2013, 32(2) 372-378 DOI:     ISSN: 1004-5589 CN: 22-1111/P

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Keywords
logging curve
wavelet inversion
morlet wavelet
sequence stratigraphy
Authors
ZHAO Han-Qing-1
LIU Zhao-Jun-1
2
YAO Shu-Qing-3
LIU Rong-1
2
SUN Ping-Chang-1
JIA Jian-Liang-1
HU Xiao-Feng-1
PubMed
Article by Zhao, H. Q. 1
Article by Liu, Z. J. 1
Article by 2
Article by Yao, S. Q. 3
Article by Liu, R. 1
Article by 2
Article by Sun, P. C. 1
Article by Jia, J. L. 1
Article by Hu, X. F. 1

Quantitative division of sequence stratigraphic units based on wavelet inversion of logging curve

ZHAO Han-Qing-1, LIU Zhao-Jun-1, 2, YAO Shu-Qing-3, LIU Rong-1, 2, SUN Ping-Chang-1, JIA Jian-Liang-1, HU Xiao-Feng-1

1�� College of Earth Sciences��Jilin University��Changchun 130061��China; 2�� Jilin Province Key Laboratory of Oil Shale and Symbiotic Mineral��Changchun 130061��China; 3�� Geological Science Research Institute of Shengli Oilfield��SinoPEC��Dongying 257015��Shandong��China

Abstract��

The sedimentary strata are obvious in cyclicity in the basin��which can be used to distinguish the sequence stratigraphy��responsing to different characters of the logging date�� In order to avoid the subjectivity of division of strata in a visual level��and make the division of sequence stratigraphic units more scientificly��we use the wavelet transform technique to expand 1-D level logging curves to 2-D time-frequency domain��which would show the sedimentary cycles clearly in different times or depth scales�� Based on the logging date of the Meihe Basin��by taking the value rang 0. 25 to 0. 5 amax ��the third to fifth scale sequence sedimentary units have distinctive characteristics in wavelet time-frequency power imaging�� In the wavelet power imaging��the high power site with the characteristics of power reduced upwardly and downwardly��which helps to define the third sequence boundary�� In thethird sequence��from the bottom to the top��the features of power imaging is changed from large scale to small scale then to the stability and finally��to the reversal of large scale��and this four states correspond to the system tracts vertical evolution of LST��TST��HST and RST�� The smaller power imaging could also be recognized as a parasequence�� The model of sequence stratigraphic division based on the wavelet transform technique offers a new method for identifying sequence��

Keywords�� logging curve   wavelet inversion   morlet wavelet   sequence stratigraphy  
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