Document Type : Research Paper


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

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

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


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.


  • A simple algorithm, which needs a fewer number of calculations, was proposed for extracting a warped signal from the warping curve and an original synthetic trace.
  • Synthetic seismograms could be created by performing basic calculations on travel-time functions.
  • A Ricker wavelet was estimated and then convolved with reflection series to obtain an initial synthetic signal.
  • The employed method is more powerful in comparison to other strategies for seismic to well tying.


Main Subjects

Aach, J. and Church, G., Aligning Gene Expression Time Series with Time Warping Algorithms, Bioinformatics, Vol.17, p. 495–508, 2001.
Anderson, K. R. and Gaby, J. E., Dynamic Waveform Matching: Information Sciences, Vol.31, p. 221–242, 1983.
Berndt, D. and Clifford, J., Using Dynamic Time Warping to Find Patterns in Time Series, AAAI Workshop on Knowledge Discovery in Databases, p. 229–248, 1994.
Caiani, E. G., Porta, A., Baselli, G., Turiel, M., Muzzupappa, S., Pieruzzi, F., Crema, C., Malliani, A. and Cerutti, S., Warped-average Template Technique to Track on a Cycle-Bycycle Basis the Cardiac Filling Phases on Left Ventricular Volume. IEEE Computers in Cardiology, p. 73–7, 1998.
Cui, T., and Margrave, G., Drift Time Estimation by Dynamic Time Warping, SEG Technical Program Expanded Abstracts,p. 757–761, 2015.
Hale, D., Dynamic Warping of Seismic Images: Geophysics, Vol.78, No.2, 2013.
Herrera, R. H. and Van der Baan, M., Guided Seismic to Well Tying Based on Dynamic Time Warping: 82nd Annual International Meeting, SEG, Expanded Abstracts, 2012.
Herrera, R. H. and Van der Baan, M., A Semiautomatic Method to Tie Well Logs to Seismic Data: Geophysics, Vol.79, 2014.
Herrera, R. H., Fomel, S. and Van der Baan, M., Automatic Approaches for Seismic to Well Tying, Interpretation, Vol.2, No.2, 2014.
Keogh, E., Exact Indexing of Dynamic Time Warping. In 28th International Conference on Very Large Data Bases Hong Kong, p. 406–417, 2002.
Newrick, R., Well ties basics-well Tie Perfection, in M. Hall, and E. Bianco, eds., Fifty-two Things you Should know about Geophysics: Vol. 10, Agile Libre, p.104–107, 2012.
White, R. E., Partial Coherence Matching of Synthetic Seismograms with Seismic Traces, Geophysical Prospecting, Vol.28, p.333–358, 1980.
White, R. E., and Simm, R., Tutorial: Good Practice in Well Ties: First Break, Vol.21, p.75–83, 2003.
Wong, T. S. F. and Wong, M. H., Efficient Subsequence Matching for Sequences Databases Under Time Warping, IDEAS, Vol.03, p. 139–148, 2003.
Zhu, Y. and Shasha, D., Warping Indexes with Envelope Transforms for Query by Humming, SIGMOD, p. 181–192, 2003.