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基于广义S变换的独立频谱分量盲提取

Blind Extraction Technology of Independent Spectrum Component Based on Generalized s Transform

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【作者】 胥德平文晓涛文武詹泽东

【Author】 XU De-ping,WEN Xiao-tao,WEN Wu,ZHAN Ze-dong Key Laboratory of Geomathematics of Sichuan Province;College of Management Science;College of Geophysics,Chengdu University of Technology,Chengdu 610059,Sichuan,China)

【机构】 数学地质四川省重点实验室成都理工大学管理科学学院成都理工大学地球物理学院成都理工大学管理科学学院

【摘要】 广义S变换具有良好的时频聚集性,可以得到用来研究地层信息特征的单频数据体。但单频体分解过多会对地震数据分析带来不便,此外,如果信号在时频域上相距太近,甚至混叠,对地震信号的研究会带来很大困难。基于盲信号处理算法在广义S域中从众多的单频数据体中提取出一些有效的独立频谱分量,来识别地震剖面中的有用特征信息。在仿真试验的基础上针对TH区三叠系进行试算,与井进行的相关分析证实了该方法的有效性。

【Abstract】 Generalized S transform had good time-frequency focusing property,and it could be used to obtain the single-frequency data volume for studying the stratum information characteristics.But the overmuch single-frequency data volume would cause inconvenience to seismic data analysis.In additional,if signals were too close or even overlay,it would create difficulty for signal research.The algorithm based on the blind signal processing can extract some effective independent frequency spectrum components distinguishing with the useful characteristic information of seismic profile from the numerous single-frequency data volume.On the basis of simulation test,the method is applied in Triassic in TH Area.It is contrasted with other related analyses,it is confirmed that the method is validate.

【基金】 国家自然科学青年基金项目(40904034);数学地质四川省重点实验室开放基金项目(SCSXDZ2009016)
  • 【文献出处】 石油天然气学报 ,Journal of Oil and Gas Technology , 编辑部邮箱 ,2011年06期
  • 【分类号】P631.44
  • 【下载频次】150
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