1887
Volume 69, Issue 7
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Downhole near‐bit vibration sensors are used to record the pilot signal for seismic while drilling and identify drilling dysfunctions for drilling optimization. The typical downhole sensor is a memory‐based device with an inexpensive internal clock of limited accuracy that is not synchronized to surface data. Integrating downhole vibrations with other time‐based data such as surface drilling parameters or seismic recordings requires accurate time alignment between all data sets. We present a novel automated two‐step alignment procedure that uses a Global Positioning System‐synchronized top‐drive vibration sensor as a reference. The accuracy of the new method satisfies the most demanding requirements of seismic while drilling. The first step finds the delay time and linear drift using global optimization. The second step estimates nonlinear drift using time‐variant cross‐correlation. Alignment precision of a few seconds after the first step becomes a few milliseconds after the second step, as demanded by seismic‐while‐drilling. The field data example shows that the proposed methodology successfully aligns top‐drive and downhole data using a fully unsynchronized near‐bit vibration data set. After alignment, the near‐bit sensor delivers a usable pilot for seismic‐while‐drilling processing, resulting in better quality correlated seismic data than those obtained with the top‐drive surface pilot.

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/content/journals/10.1111/1365-2478.13119
2021-08-09
2024-04-23
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References

  1. Bakulin, A., Hemyari, E. and Silvestrov, I. (2019) Acquisition trial of DrillCAM: Real‐time seismic with wireless geophones, instrumented top drive and near‐bit accelerometer. 89th Annual International Meeting, SEG, Expanded Abstracts, 157–161. https://doi.org/10.1190/segam2019‐3214516.1
  2. Glubokovskikh, S., Bakulin, A., Smith, R. and Silvestrov, I. (2020) Machine learning algorithms for real‐time prediction of the sonic logs based on drilling parameters and downhole accelerometers. 90th Annual International Meeting, SEG, Expanded Abstracts, 405–409. https://doi.org/10.1190/segam2020‐3427085.1
  3. Jones, S. and Sugiura, J. (2020) Analysis of surface and downhole drilling dynamics high‐frequency measurements enhances the prediction of downhole drilling dysfunctions and improves drilling efficiency. Abu Dhabi International Petroleum Exhibition & Conference, SPE‐202859‐MS. https://doi.org/10.2118/202859‐MS
  4. Myers, G., Goldberg, D. and Rector, J. (2002) Drill string vibration: a proxy for identifying lithologic boundaries while drilling. In: Casey,J.F. and Miller,D.J. (eds)Proceedings of the Ocean Drilling Program, Scientific Results, Vol. 179. Ocean Drilling Program, pp. 1–17.
    [Google Scholar]
  5. Naville, C., Serbutoviez, S., Throo, A., Vincké, O. and Cecconi, F. (2004) Seismic while drilling (SWD) techniques with downhole measurements, introduced by IFP and its partners in 1990–2000. Oil & Gas Science and Technology, 59(4), 371–403. https://doi.org/10.2516/ogst:2004027
    [Google Scholar]
  6. Poletto, F. and Miranda, F. (2004) Seismic While Drilling: Fundamentals of Drill‐Bit Seismic for Exploration. Elsevier.
    [Google Scholar]
  7. Poletto, F., Miranda, F., Corubolo, P., Schleifer, A. and Comelli, P. (2014) Drill‐bit seismic monitoring while drilling by downhole wired‐pipe telemetry. Geophysical Prospecting, 62, 702–718. https://doi.org/10.1111/1365‐2478.12135
    [Google Scholar]
  8. Vieitez, C. and Cox, M. (2017) Walkaway seismic‐while‐drilling operation delineates salt dome. Offshore, 77(7). https://www.offshore‐mag.com/production/article/16755923/walkaway‐seismicwhiledrilling‐operation‐delineates‐salt‐dome
    [Google Scholar]
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  • Article Type: Research Article
Keyword(s): Borehole geophysics; Data processing; Seismic while drilling

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