Skip to main content
SpringerLink
Log in

Dynamic Measurement of Spatial Attitude at the Bottom Rotating Drillstring

  • Chapter
  • First Online:
Data Analytics for Drilling Engineering

Part of the book series: Information Fusion and Data Science ((IFDS))

  • 654 Accesses

Abstract

In oil and gas directional drilling technology and application, how to accurately measurement the spatial attitude of the bottom drillstring in real time while the drillstring rotating is a challenging problem. We developed a set of “strap-down” measurement system using the triaxial accelerometer and triaxial magnetometers installed near the bit, and real-time well deviation and azimuth can been measured even when the drillstring rotates. Although magnetic based system is the classical, we will use this system to achieve continuous measurement-while-drilling relying on software algorithms. We developed the novel state space models to establish the Kalman filter, improving the accuracy of dynamic measurements. Simulation and experiments results show that the continuous survey system with Kalman filter approach could effectively enhance the measurement precision, and deduce the error that produced by the drillstring vibration. The algorithm greatly improved the accuracy of well-trajectory measurements and is expected to be applied to ordinary magnetic surveying systems, which are more widely used in drilling engineering.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Brzezowski S, Fagan J. Analysis of alternate borehole survey systems, Proceeding of 39th Annual Meeting Institute of Navigation, Houston, 1983, p. 71–78.

    Article  Google Scholar 

  2. Joshi SD, Ding W. The cost benefits of horizontal drilling, Proceeding of American Gas Association, Arlington, 1991, p. 679–684.

    Google Scholar 

  3. Rehm WA, Garcia A, Cia SA. Horizontal drilling in mature oil fields, Proceeding of SPE/IADC Drilling Conference, New Orleans, 1989, p. 755–764.

    Google Scholar 

  4. Thorogood JL, Knott DR. Surveying techniques with a solid state magnetic multi-shot device. SPE Drill Eng. 1990;5(3):209–14.

    Article  Google Scholar 

  5. Warren T. Rotary steerable technology conclusion: implementation issues concern operators. Oil Gas J. Dec. 1998;96(12):23–4.

    Google Scholar 

  6. T. Yonezawa, E. J. Cargill, et al., Robotic controlled drilling: a new rotary steerable drilling system for the oil and gas industry, Proceeding of IADC/SPE Drilling Conference, Dallas, 2002, p. 744–758.

    Google Scholar 

  7. Poli S, Donaco F, Oppelt J, Ragnitz D. Advanced tools for advanced wells: rotary closed-loop drilling system-results of prototype field testing. SPE Drill Complet. 1998;13(2):67–72.

    Article  Google Scholar 

  8. Sugiura J, Bowler A, Hawkins R, Jones S, Hornblower P. Downhole steering automation and new survey measurement method significantly improves high-dogleg rotary-steerable system performance, SPE Annual Technical Conference and Exhibition, New Orleans, 2013.

    Google Scholar 

  9. Xue Qilong, Wang Ruihe, Sun Feng, et al. Continuous measurement-while-drilling utilizing strap-down multimodel surveying system, IEEE Trans Instrum Meas, vol. 63, no. 3, pp. 650–657, Mar. 2014.

    Google Scholar 

  10. Xue Q, Wang R, Huang L, Sun F. Dynamic solution approach to the inclination and Amizuth of bottom rotating drill string, SPE Western Regional Meeting, Monterey, 2013.

    Google Scholar 

  11. Wang R, Xue Q, Han L, et al. Torsional vibration analysis of push-the-bit rotary steerable drilling system. Meccanica. Jul. 2014;49(7):1601–15.

    Article  Google Scholar 

  12. Xue Q, Wang R, Feng S. Study on lateral vibration of rotary steerable drilling system. J Vibroeng. 2014;16(6):2702–12.

    Google Scholar 

  13. ElGizawy M, Noureldin A, Georgy J, Iqbal U, El-Sheimy N. Wellbore surveying while drilling based on Kalman filtering. Am J Eng Appl Sci. 2010;3(2):240–59.

    Article  Google Scholar 

  14. Elgizawy M, Noureldin A, El-Sheimy N. Continuous wellbore surveying while drilling utilizing MEMS gyroscopes based on Kalman filtering, Proceeding of SPE Annual Technical Conference Exhibit, Florence, 2010, pp. 5416–5428.

    Google Scholar 

  15. Jurkov AS, Cloutier J, Pecht E, Mintchev MP. Experimental feasibility of the in-drilling alignment method for inertial navigation in measurement-while-drilling. IEEE Trans Instrum Meas. Mar. 2011;60(3):1080–90.

    Article  Google Scholar 

  16. Noureldin A, Irvine-Halliday D, Mintchev MP. Accuracy limitations of FOG-based continuous measurement-while-drilling surveying instruments for horizontal wells. IEEE Trans Instrum Means. Jun. 2002;51(6):1177–91.

    Article  Google Scholar 

  17. A. Noureldin, H. Tabler, D. Irvine-Halliday, and M. Mintchev, Testing the applicability of fiber optic gyroscopes for azimuth monitoring for measurement-while-drilling processes in the oil industry, Proceeding IEEE Position Location Navigation Symposium, San Diego, 2000, p. 291–298.

    Google Scholar 

  18. Pecht E, Mintchev MP. Observability analysis for INS alignment in horizontal drilling. IEEE Trans Instrum Meas. May, 2007;56(5):1935–45.

    Article  Google Scholar 

  19. Zhang Y, Wang S, Fang J. Measurement-while-drilling instrument based on predigested inertial measurement unit. IEEE Trans Instrum Meas. Dec. 2012;61(12):3295–302.

    Article  Google Scholar 

  20. Chen C, Zhang Y, Li C. Surveying method of measurement while drilling based on the inertial sensor, Proceeding of 1st International Conference on PCSPA, Harbin, 2010, p. 1192–1195.

    Google Scholar 

  21. Walters PH. Method of determining the orientation of a surveying instrument in a borehole, US Patent 4709486, 1986.

    Google Scholar 

  22. Russell MK, Russell AW. Surveying of boreholes. US Patent 4163324, 1978.

    Google Scholar 

  23. Noureldin A, et al. Fundamentals of inertial navigation, satellite-based positioning and their integration. Berlin: Springer; 2013.

    Book  Google Scholar 

  24. Minkler G, Minkler J. Theory and application of kalman filtering. Palm Bay: Magellan Book Co; 1993.

    MATH  Google Scholar 

  25. Ding JJ. Time frequency analysis and wavelet transform class note. Taipei: Department of Electrical Engineering, National Taiwan University; 2007.

    Google Scholar 

  26. Russel MK, Russel AW. Surveying of boreholes, U.S. Patent 4163324, 1979.

    Google Scholar 

  27. DiPersio RD, Cobern ME. Method for measurement of azimuth of a borehole while drilling: US4813274, 1989.

    Google Scholar 

  28. Salychev O. Inertial systems in navigation and geophysics. Moscow: Bauman MSTU press; 1998.

    Google Scholar 

  29. Schwarz KP, Wei M. A framework for modelling kinematic measurements in gravity field applications. Billeting Geodesique. 1990;64(4):331–46.

    Article  Google Scholar 

  30. Salychev O. Inertial systems in navigation and geophysics. Moscow: Bauman MSTU press; 1998.

    Google Scholar 

  31. Qilong X, Ruihe W, Feng S, Leilei H. Continuous measurement-while-drilling utilizing strap-down multi-model surveying system. IEEE Trans Instrum Meas. 2014;63(3):650–7.

    Article  Google Scholar 

  32. Qilong X, Ruihe W, Baolin L, Leilei H. Dynamic measurement of spatial attitude at bottom rotating drillstring: simulation, experimental, and field test. J Energy Resour Technol Trans ASME. 2016;138(2):1–9.

    Google Scholar 

  33. Vitter JS. Random sampling with a reservoir. ACM Trans Math Softw. 1985;11(1):37–57.

    Article  MathSciNet  Google Scholar 

  34. Vitter JS. Random sampling with a reservoir. ACM Trans Math Softw. 1985;11(1):37–57.

    Article  MathSciNet  Google Scholar 

  35. Maybeck PS. Stochastic models, estimation and control. New York: Academic Press Inc; 1979.

    MATH  Google Scholar 

  36. Vanicek P, Omerbasic M. Does a navigation algorithm have to use a Kalman filter? Can Aeronaut Space J. 1999;45(3):292–6.

    Google Scholar 

  37. Qilong X, Henry L, Ruihe W, Baolin L. Continuous real-time measurement of drilling trajectory with new state-space models of Kalman filter. IEEE Trans Instrum Meas. 2016;65(1):144–54.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. China University of Geosciences, Beijing, China

    Qilong Xue

Authors
  1. Qilong Xue
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Xue, Q. (2020). Dynamic Measurement of Spatial Attitude at the Bottom Rotating Drillstring. In: Data Analytics for Drilling Engineering. Information Fusion and Data Science. Springer, Cham. https://doi.org/10.1007/978-3-030-34035-3_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-34035-3_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34034-6

  • Online ISBN: 978-3-030-34035-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation