Computer­integrated technology for the early detection of breaches in the borehole walls stability in the drilling process

Authors

  • Yulia Golovata Ivano-Frankivsk National Technical University of Oil and Gas Karpatska str., 15, Ivano-Frankivsk, Ukraine, 76019, Ukraine https://orcid.org/0000-0003-3720-4392
  • Miroslav Kohutiak Ivano-Frankivsk National Technical University of Oil and Gas Karpatska str., 15, Ivano-Frankivsk, Ukraine, 76019, Ukraine https://orcid.org/0000-0003-0026-7744
  • Andriy Lagoyda Ivano-Frankivsk National Technical University of Oil and Gas Karpatska str., 15, Ivano-Frankivsk, Ukraine, 76019, Ukraine https://orcid.org/0000-0002-0862-7786
  • Natalya Sabat Ivano-Frankivsk National Technical University of Oil and Gas Karpatska str., 15, Ivano-Frankivsk, Ukraine, 76019, Ukraine
  • George Sementsov Ivano-Frankivsk National Technical University of Oil and Gas Karpatska str., 15, Ivano-Frankivsk, Ukraine, 76019, Ukraine https://orcid.org/0000-0001-8976-4557

DOI:

https://doi.org/10.15587/1729-4061.2017.90655

Keywords:

automatic detection, stability of the walls of a borehole, drilling, Veitch-Karnaugh diagrams

Abstract

We substantiated and examined computer-integrated technology for the early detection of breaches in the stability of walls of a borehole based on the knowledge base of clear rules that allow operating the sets of input technological parameters and preventing emergencies.

A formal mechanism is proposed for supporting the decision-making process in real time based on the operation with logic functions to detect breaches in the stability of walls of a borehole. This makes it possible to directly operate with the developed clear logic structure and information on the current values of controlled factors and to provide intelligent support for the process of decision-making when establishing governing values for the controlled parameters of a technological process. A basis of the devised formal mechanism is the model that is presented in the normal disjunctive form. It provides for a high level of analysis of the current input information and the formation of decision on the breach of stability of the walls of a borehole with the loss of circulation.

We realized the scheme of logic device (finite automaton), designed for the early detection of breach in the stability of walls of a borehole in the process of drilling oil and gas boreholes, which is based on logic function and the Veitch-Karnaugh methods. The designed device, based on the current information about the factors of drilling process, generates optimal decision regarding early detection of breach in the stability of walls of a borehole.

Author Biographies

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

Postgraduate student

Department of automation computer-integrated technologies

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

PhD, Associate Professor

Department of automation computer-integrated technologies

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

Assistant

Department of automation computer-integrated technologies

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

PhD

Department of Computer Systems and Networks

George 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 computer-integrated technologies

References

  1. Tan, Z. Y., Yue, Z. Q., Cai, M. F. (2007). Analysis of energy for rotary drilling in weathered granite formation. Chinese Journal of Rock Mechanics and Engineering, 26 (3), 478–483.
  2. Draganchuk, O. T., Prygorovs'ka, T. O. (2008). Analiz vidpracjuvannja dolit PDS na rodovyshhah Ukrai'ny i svitu. Naftogazova energetyka, 4, 11–15.
  3. Chygur, L. Ja., Dolishnja, Ju. B. (2010). Obgruntuvannja pryjnjattja rishen' pro moment logichnogo zavershennja rejsu dolota PDC. Naftogazova energetyka, 2, 12–14.
  4. Chudyk, I. I., Gryciv, V. V. (2008). Metodyka rozrahunku energii' deformacii' ta obertannja buryl'noi' kolony u vertykal'nij sverdlovyni. Naftogazova energetyka, 2, 60–64.
  5. Chygur, L. Ja. (2011). Informacijna model' tehnichnogo stanu dolit typu PDC ta V-kryterij pryjnjattja rishen'. Naftogazova energetyka, 1, 85–90.
  6. Chudyk, I. I., Babij, R. B. (2007). Optymal'na podacha promyval'noi' ridyny na vybij pry burinni sverdlovyny. Naftogazova energetyka, 3, 71–75.
  7. Tan, Z. Y., Cai, M. F., Yue, Z. Q. et. al. (2007). Identification of interface of earth fill with weathered granite in site investigation of Hong Kong. Yantu Gongcheng Xuebao/Chinese Journal Of Geotechnical Engineering, 29 (2), 169–173.
  8. Tan, Z., Wang, S., Cai, M. (2009). Similarity identification method on formational interfaces and application in general granite. International Journal of Minerals, Metallurgy and Materials, 16 (2), 135–142. doi: 10.1016/s1674-4799(09)60023-6
  9. Tian, H., Li, S., Xue, Y. et. al. (2011). Identification of interface of tuff stratum and classification of surrounding rock of tunnel using drilling energy theory. Chin. J. Rock. Mech. Eng., 33 (8), 2457–2464.
  10. Chygur, L. Ja. (2012). Metody vyznachennja efektyvnyh kleruval'nyh dij dlja avtomatyzacii' procesu keruvannja vidpracjuvannjam dolit. Naftogazova energetyka, 1 (17).
  11. Hoseinie, S. H., Aghababaei, H., Pourrahimian, Y. (2008). Development of a new classification system for assessing of rock mass drillability index (RDi). International Journal of Rock Mechanics and Mining Sciences, 45 (1), 1–10. doi: 10.1016/j.ijrmms.2007.04.001
  12. Sabat, N. V. (2007). Metod kontrolju burymosti girs'kyh porid v procesi poglyblennja sverdlovyn. Akademycheskyj vestnyk, 19, 52–53.
  13. Koguch, Ja. R., Sabat, N. V. (2007). Ocinka potochnyh znachen' burymosti girs'kyh pored. Metody ta prylady kontrolju jakosti, 19, 83–86.
  14. Singh, T. N., Gupta, A. R., Sain, R. (2006). A Comparative Analysis of Cognitive Systems for the Prediction of Drillability of Rocks and Wear Factor. Geotechnical and Geological Engineering, 24 (2), 299–312. doi: 10.1007/s10706-004-7547-0
  15. Koguch, Ja. R., Sabat, N. V. (2007). Kontrol' burymosti girs'kyh porid v procesi poglyblennja naftovyh i gazovyh sverdlovyn. Naukovyj visnyk IFNTUNG, 1, 116–119.
  16. Sheketa, V. I., Demchyna, M. M., Mel'nyk, V. D. (2013). Implementacija intelektual'noi' strategii' pryjnjattja rishen' u procesi burinnja. Naftogazova energetyka, 2, 38–50.
  17. Demchyna, M. M. (2012). Implementacija koncepcij shtuchnogo intelektu v tehnologichnyh procesah burinnja naftovyh i gazovyh sverdlovyn. Naukovyj visnyk IFNTUNG, 3, 98–111.
  18. Koguch, Ja. R., Bronovs'kyj, I. I. (2007). Avtomatyzovana obrobka geologo-tehnologichnoi' informacii' pro proces burinnja sverdlovyn. Akademycheskyj vestnyk, 19, 12–15.
  19. Prensky, S. (2006). Recent advances in LWD/MWD and formation evaluation. World Oil, 69–75.
  20. Shi, S., Li, S., Li, L., Zhou, Z., Wang, J. (2014). Advance optimized classification and application of surrounding rock based on fuzzy analytic hierarchy process and Tunnel Seismic Prediction. Automation in Construction, 37, 217–222. doi: 10.1016/j.autcon.2013.08.019
  21. Bhatnagar, A., Khandelwal, M. (2010). An intelligent approach to evaluate drilling performance. Neural Computing and Applications, 21 (4), 763–770. doi: 10.1007/s00521-010-0457-6
  22. Fadjejeva, I. G., Goral', L. T. (2014). Zastosuvannja suchasnyh modelej u systemi strategichnogo upravlinnja naftogazovydobuvnymy pidpryjemstvamy. Ekonomichnyj chasopys-XXI, 1-2 (1), 106–109.
  23. Gorbijchuk, M. I., Kropyvnyc'ka, V. B. (2005). Optymal'ne keruvannja procesom mehanichnogo burinnja. Naftova i gazova promyslovist', 3, 20–22.
  24. Grunyk, A., Durnjak, B., Sikora, L. (2011). Informacijna tehnologija operatyvnogo upravlinnja v avtomatyzovanyh ijerarhichnyh systemah. Visn. derzh. un-tu «Lviv. politehnika», 26, 16–19.

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Published

2017-02-27

How to Cite

Golovata, Y., Kohutiak, M., Lagoyda, A., Sabat, N., & Sementsov, G. (2017). Computer­integrated technology for the early detection of breaches in the borehole walls stability in the drilling process. Eastern-European Journal of Enterprise Technologies, 1(2 (85), 48–55. https://doi.org/10.15587/1729-4061.2017.90655