摘要
提高地震资料的分辨率是获得高分辨率地震剖面的基础,常规的处理方法对于提高地震资料分辨率虽有一定的效果,但却十分有限,难以达到资料解释的要求.对此本文将广义S变换理论与压缩感知理论相结合,提出了一种新的叠后地震资料处理方法.实现步骤为:将叠后地震数据进行广义S变换;利用压缩感知理论构建L_(1/2)范数最优化模型;半阈值迭代法求得最优稀疏解得到更精确的时频域信息;能量重新分配补偿时频域弱信号能量;广义S反变换得到处理后的地震信号.理论模型和实际资料处理表明,与常规广义S变换提高分辨率处理相比,本文方法处理结果具有更好的效果,地震资料分辨率有了明显提高.
Improving the resolution of seismic data is the basis of getting high resolution profiles. Conventional processing methods can improve the resolution of seismic data, but the results were very limited, and they fail to come up to the required standard. In this paper, a new post-stack seismic data processing method is proposed to solve the problem by combining the generalized S transform theory with the compressed sensing theory. The detailed procedures: The seismic data is transformed into time-frequency domain by generalized S transform;The L;norm optimization model is constructed by compressed sensing theory;The half-threshold iterative method is used to obtain the optimal sparse solution so as to obtain more accurate time-frequency information;The energy is redistributed to compensate for the weak signal energy in the time-frequency domain;The processed seismic data is obtained by generalized inverse S transform. The theoretical model and practical data show that compared with the general generalized S transform, the results obtained by proposed method are better and the resolution of seismic data has been significantly improved.
作者
杨子鹏
宋维琪
刘军
赵宝银
胡建林
YANG ZiPeng;SONG WeiQi;LIU Jun;ZHAO BaoYin;HU JianLin(School of Geosciences,China University of Petroleum(East China),Qingdao 266580,China;Research Institute of Petroleum Exploration and Production,Northwest Oilfield Company,SINOPEC,rümqi 830011,China;Geophysical Research Institute of Jidong Petroleum Branch,CNPC,Tangshan 063004,China)
出处
《地球物理学进展》
CSCD
北大核心
2021年第5期2119-2127,共9页
Progress in Geophysics
基金
国家级项目“塔里木盆地碳酸盐岩断裂检测技术方法测试及应用”(KY2018-S-012)和“微地震监测处理/裂缝解释方法研究”(2016ZX05023004-002-003)(JDYT-2017-JS-184)联合资助。
关键词
提高分辨率
压缩感知
广义S变换
能量重新分配
Resolution improvement
Compressed sensing
Generalized S transform
Energy redistribution
