Exploration Geophysics Exploration Geophysics Society
Journal of the Australian Society of Exploration Geophysicists
RESEARCH ARTICLE

Adaptive phase k-means algorithm for waveform classification

Chengyun Song 1 4 Zhining Liu 1 Yaojun Wang 2 Feng Xu 3 Xingming Li 1 Guangmin Hu 2
+ Author Affiliations
- Author Affiliations

1 School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.

2 School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.

3 School of Geoscience and Technology, Southwest Petroleum University, Chengdu, Sichuan 610500, China.

4 Corresponding author. Email: scyer123@163.com

Exploration Geophysics - https://doi.org/10.1071/EG16111
Submitted: 20 September 2016  Accepted: 1 December 2016   Published online: 4 January 2017

Abstract

Waveform classification is a powerful technique for seismic facies analysis that describes the heterogeneity and compartments within a reservoir. Horizon interpretation is a critical step in waveform classification. However, the horizon often produces inconsistent waveform phase, and thus results in an unsatisfied classification. To alleviate this problem, an adaptive phase waveform classification method called the adaptive phase k-means is introduced in this paper. Our method improves the traditional k-means algorithm using an adaptive phase distance for waveform similarity measure. The proposed distance is a measure with variable phases as it moves from sample to sample along the traces. Model traces are also updated with the best phase interference in the iterative process. Therefore, our method is robust to phase variations caused by the interpretation horizon. We tested the effectiveness of our algorithm by applying it to synthetic and real data. The satisfactory results reveal that the proposed method tolerates certain waveform phase variation and is a good tool for seismic facies analysis.

Key words: horizon interpretation, k-means, phase variation, waveform classification.


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