方向性滤波去噪方法及其应用
|
摘要
目前的地震资料去噪方法多为对逐道的地震数据进行去噪处理,未考虑构造或层序方面的信息,方向性滤波去噪方法的不同之处在于它是沿着地震数据的同相轴方向进行滤波,可以更加有效地提高地震信号的信噪比,并增强地震同相轴的连续性。方向性滤波去噪方法是通过梯度结构张量估计地震同相轴的方向信息,根据这些方向信息进行方向性滤波器的设计,并将该滤波器应用于地震数据进行滤波。模型检验及实际应用表明,方向性滤波去噪方法不仅提高了原始地震数据的信噪比,还保持了原始信号的分辨率,方向性滤波去噪处理的地震资料仅在低频和高频部分的能量略有降低,并未降低原始信号的主频,为进一步的地震解释性处理提供高信噪比、高分辨率的地震数据,具有广阔的实际应用价值。
The current seismic noising cancelling methods are mostly data processing by means of reading the seismic data trace by trace without considering the layer structure information.Orientation filtering method can filter data along seismic events.So,it can improve the SNR of seismic signal more effectively,enhance the continuity of seismic events and show sequence internal model clearly.Firstly,seismic events direction information is estimated by using the gradient structure tensor.Secondly,orientation filter is designed depending on the direction information.Finally,the proposed filter is applied in real seismic data processing.Model and real data application shows that this method can provide high quality seismic data for seismic data processing,and thus has a better practical application value.
The current seismic noising cancelling methods are mostly data processing by means of reading the seismic data trace by trace without considering the layer structure information.Orientation filtering method can filter data along seismic events.So,it can improve the SNR of seismic signal more effectively,enhance the continuity of seismic events and show sequence internal model clearly.Firstly,seismic events direction information is estimated by using the gradient structure tensor.Secondly,orientation filter is designed depending on the direction information.Finally,the proposed filter is applied in real seismic data processing.Model and real data application shows that this method can provide high quality seismic data for seismic data processing,and thus has a better practical application value.
引文
[1]张旭东,詹毅,马永琴.不同信号的小波变换去噪方法[J].石油地球物理勘探,2007,42(增刊):118-123.
[2]赵淑红,朱光明.S变换时频滤波去噪方法[J].石油地球物理勘探,2007,42(4):402-406.
[3]周廷全,夏冰,杜莉莉.复合多域去噪技术在复杂地表区域地震数据处理中的应用[J].油气地质与采收率,2002,9(6):13-15.
[4]康冶,于承业,贾卧,等.f-x域去噪方法研究[J].石油地球物理勘探,2003,38(2):136-138.
[5]吴龙丽.压制抽油机噪音的三维矢量组合法[J].油气地质与采收率,2010,17(6):51-53.
[6]赵天姿,宋炜,王尚旭.基于匹配追踪算法的时频滤波去噪方法[J].石油物探,2008,47(4):367-371.
[7]刘财,李红星,陶春辉,等.模糊嵌套多级中值滤波方法及其在地震数据处理中的应用[J].地球物理学报,2007,50(5):1534-1542.
[8]Bakker P.Image structure analysis for seismic interpretation[D].Delft:Delft University of Technology,2002.
[9]Freeman W T.Steerable filters and local analysis of image structure[D].Massachusetts:Massachusetts Institute of Technology,1992.
[10]Fehmers G,Hocker C.Fast structural interpretation with stucture-oriented filtering[J].Geophysics,1999,68(4):1286-1293.
[11]隋淑玲,谭俊敏.东营凹陷低位三角洲砂体隐蔽油气藏研究[J].油气地质与采收率,2004,11(2):25-28.
[12]王化爱,张建忠,张宇,等.陆相断陷盆地三角洲地层划分与对比——以济阳坳陷东营三角洲为例[J].油气地质与采收率,2004,11(3):1-3.
[2]赵淑红,朱光明.S变换时频滤波去噪方法[J].石油地球物理勘探,2007,42(4):402-406.
[3]周廷全,夏冰,杜莉莉.复合多域去噪技术在复杂地表区域地震数据处理中的应用[J].油气地质与采收率,2002,9(6):13-15.
[4]康冶,于承业,贾卧,等.f-x域去噪方法研究[J].石油地球物理勘探,2003,38(2):136-138.
[5]吴龙丽.压制抽油机噪音的三维矢量组合法[J].油气地质与采收率,2010,17(6):51-53.
[6]赵天姿,宋炜,王尚旭.基于匹配追踪算法的时频滤波去噪方法[J].石油物探,2008,47(4):367-371.
[7]刘财,李红星,陶春辉,等.模糊嵌套多级中值滤波方法及其在地震数据处理中的应用[J].地球物理学报,2007,50(5):1534-1542.
[8]Bakker P.Image structure analysis for seismic interpretation[D].Delft:Delft University of Technology,2002.
[9]Freeman W T.Steerable filters and local analysis of image structure[D].Massachusetts:Massachusetts Institute of Technology,1992.
[10]Fehmers G,Hocker C.Fast structural interpretation with stucture-oriented filtering[J].Geophysics,1999,68(4):1286-1293.
[11]隋淑玲,谭俊敏.东营凹陷低位三角洲砂体隐蔽油气藏研究[J].油气地质与采收率,2004,11(2):25-28.
[12]王化爱,张建忠,张宇,等.陆相断陷盆地三角洲地层划分与对比——以济阳坳陷东营三角洲为例[J].油气地质与采收率,2004,11(3):1-3.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心