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| Depth-domain wavelet estimation using the subspace-constrained Huber norm |
| ZHANG Jie1,2, CHEN Xuehua1,2, JIANG Wei1,2, DAN Zhiwei3, XIAO Wei3 |
1. State Key Laboratory of Oil & Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, Sichuan 610059, China;
2. Key Laboratory of Earth Exploration and Information Technology of Ministry of Education, Chengdu University of Technology, Chengdu, Sichuan 610059, China;
3. Data Processing Company, Geophysical Branch, China Oilfield Services Limited, CNOOC, Zhanjiang, Guangdong 524057, China |
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Abstract Generally,in the constant-velocity depth domain,only a few hundred meters of logging information is available,and is equivalent to 2~5 times the length of a constant depth-domain seismic wavelet.It is difficult to estimate a reliable seismic wavelet from such a short data segment.To address this issue,we proposed a method for estimating the constant-velocity depth-domain wavelet using the subspace-constrained Huber norm.The corresponding procedure can be divided into three steps.First,the reflectivity and the seismic trace near the well location are transformed from the real depth domain to the constant-velocity depth domain.Next,set a threshold and generate the initial synthetic seismogram by convoluting the constant-velocity depth-domain reflectivity and the initial seismic wavelet.Finally,the seismic wavelet is updated by iterative least square method according to the residual error of the synthetic seismogram and the seismic trace until the iteration termination condition is reached.We compare the proposed method and the conventional least square-based methods through the synthetic and field seismic data.The results show that the high performance of our method for estimating the reliable wavelet from limited seismic and well-log data segment.The proposed method can be further extended to estiamte the depth-variant seismic wavelets.
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Received: 30 December 2019
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2020, Vol. 55 
