A DTW distance-based seismic waveform clustering method for layers of varying thickness
| العنوان: | A DTW distance-based seismic waveform clustering method for layers of varying thickness |
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| المؤلفون: | Guangmin Hu, Zhong Hong, Gai Gao, Mingjun Su, Kunhong Li, Jun Yang, Bin Hao |
| المصدر: | Applied Geophysics. 17:171-181 |
| بيانات النشر: | Springer Science and Business Media LLC, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Dynamic time warping, 010504 meteorology & atmospheric sciences, Synthetic seismogram, Computational complexity theory, Computer science, Centroid, 010502 geochemistry & geophysics, 01 natural sciences, ComputingMethodologies_PATTERNRECOGNITION, Geophysics, Reservoir modeling, Waveform, Cluster analysis, Algorithm, Seismogram, 0105 earth and related environmental sciences |
| الوصف: | Seismic waveform clustering is a useful technique for lithologic identification and reservoir characterization. The current seismic waveform clustering algorithms are predominantly based on a fixed time window, which is applicable for layers of stable thickness. When a layer exhibits variable thickness in the seismic response, a fixed time window cannot provide comprehensive geologic information for the target interval. Therefore, we propose a novel approach for a waveform clustering workflow based on a variable time window to enable broader applications. The dynamic time warping (DTW) distance is first introduced to effectively measure the similarities between seismic waveforms with various lengths. We develop a DTW distance-based clustering algorithm to extract centroids, and we then determine the class of all seismic traces according to the DTW distances from centroids. To greatly reduce the computational complexity in seismic data application, we propose a superpixel-based seismic data thinning approach. We further propose an integrated workflow that can be applied to practical seismic data by incorporating the DTW distance-based clustering and seismic data thinning algorithms. We evaluated the performance by applying the proposed workflow to synthetic seismograms and seismic survey data. Compared with the the traditional waveform clustering method, the synthetic seismogram results demonstrate the enhanced capability of the proposed workflow to detect boundaries of different lithologies or lithologic associations with variable thickness. Results from a practical application show that the planar map of seismic waveform clustering obtained by the proposed workflow correlates well with the geological characteristics of wells in terms of reservoir thickness. |
| تدمد: | 1993-0658 1672-7975 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::e6e16d0d1bf01e25ced3097fc1217743 https://doi.org/10.1007/s11770-020-0819-5 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........e6e16d0d1bf01e25ced3097fc1217743 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 19930658 16727975 |
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