed at solving the tasks on improving a mathematical model of the automated control system taking into consideration a constraint on the capacity of a drilling pumping unit. The normalized transition functions of a pumping unit have been examined, based on which the magnitude of the delay has been determined, and the structures and parameters of typical controllers have been synthesized.

It has been established that the only way to improve control quality is to use a more complex controller, which can reduce the negative impact of the delay.

The closed automated control systems with delay have been investigated, which ensures better indicators of the control process compared to the industrial systems based on PI controllers. It has been shown that the Fuzzy-PID-controllers demonstrate better quality indicators – an overshooting of 0 % and a transition process duration of 15 s in a wide range of changes in the external influences and system parameters.

An issue of the feasibility of applying the PI, PID-controllers with a Smith predictor has been considered. It has been shown that the quality of the control process involving a PID-controller and the Smith predictor is close to the quality indicators of the system with a Fuzzy-PID-controller. The need has been established to build a system that could independently adapt to changes in the geological and technical conditions and the geo-environment that occur in the process of deepening the well. It has been demonstrated that such systems should have a decision support circuit or be adaptive. The obtained data are useful and important because they make it possible to improve the efficiency of the control process of a technical hydraulic system of deep wells flushing during their deepening

Author Biographies

Andrii Lahoida, Ivano-Frankivsk National Technical University of Oil and Gas Karpatska str., 15, Ivano-Frankivsk, Ukraine, 76019

PhD, Associate Professor

Department of Automation and Computer-Integrated Technology

Vasyl Boryn, Ivano-Frankivsk National Technical University of Oil and Gas Karpatska str., 15, Ivano-Frankivsk, Ukraine, 76019

PhD, Associate Professor

Department of Automation and Computer-Integrated Technology

Georgiy Sementsov, Ivano-Frankivsk National Technical University of Oil and Gas Karpatska str., 15, Ivano-Frankivsk, Ukraine, 76019

Doctor of Technical Sciences, Professor

Department of Automation and Computer-Integrated Technology

Vasyl Sheketa, Ivano-Frankivsk National Technical University of Oil and Gas Karpatska str., 15, Ivano-Frankivsk, Ukraine, 76019

Doctor of Technical Sciences, Professor

Department of Software Engineering

References

  1. Thorogood, J. L., Florence, F., Iversen, F. P., Aldred, W. D. (2009). Drilling Automation: Technologies, Terminology and Parallels With Other Industries. SPE/IADC Drilling Conference and Exhibition. doi: https://doi.org/10.2118/119884-ms
  2. Alread, W., Bourque, I., Mannering, M., Chapmen, C., Castel, B. (2012). Drilling Automation. Oilfield Revieu, 24 (2), 18–27.
  3. Nesterenko, S. M., Savko, V. G. (2005). Printsipy postroeniya koml'yutizirovannoy sistemy kontrolya dinamicheskih parametrov protsessa bureniya skvazhin pri uskorennoy razvedke i razrabotke neftyanyh mestorozhdeniy. Stroitel'stvo neftyanyh i gazovyh skvazhin na sushe i na more, 9, 7–13.
  4. Macpherson, J. D., Jogi, P. N., Kingman, J. E. E. (2001). Application and Analysis of Simultaneous Near Bit and Surface Dynamics Measurements. SPE Drilling & Completion, 16 (04), 230–238. doi: https://doi.org/10.2118/74718-pa
  5. Iversen, F. P., Cayeux, E., Dvergsnes, E. W., Ervik, R., Byrkjeland, M., Welmer, M. et. al. (2008). Offshore Field Test of a New Integrated System for Real-Time Optimization of the Drilling Process. IADC/SPE Drilling Conference. doi: https://doi.org/10.2118/112744-ms
  6. Elmgerbi, A., Thonhauser, G., Prohaska, M., Nascimento, A., Roohi, A. (2016). Application of Computer Programming to Estimate Volumetric Change of an Active Drilling Fluid System Cause by Elastic Deformation of an Open Borehole Section Wall. Global Journal of Computer Science and Technology, 16 (3), 15–30. Available at: http://www.researchgate.net/publication/310604690
  7. Denney, D. (2011). Drilling Automation: An Automatic Trajectory-Control System. Journal of Petroleum Technology, 63 (12), 84–87. doi: https://doi.org/10.2118/1211-0084-jpt
  8. Green, S (2011). Full-scale Deep Well Drilling Simulation. Petroleum Drilling Technologies, 39 (3), 1–5.
  9. Lyons, K. D., Honeygan, S., Mroz, T. (2008). NETL Extreme Drilling Laboratory Studies High Pressure High Temperature Drilling Phenomena. Journal of Energy Resources Technology, 130 (4). doi: https://doi.org/10.1115/1.3000139
  10. Wagenknecht, M., Fadyeyeva, I. (2003). On Bicriterial Decisions in Well-Drilling Processes Using Fuzzy Logic. Conference: Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology. Zittau, 451–455.
  11. Sadlier, A. G., Laing, M. L. (2011). Interoperability: An Enabler for Drilling Automation and a Driver for Innovation. SPE/IADC Drilling Conference and Exhibition. doi: https://doi.org/10.2118/140114-ms
  12. Sadlier, A. G., Laing, M. L., Shields, J. A. (2012). Data Aggregation and Drilling Automation: Connecting the Interoperability Bridge between Acquisition, Monitoring, Evaluation, and Control. IADC/SPE Drilling Conference and Exhibition. doi: https://doi.org/10.2118/151412-ms
  13. Stock, T., Ronaes, E., Fossdal, T. H., Bjerkas, J. (2012). The Development and Successful Application of an Automated Real-Time Drilling Fluids Measurement System. SPE Intelligent Energy International. doi: https://doi.org/10.2118/150439-ms
  14. Burovoy nasos UNB-600. Available at: http://oilzip.ru/nasos_unb_unb_brn.html
  15. Burovye trehporshnevye nasosy UNBT-600, UNBT-950, UNBT-1180, UNBT-1500 – Uzly burovyh ustanovok. Available at: http://aznefteximmash.narod.ru/zap4/pro4/UNBT.htm
  16. Nasos NBT 475. Available at: http://www.sarmash.ru/product/product6/nbt475.html
  17. Nazarenko, O. M., Filchenko, D. V. (2008). Parametric Identification of State-Space Dynamic Systems: A Time-Domain Perspective. International Journal of Innovative Computing, Information and Control, 4 (7).
  18. Ait AIi Yahia, R., Benlefki, F. (2000). Viewing Equivalence between Fuzzy and Linear Controller. Proceedings East West Fuzzy Colloquium 2000, 8th Zittau Fuzzy Colloquium, 112–119.
  19. Pivoňka, P., Dokoupil, J. (2010). Sliding Window Recursive Neural Networks Learning Algorithm and its Application on the Identification in Adaptive PID. 17th Zittau East-West Fuzzy Colloquium. Zittau, 55–62.
  20. Kronikovskyi, D. O., Ladaniuk, A. P. (2009). Bahatoparametrychnyi rehuliator na osnovi nechitkoi lohiky. Mizhnarodna naukovo-tekhnichna konferentsiya: «Suchasni metody, informatsiyne, prohramne ta tekhnichne zabezpechennia system upravlinnia orhanizatsiino-tekhnolohichnymy kompleksamy». Kyiv: NUKhT, 37–38.
  21. Busher, V., Aldairi, A. (2018). Synthesis and technical realization of control systems with discrete fractional integral-differentiating controllers. Eastern-European Journal of Enterprise Technologies, 4 (2 (94)), 63–71. doi: https://doi.org/10.15587/1729-4061.2018.139892
  22. Demkiv, L. I. (2013). Doslidzhennia vplyvu metodu ahrehatsiyi na kharakterystyky systemy z nechitkym rehuliatorom Takahi-Suheno. Visnyk NTU “KhPI”. Seriya: Problemy avtomatyzovanoho elektropryvodu. Teoriya i praktyka, 36 (1009), 120–121.
  23. Regulirovanie proizvoditel'nosti nasosov. Available at: http://5fan.ru/wievjob.php?id=17756
  24. Belyaev, V. M., Gusman, M. T., Eskin, M. G. (1989). Sovremennoe sostoyanie kustovogo bureniya s primeneniem zaboynyh dvigateley. Moscow: VNIIOENG, 60.
  25. Baldenko, F. D., Shmidt, A. P. (2003). Avtomatizirovannye sistemy upravleniya rezhimom bureniya skvazhin zaboynymi dvigatelyami. Burenie i neft', 4, 14–17.
  26. Denisenko, V. V. (2006). PID-regulyatory: printsipy postroeniya i modifikatsii. Sovremennye tehnologii avtomatizatsii, 4, 66–74.
  27. Press, W. H., Teukolsky, S. A., Vetterling, W. T., Flannery, B. P. (2007). Numerical Recipes: The Art of Scientific Computing. Cambridge University Press, 1262.
  28. Saravanakumar, G., Wahidabanu, R. S. D., George, V. I. (2006). Robustness and performance of modified smith predictors for processes with longer dead times. ICGST International Journal on Automatic Control and System Engineering, 6 (3), 41–46.
  29. Chepenko, T. E. (2011). Metody prognozirovaniya vremennyh ryadov na osnove iskusstvennyh neyronnyh setey s elementami vremennoy zaderzhki. ASU i pribory avtomatiki, 157, 41–48.

Downloads

Published

2020-08-31

How to Cite

Lahoida, A., Boryn, V., Sementsov, G., & Sheketa, V. (2020). Development of an automated system of control over a drilling mud pressure at the inlet to a well. Eastern-European Journal of Enterprise Technologies, 4(2 (106), 82–94. https://doi.org/10.15587/1729-4061.2020.209844

Issue

Vol. 4 No. 2 (106) (2020): Information technology. Industry control systems

Section

Industry control systems

License

Copyright (c) 2020 Andrii Lahoida, Vasyl Boryn, Georgiy Sementsov, Vasyl Sheketa

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.