DocumentCode :
535477
Title :
The application of logging data for the intelligent identification of sequence stratigraphic units
Author :
Zhang, Yuanfu ; Jiang, Zaixing ; Xu, Jie ; Li, Hongqi
Author_Institution :
Coll. of Energy, China Univ. of Geosci., Beijing, China
Volume :
8
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
3715
Lastpage :
3720
Abstract :
Sequence stratigraphy is an important theory in the field of earth sciences which can analyze the stratigraphy and sedimentary. But how to divide sequence stratigraphic units quantitatively is always a challenge and frontier in this domain. Based on the depth domain and frequency domain of logging data and former experts´ study, and by the guidance of the classic sequence stratigraphy, this article has designed an intelligent identification method to divide sequence stratigraphic units. Based on the research of the accumulative parameter of sand clay ratio, the separate frequency scanning of depth domain, the full frequency scanning method and dominant frequency analyzing method, the software which can intelligently identify the sequence stratigraphic units is created. And this software has well applied in the analysis of real data.
Keywords :
data loggers; frequency-domain analysis; geophysical signal processing; geophysical techniques; sand; sediments; soil; stratigraphy; data logging; dominant frequency analyzing method; full frequency scanning method; intelligent identification method; sand clay ratio; sedimentary; sequence stratigraphic units; stratigraphy; Band pass filters; Frequency conversion; Geology; Image color analysis; Software; Time frequency analysis; Sequence stratigraphy; automatically identify; domaint frequency analysis; spectrum analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5648204
Filename :
5648204
Link To Document :
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