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广义S变换地震高分辨率处理方法研究
引用本文:黄捍东,冯娜,王彦超,蔡燕杰.广义S变换地震高分辨率处理方法研究[J].石油地球物理勘探,2014,49(1):82-88.
作者姓名:黄捍东  冯娜  王彦超  蔡燕杰
作者单位:1. 中国石油大学(北京)提高采收率研究院, 北京 102249; 2. 中国石油大学(北京)油气资源与探测国家重点实验室, 北京 102249; 3. 中海油研究总院, 北京 100027; 4. 中国石化胜利油田分公司孤岛采油厂, 山东东营 257231
基金项目:国家重大专项(2011ZX05006-006)、(2011ZX05009);国家“973”项目(2011CB201104)联合资助
摘    要:广义S变换能根据实际地震信号的频率分布特点和时频分析的侧重点灵活地调节窗函数随频率的变化趋势,加快或减慢窗时宽随频率的变化速度,使窗函数的振幅呈现多种非线性变化特征,更好地适应具体信号的分析和处理。在广义S变换实现时引入窗函数库、弦函数库、快速傅里叶反变换,使运算简洁、易行、高效,通过选取合适的参数组合,对得到的时频谱进行能量重新分配、重构,得到高分辨率地震信号。理论模型和实际资料处理结果表明,该方法能够有效增强地震信号时域和频域的分辨率,使地震剖面的构造特征和岩性特征更为清晰。

关 键 词:时频分析  广义S变换  高分辨率处理  
收稿时间:2012-08-27

High-resolution seismic processing based on generalized S transform
Huang Hong,Feng Na,Wang Yanchao,Cai Yanjie.High-resolution seismic processing based on generalized S transform[J].Oil Geophysical Prospecting,2014,49(1):82-88.
Authors:Huang Hong  Feng Na  Wang Yanchao  Cai Yanjie
Affiliation:1. College of Enhance Oil Recovery, China University of Petroleum (Beijing), Beijing 102249, China; 2. State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China; 3. CNOOC Research Institute, Beijing 100027, China; 4. Gudao Oil Production Plant, Shengli Oilfield Branch Co., SINOPEC, Dongying, Shandong 257231, China
Abstract:Generalized S transform (GST) can flexibly adjust the change trend of the fundamental window function according to the frequency distribution characteristics and the time-frequency emphasis of seismic data. This transform can also quicken or slow the time-bandwidth change along with the frequency to make the amplitude of the fundamental window function present various nonlinear changes. This will be very helpful for adapting to signal analysis and processing. We introduce window function database, sin (cosin) function database and IFFT in the GST method, the calculation of which is simple, convenient and effective. Then we redistribute the energy of the time-frequency spectrum, and reconstruct signals to obtain the high-resolution seismic data. Test results on model and real seismic data indicate that this method can availably improve seismic signal resolution both in time and frequency domain, and make structural and the lithologic characteristics on seismic sections much clearer.
Keywords:time-frequency analysis  generalized S transform (GST)  high resolution processing  
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