1887

Abstract

Summary

Tying well logs to seismic data is a highly subjective task that relies on the interpreter’s experience and the similarity metric used. Automated alternatives could help reduce this degree of subjectivity by making the tie reproducible. In this paper we compare two automated techniques: the dynamic time warping method and the local similarity attribute based on regularized shaping filters. These two methods produce superior tying in a guided stretching and squeezing framework. Results using a real well log example validate both approaches. Automated seismic-to-well tie algorithms can greatly aid in seismic interpretation. It is important to emphasize however that they are based on goodness-of-fit criteria and do not measure correctness of a fit. Best practices in well-tying have to be followed for their results to be meaningful.

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/content/papers/10.3997/2214-4609.20140696
2014-06-16
2024-04-28
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