Advertisement

Signal Processing in Logging While Drilling

Chapter
  • 371 Downloads
Part of the Information Fusion and Data Science book series (IFDS)

Abstract

Logging while drilling (LWD) technology can be roughly divided into three generations. Correlation with construction and formation evaluation; logging while drilling ensures that the logging data required to determine capacity and economy and reduce drilling risks can be collected. The target location is found in conjunction with wellbore imaging, formation dip and density data. These advances have led to high success rates for drilling of many types of wells, especially high-angle, super-long and horizontal wells. So far, serialized and complete sets of logging while drilling equipment have been developed, including electric logging while drilling, sonic logging while drilling, nuclear logging while drilling, formation pressure logging while drilling, NMR logging while drilling and seismic logging while drilling, etc.

Keywords

Logging while drilling (LWD) Wellbore imaging Electric logging Sonic logging Nuclear logging 

References

  1. 1.
    Zhihong B, Ganneng R, Le C. Logging while drilling technology[J]. Fault Block Oil Gas Field. 2001;08(4):22–4.Google Scholar
  2. 2.
    Xinyi Z, Yanjun G, Jingnong W. Yesterday, today and tomorrow of logging while drilling[J]. Logging Technol. 2006;30(6):487–92.Google Scholar
  3. 3.
    Xinping L, Jun F, Youhai J. Application status and prospect of data transmission technology while logging[J]. Logging Technol. 2008;32(3):249–53.Google Scholar
  4. 4.
    Xuanchao L, Shaozhen Z. Research on intelligent drill string information and power transmission system[J]. Pet Drill Tech. 2006;34(5)Google Scholar
  5. 5.
    Shihong X, Zheng L. Development status and prospect of rotary steering drilling technology[J]. Pet Mach. 2006;34(4):66–70.Google Scholar
  6. 6.
    Yang X, Wei J, Binwei Z. New technology of data transmission while drilling[J]. Pet Instrum. 2004;18(6):26–7.Google Scholar
  7. 7.
    Yong DU, Jian-bin HU, Yan-ping LI, et al. Application of acoustic transmission test Technology in Oilfield[J]. Meas Control Technol. 2005;24(11):76–8.Google Scholar
  8. 8.
    Linlin N, Xiaobing Z, Hailong L, et al. Current status and prospects of logging while drilling[J]. Foreign Well Logging Technol. 2008;7–12(6)Google Scholar
  9. 9.
    Rodney PF, Wisler MMM. Electromagnetic wave resistivity MWD tool[J]. SPE Drill Eng. 1986;1(05):337–46.CrossRefGoogle Scholar
  10. 10.
    Meyer WH. Inversion of 2 Mhz propagation resistivity logs[J]. J Nutr. 1992;125(2):155–60.MathSciNetGoogle Scholar
  11. 11.
    Yonghao D, Zhoubo L, Hongyu M. Development of logging while drilling technology[J]. World Geol. 2004;23(3)Google Scholar
  12. 12.
    Haibo W. Research on structure and principle of EWR_P4 type resistivity resistor sensor[J]. W Prospect Eng. 2011;23(7):67–9.Google Scholar
  13. 13.
    Xuying Q, Lizhi X, Yufeng S. Recent developments and applications of logging while drilling technology[J]. Progress Explor Geophys. 2003;26(4):313–22.Google Scholar
  14. 14.
    Xinyi Z, Jingnong W, Yanjun G. Progress and development trend of logging while drilling technology[J]. Logging Technol. 2006;30(1):10–5.Google Scholar
  15. 15.
    Nan L, Jingmeng W, Wuchen Y. Technical performance and application examples of the latest LWD logging tool[J]. Pet Drill Techniques. 2006;34(4)Google Scholar
  16. 16.
    Wenbin Y, Hui L, Jie S, etc. Development of natural gamma logging tool while drilling [J]. Electron Meas Technol, 2013 (36): 42–45.Google Scholar
  17. 17.
    Liyang S, Zaixing W, Xiao Q. Influencing factors and correction methods of natural gamma logging while drilling [J]. Tech Res. 2016;(1):97.Google Scholar
  18. 18.
    Qinglong S. Three-dimensional numerical simulation of new natural gamma log response and data synthesis and high resolution processing technology [D]. Jilin University, 2013.Google Scholar
  19. 19.
    Michel F, Parker T, Rennie A, et al. A new logging-while-drilling Azimuthal density sensor for large borehole applications——Gulf of Mexico Case Studies[R].OTC-29052-MS, 2018.Google Scholar
  20. 20.
    Lei W, Jingjing C, Li K, etc. Nuclear magnetic resonance logging instrument pulse scale design [J]. Instrument Technol Sensors, 2011 (7): 21–23.Google Scholar
  21. 21.
    Zhixing X. Research on key technologies of NMR logging while drilling [D]. Huazhong University Science and Technology, 2013.Google Scholar
  22. 22.
    Yu Huiyuan, Song Gongpu, Cai Chiyuan and so on. Introduction to nuclear magnetic resonance logging instruments [J]. Pet Instrum, 2012: 44–49.Google Scholar
  23. 23.
    Donovan GG, Ugueto GC, Pellerin NN. Wireline and LWD NMR Applications in Undersaturated Oil Sands in Deepwater Us Gulf of Mexico[R].SPWLA, 2001.Google Scholar
  24. 24.
    Heaton NJ, Jain V, Boling B, et al. New generation magnetic resonance While drilling [R].SPE,2012.Google Scholar
  25. 25.
    Akkurt R, Kersey DG, Zainalabedin K et al. Challenge for everyday NMR: an operator perspective[R].SPE,2006.Google Scholar
  26. 26.
    Enlong F, Le P, Jun C, etc. The application of the NMR logging tool magtrak in bohai oilfield [J]. Sci Manag, 2018: 333–334.Google Scholar
  27. 27.
    Coman R, Thern et al. Lateral-motion correction of NMR logging-While-drilling data [R].SPE, 2018.Google Scholar
  28. 28.
    Hongxiang S, Hui L, Duoming Z, etc. Seismic-steering drilling technology based on seismic logging while drilling—Taking the fracture-cavity reservoir in the Harahatang block of Tarim Oilfield as an example [J]. 2016 (43): 662–668.Google Scholar
  29. 29.
    Dotiwala F, Kumar R, Lim TK et al. Reducing target uncertainties and guided drilling using seismic while drilling technology, a novel approach in Andaman Sea deep water[R].SPE165834-MS, 2013.Google Scholar
  30. 30.
    Xiaohui Z, Guiqiao S, Weihua Z, Yao N, Jiexiong C. Earthquake technology while drilling and its new development[J]. Geophys Prospect Pet. 2016;55(06):913–23.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.China University of GeosciencesBeijingChina

Personalised recommendations