A strong shielding removal method of reflection coefficient domain based on compressed sensing with L2 norm constraint along layer
ZHANG Junhua1,2, WANG Jing3, WANG Yanguang4, LIU Libin4, LI Hongmei4, WANG Xi'an1,2
1. School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong 266580, China; 2. Key labortory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, Shandong 266580, China; 3. Exploration and Development Research Institute, Shengli Oilfield Branch Company, SINOPEC, Dongying, Shandong 257015, China; 4. Geophysical Research Institute, Shengli Oilfield Branch Company, SINOPEC, Dongying, Shandong 257022, China
Abstract：Conventional compressed sensing methods are based on the sparse inversion of reflection coefficients to improve the resolution of seismic data. However, if the strong shielding layer information and the weak reservoir information are superimposed, the reservoir cannot be effectively predicted, because the information of the weak reflection layer will be lost when the strong shielding layer is removed. For this reason, taking advantage of the strong sparse representation ability of compressed sensing and the high resolution of the reflection coefficient domain without wavelet overlap, this paper proposes a strong shielding removal method of reflection coefficient domain based on compressed sensing with L2 norm constraint along the layer. This method is based on the theory of compressed sensing. First, according to the sparse characteristics of the reflection coefficient in the time domain, the strong shielding layer and the reservoir are separated using the information along the layer. Then the sparse inversion is performed, and finally the reflection coefficient after strong shielding removal is convolved with the original wavelet to obtain the high-resolution results in the absence of a strong shielding layer. The advantage of the method is that the high-resolution reflection coefficient can separate the information of the strong shielding layer and the reservoir, which is beneficial to extract and remove the strong shielding layer. The model tests and actual seismic data application show that the proposed method can accurately separate the reflection information of the strong shielding layer from the weak reflection information of the reservoir and thus improve the accuracy of reservoir identification. On the time-frequency slices after strong shielding layer removal, the weak energy of the reservoir can be seen, and low-frequency accompanying phenomena appear. On the energy half-time attribute slices along the layer after strong shielding removal, the attribute has a good correlation with the beach-bar sand reservoir, which can effectively identify favorable reservoir areas.
张军华, 王静, 王延光, 刘立彬, 李红梅, 王喜安. 基于压缩感知的反射系数域沿层L2范数约束去强屏蔽方法[J]. 石油地球物理勘探, 2022, 57(2): 405-413.
ZHANG Junhua, WANG Jing, WANG Yanguang, LIU Libin, LI Hongmei, WANG Xi'an. A strong shielding removal method of reflection coefficient domain based on compressed sensing with L2 norm constraint along layer. Oil Geophysical Prospecting, 2022, 57(2): 405-413.
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