Classification strategies of electrical characterization based on k-means clustering: Applying controlled-source audio-frequency magnetotellurics for goaf detection-Reference-Cited by-同舟云学术

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Classification strategies of electrical characterization based on k-means clustering: Applying controlled-source audio-frequency magnetotellurics for goaf detection

Published:2020-09-30 Issue: Volume: Page:
ISSN:
Container-title:SEG Technical Program Expanded Abstracts 2020
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Author:

Zhang Kai¹,Lin Niantian¹,Nie Xikun²,Zhang Chong¹,Wang Xiaodong³,Tian Gaopeng¹,Yang Jiuqiang¹

Affiliation:

1. Shandong University of Science and Technology

2. Institute of Geological and Mineral Survey

3. Shanghai Shenfeng Institute of Novel Geological Techniques Co., Ltd.

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/segam2020-3407930.1

Reference5 articles.

1. Lithology discrimination from physical rock properties

2. Data clustering: 50 years beyond K-means

3. Reservoir characterisation method with multi-component seismic data by unsupervised learning and colour feature blending

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