Absorption compensation via structure tensor regularization multichannel inversion
Liang Bing, Zhao Dong-feng*, Xia Lian-jun, Tang Guo-song, Luo Zhen, Guan Wen-hua, Wang Xue-jing
1. Jiangsu Oilfi eld Company, Sinopec, Yangzhou 225009, Jiangsu, China.
2. College of Geophysics, China University of Petroleum (Beijing), Beijing 102249, China.
3. Geophysical Prospecting Research Institute of Jiangsu Oilfi eld Company, Sinopec, Nanjing 210046, Jiangsu, China.
Abstract Absorption compensation is a process involving the exponential amplification of reflection amplitudes. This process amplifies the seismic signal and noise, thereby substantially reducing the signal-tonoise ratio of seismic data. Therefore, this paper proposes a multichannel inversion absorption compensation method based on structure tensor regularization. First, the structure tensor is utilized to extract the spatial inclination of seismic signals, and the spatial prediction filter is designed along the inclination direction. The spatial prediction filter is then introduced into the regularization condition of multichannel inversion absorption compensation, and the absorption compensation is realized under the framework of multichannel inversion theory. The spatial predictability of seismic signals is also introduced into the objective function of absorption compensation inversion. Thus, the inversion system can effectively suppress the noise amplification effect during absorption compensation and improve the recovery accuracy of high-frequency signals. Synthetic and fi eld data tests are conducted to demonstrate the accuracy and effectiveness of the proposed method.
About author: Liang Bing received a doctor’s degree from China University of Mining and Technology in 2007, and is currently the chief scientist of Jiangsu oilfield Company. He has long been engaged in research of oil and gas geophysics and reservoir prediction technology, and has won multiple provincial technological awards and major exploration discoveries in SINOPEC.
Jiang Fuyu, Ni Jiong*, Chen Hai-jun, Gao Li-kun, Chen Song, Wu Xian-wei, Su Zhi-qiang, Lei Yao, Dai Ming-hui, Han Run, and Yu Jun-kai. Resistivity tomography based on multichannel electrodes[J]. APPLIED GEOPHYSICS, 2024, 21(4): 639-649.
2025, Vol. 22 
