TY - JOUR
T1 - Improved gabor deconvolution by using shaping regulartizon and its application
AU - Peng, Tao
AU - Yan, Jianguo
AU - Sun, Sam Zandong
AU - Dong, Ning
N1 - Publisher Copyright:
© 2015 SEG.
PY - 2015
Y1 - 2015
N2 - Gabor deconvolution is acknowledged as an effective nonstationary deconvolution method which can simultaneously remove the source signature and attenuation effects. Under the constant Q theory, the attenuation contours track along hyperbolic trajectories in time-frequency plane, and smoothing along these trajectories would lead to more reasonable estimation on attenuation, source wavelet and reflectivity. Furthermore, division operation is necessitated to form the deconvolution operator, and pre-whitening factors are always used to enhance the division stability. However, the pre-whiting factor is so commonly used that people usually fail to investigate its hazards, which probably smear useful reflectivity information and degrade the ultimate deconvolution result. In this paper, we treat the process as an inversion problem and employ the strategy of shaping regularization to stabilize it. Moreover, the results achieved from model data and field data have demonstrated the effectiveness and robustness of improved method in precise reflectivity estimation and reasonable compensation.
AB - Gabor deconvolution is acknowledged as an effective nonstationary deconvolution method which can simultaneously remove the source signature and attenuation effects. Under the constant Q theory, the attenuation contours track along hyperbolic trajectories in time-frequency plane, and smoothing along these trajectories would lead to more reasonable estimation on attenuation, source wavelet and reflectivity. Furthermore, division operation is necessitated to form the deconvolution operator, and pre-whitening factors are always used to enhance the division stability. However, the pre-whiting factor is so commonly used that people usually fail to investigate its hazards, which probably smear useful reflectivity information and degrade the ultimate deconvolution result. In this paper, we treat the process as an inversion problem and employ the strategy of shaping regularization to stabilize it. Moreover, the results achieved from model data and field data have demonstrated the effectiveness and robustness of improved method in precise reflectivity estimation and reasonable compensation.
UR - http://www.scopus.com/inward/record.url?scp=85018961422&partnerID=8YFLogxK
U2 - 10.1190/segam2015-5916027.1
DO - 10.1190/segam2015-5916027.1
M3 - Conference article
AN - SCOPUS:85018961422
SN - 1052-3812
VL - 34
SP - 3848
EP - 3852
JO - SEG Technical Program Expanded Abstracts
JF - SEG Technical Program Expanded Abstracts
T2 - SEG New Orleans Annual Meeting, SEG 2015
Y2 - 18 October 2011 through 23 October 2011
ER -