Simplified Automatic Seismic to Well Tying Using Smooth Dynamic Time Warping Technique in R

سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 248

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شناسه ملی سند علمی:

JR_IJOGST-9-4_005

تاریخ نمایه سازی: 2 شهریور 1400

چکیده مقاله:

Seismic well tying is a crucial part of the interpretation phase in exploration seismology. Tying wells usually involves forward modeling a synthetic seismogram from sonic and density logs and then matching the obtained synthetic seismogram to the seismic reflection data. A huge amount of time is required to deal with it, yet the outcome signal may not be satisfying and may be suffering a low cross correlation between the seismic signal and the synthetic one; it also requires a high quality synthetic trace. Another problem with the so-called manual tying is that the tying process is not repeatable, indicating that one can rarely obtain the same stretched and squeezed signal if the tying procedure is repeated. In recent years, some researchers have used the dynamic time warping (DTW) method to address well tying problems. They have obtained good results according to the correlation between the seismic signal and the warped synthetic signal. This research demonstrates that the result will be better if filtering is applied before tying, and then the warped signal is smoothed. We also propose a simpler algorithm for extracting a warped signal from the warping curve and the original synthetic trace, which gives rise to better performance for well tying.

نویسندگان

Afshin Amiri

M.S. Student, Institute of Geophysics, University of Tehran, Tehran, Iran

Majid Bagheri

Associate Professor, Institute of Geophysics, University of Tehran, Tehran, Iran

Mohammad Ali Riahi

Professor, Institute of Geophysics, University of Tehran, Tehran, Iran

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  • Aach, J. and Church, G., Aligning Gene Expression Time Series ...
  • Anderson, K. R. and Gaby, J. E., Dynamic Waveform Matching: ...
  • Berndt, D. and Clifford, J., Using Dynamic Time Warping to ...
  • Caiani, E. G., Porta, A., Baselli, G., Turiel, M., Muzzupappa, ...
  • Cui, T., and Margrave, G., Drift Time Estimation by Dynamic ...
  • Hale, D., Dynamic Warping of Seismic Images: Geophysics, Vol.۷۸, No.۲, ...
  • Herrera, R. H. and Van der Baan, M., Guided Seismic ...
  • Herrera, R. H. and Van der Baan, M., A Semiautomatic ...
  • Herrera, R. H., Fomel, S. and Van der Baan, M., ...
  • Keogh, E., Exact Indexing of Dynamic Time Warping. In ۲۸th ...
  • Newrick, R., Well ties basics-well Tie Perfection, in M. Hall, ...
  • White, R. E., Partial Coherence Matching of Synthetic Seismograms with ...
  • White, R. E., and Simm, R., Tutorial: Good Practice in ...
  • Wong, T. S. F. and Wong, M. H., Efficient Subsequence ...
  • Zhu, Y. and Shasha, D., Warping Indexes with Envelope Transforms ...
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