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Abstract

Summary

A significant enhancement for structural framework analysis of 3-D seismic data is introduced to detect faults & fractures at higher spatial resolution than previously possible through application of a dynamic time-warping (DTW) algorithm. DTW allows for better detection of structural edges (seismic volume discontinuities), because it capitalizes on the detailed comparison of two seismic traces by dynamically finding a path along a cross sample distance matrix to obtain a best match, i.e., the algorithm adjusts cross sample correlation by providing a new, warped time shift function whereby the algorithm is constrained to proceed (1) without creating gaps, (2) with all elements remaining adjacent, and, (3) sample indices monotonously increasing. The new discontinuity analysis algorithm is tested on an unconventional dataset from Eastern Ciscaucasia (Russia). Two different fault/fracture detection algorithms are compared: one of them represents the DTW method, the other involves a widely-used Variance attribute. For benchmarking purposes, both computed attribute cubes serve as an input for subsequent ANT-Tracking to delineate fault and fracture trends. The case study unequivocally demonstrates that better spatial resolution is obtained with application of the DTW method.

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/content/papers/10.3997/2214-4609.201901171
2019-06-03
2024-04-26

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New High-Resolution Fault Detection Based on Dynamic Time Warping Discontinuity Edge Attribute
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201901171
/content/papers/10.3997/2214-4609.201901171
/content/papers/10.3997/2214-4609.201901171
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