dc.contributor.author |
Huang, Yaping
|
|
dc.contributor.author |
Di, Haibin
|
|
dc.contributor.author |
Malekian, Reza
|
|
dc.contributor.author |
Di, Xuemei
|
|
dc.contributor.author |
Li, Zhixiong
|
|
dc.date.accessioned |
2018-03-12T09:07:08Z |
|
dc.date.available |
2018-03-12T09:07:08Z |
|
dc.date.issued |
2017-10-19 |
|
dc.description.abstract |
Hilbert–Huang transform (HHT) is a popular method to analyze nonlinear and
non-stationary data. It has been widely used in geophysical prospecting. This paper analyzes
the mode mixing problems of empirical mode decomposition (EMD) and introduces the noncontact
measurement and detection of instantaneous seismic attributes using complementary ensemble
empirical mode decomposition (CEEMD). Numerical simulation testing indicates that the CEEMD
can effectively solve the mode mixing problems of EMD and can provide stronger anti-noise ability.
The decomposed results of the synthetic seismic record show that CEEMD has a better ability to
decompose seismic signals. Then, CEEMD is applied to extract instantaneous seismic attributes of 3D
seismic data in a real-world coal mine in Inner Mongolia, China. The detection results demonstrate
that instantaneous seismic attributes extracted by CEEMD are helpful to effectively identify the
undulations of the top interfaces of limestone. |
en_ZA |
dc.description.department |
Electrical, Electronic and Computer Engineering |
en_ZA |
dc.description.librarian |
am2018 |
en_ZA |
dc.description.sponsorship |
The National Natural Science
Foundation of China (Grant No. 41704104), the Natural Science Foundation of Jiangsu Province (Grant No.
BK20130201), the Chinese Postdoctoral Science Foundation (Grant No. 2014M551703), the Fundamental
Research Funds for the Central Universities (Grant No. 2012QNA62), |
en_ZA |
dc.description.uri |
http://www.mdpi.com/journal/energies |
en_ZA |
dc.identifier.citation |
Huang, Y.P., Di, H.B., Malekian, R. et al. 2017, 'Noncontact measurement and detection of instantaneous seismic attributes based on complementary ensemble empirical mode decomposition', Energies, vol. 10, no. 1655, pp. 1-15. |
en_ZA |
dc.identifier.issn |
1996-1073 (online) |
|
dc.identifier.other |
10.3390/en10101655 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/64203 |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
MDPI Publishing |
en_ZA |
dc.rights |
© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license, |
en_ZA |
dc.subject |
Seismic energy |
en_ZA |
dc.subject |
Instantaneous seismic attributes |
en_ZA |
dc.subject |
Trace analysis |
en_ZA |
dc.subject |
Hilbert–Huang transform (HHT) |
en_ZA |
dc.subject |
Empirical mode decomposition (EMD) |
en_ZA |
dc.subject |
Frequency |
en_ZA |
dc.subject |
Spectrum |
en_ZA |
dc.subject |
Complementary ensemble empirical mode decomposition (CEEMD) |
en_ZA |
dc.title |
Noncontact measurement and detection of instantaneous seismic attributes based on complementary ensemble empirical mode decomposition |
en_ZA |
dc.type |
Article |
en_ZA |