DocumentCode
2119262
Title
Potential Field Separation Based on the Empirical Mode Decomposition and its Application
Author
Zeng Qinqin ; Liu Tianyou
Author_Institution
Inst. of Geophys. & Geomatics, China Univ. of Geosci., Wuhan, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
4
Abstract
The empirical mode decomposition (EMD) proposed by Norden E Huang is a kind of spatial and temporal filtering process in terms of the signal extremum characteristic scales. The decomposed component contains different bands of frequencies from high to low, and the residual value is the signal trend component representing the signal averaged trend, that is similar to the region anomalies in the geophysical field. Based on this theory, using the EMD to separate the geophysical potential field was proposed in this article. Compared to the conventional methods of moving average and trend analysis, the EMD method is with less artifical influence, and we needn´t set any parameters beforehand. Otherwise, it reflects the potential field intrinsic physical characteristics better. With the EMD, we got satisfactory results in magnetic data processing for igneous rocks exploration related to oil and gas reservoirs of Carboniferous system in certain area of Junggar Basin.
Keywords
filtering theory; geophysical signal processing; moving average processes; carboniferous system; empirical mode decomposition; field separation; moving average; signal extremum characteristic scales; signal trend component; spatial and temporal filtering process; trend analysis; Filtering; Frequency; Geology; Geophysics; Hydrocarbon reservoirs; Laboratories; Magnetic analysis; Petroleum; Signal processing; Steady-state;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5302769
Filename
5302769
Link To Document