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Application of Data Processing in Drilling Engineering: A Review

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Data Analytics for Drilling Engineering

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

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Abstract

Digitalization will reshape the oil industry has become the industry consensus, data have become a torrent flowing into every area of the global economy. This book is mainly for data processing and mining in drilling engineering, and is committed to build a bridge between drilling engineers and signal processing scientists. The technical development of drilling engineering focuses on commercial operations, so the final presentation of any kind of data processing theory is software and some kind of instrument, Many oil companies only give the results of the test, more is used for advertising, however, we need to get to the bottom of its theoretical basis.

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References

  1. Perry CA, Burgess DE, Turner WE. Rotary pulser for transmitting information to the surface from a drill string down hole in a well [P]. United States: US7327634B2, 2008.

    Google Scholar 

  2. Malone D, Johnson M. Logging while drilling tools, systems, and methods capable of transmitting data at a plurality of different frequencies [P]. United States: 5375098, 1994.

    Google Scholar 

  3. Hahn D, Peters V, Rouatbi C, Eggers H. Oscillating shear valve for mud pulse telemetry and associated methods of use [P]. United States: US6975244B2, 2005.

    Google Scholar 

  4. Hutin R, Tennet RW, Kashikar SV. New mud pulse telemetry techniques for deepwater applications and improved real-time data capabilities [R]. SPE 67762, 2001.

    Google Scholar 

  5. Zielke W. Frequency-dependent friction in transient pipe flow [J]. ASME J Basic Eng. 1968;90(1):109–15.

    Google Scholar 

  6. Vardy AE, Brown JMB. Transient turbulent friction in smooth pipe flows[J]. J Sound Vib. 2003;259(5):1011–36.

    Article  Google Scholar 

  7. Dopf AR, Camwell PL, Siemens WL, et al. Apparatus for receiving downhole acoustic signals: US 2005.

    Google Scholar 

  8. Camwell PL, Neff JM. Telemetry transmitter optimization using time domain reflectometry: US 2011.

    Google Scholar 

  9. Han JH, Kim YJ, Karkoub M. Modeling of wave propagation in drill strings using vibration transfer matrix methods[J]. J Acoust Soc Am. 2013;134(3):1920–31.

    Article  Google Scholar 

  10. Trofimenkoff FN, Segal M, et al. Characterization of EM downhole-to-surface communication links [J]. TEES Trans Geosci Remote Sens. 2000;38(6):2539–48.

    Article  Google Scholar 

  11. Wei L, Zaiping N, Xiangyang S, et al. Numerical modeling for excitation and coupling transmission of near field around the metal drilling pipe in lossy formation [J]. IEEE Trans Geosci Remote sens. 2014;52(7):3862–71.

    Article  Google Scholar 

  12. Poh Kheong V, Rodger D, Marshall A. Modeling an electromagnetic telemetry system for signal transmission in oil fields [J]. IEEE Trans Magn. 2005;41(5):2008–11.

    Article  Google Scholar 

  13. Michael J, Prideco G, David RH. Intelligent drill pipe creates the drilling network [R]. SPE 80454.

    Google Scholar 

  14. Fischer PA. Interactive drilling up-to-data drilling technology[J]. Oil Gas Sci Technol. 2004;59:343–56.

    Article  Google Scholar 

  15. Tomazic S. Comments on spectral efficiency of VMSK[J]. IEEE Trans Broadcast. 2002;48(3):61–2.

    Article  Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  18. 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 

  19. Qilong X, Ruihe W, Feng S, et al. Continuous measurement-while-drilling utilizing strap-down multimodel surveying system. IEEE Trans Instrum Meas. 2014;63(3):650–7.

    Article  Google Scholar 

  20. 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 

  21. Allan DW. Statistics of atomic frequency standards. Proc IEEE. 1966;54(2):221–30.

    Article  Google Scholar 

  22. Lawrence CN, Pines DJ. Characterization of ring laser gyro performance using the Allan variance method. J Guid Control Dyn. 1997;20:211–4.

    Article  Google Scholar 

  23. Hoffmann OJ, Jain JR, Spencer RW, Makkar N. Drilling dynamics measurements at the drill bit to address today’s challenges. IEEE international instrumentation and measurement technology conference: smart measurements for a sustainable environment, Graz, p. 1772–1777, 13–16, 2012.

    Google Scholar 

  24. Ali H, Nayfeh, Balakumar B. applied nonlinear dynamics: analytical, computational, and experimental methods. Weinheim: Wiley-VCH; 1995.

    MATH  Google Scholar 

  25. Ertas D, Bailey JR, et al. Drill string mechanics model for surveillance, root cause analysis, and mitigation of torsional and axial vibrations. Louisiana: Society of Petroleum Engineers; 2013.

    Google Scholar 

  26. Jansen JD. Nonlinear rotor dynamics as applied to oil well drillstring vibrations. J Sound Vib. 1991;147(1):115–35.

    Article  Google Scholar 

  27. Navarro-Lopez EM, Cortes D. Avoiding harmful oscillations in a drillstring through dynamical analysis. J Sound Vib. 2007;307:152–71.

    Article  Google Scholar 

  28. Millheim K, Jordan S, Ritter CJ. Bottom-hole assembly analysis using the finite-element method. SPE J. 1978;30(2):265–74.

    Google Scholar 

  29. Costa FS, Rebeiro PR. Finite element modeling of the mechanical behavior of unbalanced drill collars. Rio de Janeiro: Society of Petroleum Engineers; 1997.

    Google Scholar 

  30. Ledgerwood LW, Jain JR, Ho®mann OJ, et al. Downhole measurement and monitoring lead to an enhanced understanding of drilling vibrations and polycrystalline diamond compact bit damage. Louisiana: Society of Petroleum Engineers; 2013.

    Book  Google Scholar 

  31. Raap C, Craig AD, Graham RB. Drill pipe dynamic measurements provide valuable insight into drill string dysfunctions. Ohio: Society of Petroleum Engineers; 2011.

    Book  Google Scholar 

  32. Oueslati H, Jain JR, Reckmann H, et al. New insights into drilling dynamics through high- frequency vibration measurement and modeling. Louisiana: Society of Petroleum Engineers; 2013.

    Book  Google Scholar 

  33. Chien ML, Nicholas V, Hamad K, et al. Parametric studies on drill-string motions. Int J Mech Sci. 2012;54(1):260–8.

    Article  Google Scholar 

  34. Besaisow AA, Payne ML. A study of excitation mechanisms and resonances inducing BHA vibrations. New Orleans: Society of Petroleum Engineers; 1986.

    Google Scholar 

  35. Schen AE, Snell AD, Stanes BH. Optimization of bit drilling performance using a new small vibration logging tool. Amsterdam: Society of Petroleum Engineers; 2005.

    Book  Google Scholar 

  36. Field DJ, Swarbrick AJ, Haduch GA. Techniques for successful application of dynamic analysis in the prevention of field-induced vibration damage in MWD tools. Amsterdam: Society of Petroleum Engineers; 1993.

    Book  Google Scholar 

  37. Dubinsky V. Reference signal encoding for seismic while drilling measurement: U.S. Patent 6,078,868[P]. 2000-6-20.

    Google Scholar 

  38. Petronio L, Poletto F. Seismic-while-drilling by using tunnel boring machine noise[J]. Geophysics. 2002;67(6):1798–809.

    Article  Google Scholar 

  39. Poletto F, Malusa M, Miranda F, et al. Seismic-while-drilling by using dual sensors in drill strings [J]. Geophysics. 2004;69(5):1261–71.

    Article  Google Scholar 

  40. Masak PC, Malone DL. Inverse vertical seismic profiling using a measurement while drilling tool as a seismic source: U.S. Patent 6,094,401[P]. 2000-7-25.

    Google Scholar 

  41. Zhihong B, Ganneng R, Le C. Logging while drilling technology[J]. Fault Block Oil Gas Field. 2001;08(4):22–4.

    Google Scholar 

  42. Xinyi Z, Yanjun G, Jingnong W. Yesterday, today and tomorrow of logging while drilling[J]. Logging Technol. 2006;30(6):487–92.

    Google Scholar 

  43. Neff JM, Camwell PL. Field test results of an acoustic telemetry MWD system, SPE/IADC drilling conference, 20–22 February, Amsterdam,2007.

    Google Scholar 

  44. Reeves ME, Camwell PL, Mcrory J. High speed acoustic telemetry network enables real-time along string measurements, greatly reducing drilling risk[C]. Offshore Europe, 6–8 September, Aberdeen, 2011.

    Google Scholar 

  45. Reeves M, Smith DG, Groves D, et al. Unique acoustic telemetry network with distributed pressure measurement nodes enables accurate real-time analysis of sweep effectiveness[C]. SPE Annual Technical Conference and Exhibition, New Orleans, 2013.

    Google Scholar 

  46. 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 

  47. Qilong X, Leung H, Ruihe W, Baolin L, Leilei H, Shenglai G. The chaotic dynamics of drilling. Nonlinear Dyn. 2016;83(3):2003–18.

    Google Scholar 

  48. Xue Q, Leung H, Huang L, Zhang R, Liu B, Wang J, Li L. Modeling of torsional oscillation of drillstring dynamics. Nonlinear Dyn. 2019;96(1):267–83.

    Article  Google Scholar 

  49. Rassenfoss S. Drilling change requires changing drillers. JPT. 2019., https://www.spe.org/en/jpt/jpt-article-detail/?art=5861;71:30–7.

    Article  Google Scholar 

  50. Bertocco R, Padmanabhan V. Big data analytics in oil &gas[J]. Bain Brief, 2014.

    Google Scholar 

  51. https://www.cannonoperating.com/news/oil-companies-using-data-algorithms-improved-drilling/

  52. https://www.isolutions.com/drilling-optimization-project-using-data-analytics/

  53. Feblowitz J. The big Deal about big data in upstream oil and gas, paper & presentation, IDC energy insights, 2012.

    Google Scholar 

  54. Nicholson R. Big data in the oil & gas Industry, IDC energy insights, September 2012 Seshadri M., 2013, Big data science challenging the oil industry, CTO Global Services, EMC Corporation, March 2013.

    Google Scholar 

  55. Drilling optimization through advanced analytics using historical and real-time data. https://www.sas.com/en_id/whitepapers/drilling-optimization-through-advanced-analytics-106635.html.

  56. Rommetveit R, Bjorkevoll KS, Fjar E, et al. e-Drilling: a system for real-time drilling simulation, 3D visualization and control[C]//digital energy conference and exhibition. Society of Petroleum Engineers, 2007.

    Google Scholar 

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Authors and Affiliations

  1. China University of Geosciences, Beijing, China

    Qilong Xue

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  1. Qilong Xue
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Xue, Q. (2020). Application of Data Processing in Drilling Engineering: A Review. In: Data Analytics for Drilling Engineering. Information Fusion and Data Science. Springer, Cham. https://doi.org/10.1007/978-3-030-34035-3_1

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  • DOI: https://doi.org/10.1007/978-3-030-34035-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34034-6

  • Online ISBN: 978-3-030-34035-3

  • eBook Packages: EngineeringEngineering (R0)

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