The application of seismic instantaneous attributes based on EEMD in glutenite
XIE Xing-Long1, SUN Sheng1, WANG Yan-Chun2, REN Zheng-Wei1, LI Jing-Jing2
1. Center for Hydrogeology and Environmental Geology Survey, CGS, Baoding 071051, China; 2. China University of Geosciences, Geophysics and Information Technology Institute, Beijing 100083, China
Abstract:As an improved algorithm of empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD) can suppress the mode mixing effect existing in EMD and restrain interfering noise in available signal. The improvement effect and anti-jam capability were proved through theoretical tests in this paper. The seismic data from a block in eastern China was decomposed by using EEMD, and the result contained intrinsic mode functions (IMF) with different frequencies, the IMF most sensitive to glutenite was found combined with geological conditions, and the instantaneous attributes of the IMF were calculated by using Hilbert transform. A comparison of the instantaneous frequency of the IMF with that of the raw data shows that the former is more sensitive to fluid interface than the latter.
谢兴隆, 孙晟, 王彦春, 任政委, 李晶晶. 基于EEMD的地震瞬时属性在砂砾岩中的应用[J]. 物探与化探, 2014, 38(4): 717-722.
XIE Xing-Long, SUN Sheng, WANG Yan-Chun, REN Zheng-Wei, LI Jing-Jing. The application of seismic instantaneous attributes based on EEMD in glutenite. Geophysical and Geochemical Exploration, 2014, 38(4): 717-722.
[1] Huang N E,Shen Z,Long S R,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-station time series analysis[J].Proceeding of the Royal Society of London,1998,454:903-995. [2] Huang N E,Shen Z,Long S R.A new view of nonlinear water waves: the Hilbert spectrum[J].Annual Review of Fluid Mechanics,1999,31:417-457. [3] 张如一.基于希尔伯特黄变换的薄储层识别方法研究.青岛:中国海洋大学,2012. [4] Wu Z,Huang N E.Ensemble empirical mode decomposition:a noise-assisted data analysis method[J].Advances in Adaptive Data Analysis.2009,1(1):1-41. [5] 曹思远,邴萍萍,路交通,等.利用改进希尔伯特-黄变换进行地震资料时频分析[J].石油地球物理勘探,2013,48(2):246-254. [6] 杨培杰,印兴耀,张广智.希尔伯特—黄变换地震信号时频分析与属性提取[J].地球物理学进展,2007,22(5):1585-1590. [7] Cai H P, He Z H, Huang D J.Seismic data denoising based on mixed time-frequency methods[J].Applied Geophysics,2011,8(4):319-327. [8] 王维强,杨国权.基于EMD与ICA的地震信号去噪技术研究[J].石油物探,2012,51(1):19-29. [9] 刘庆敏,杨午阳,田连玉,等.基于经验模态分解的地震相分析技术[J].石油地球物理勘探,2010,45(S1):145-149. [10] Huang Y P, Geng J H, Zhong G F,et al.Seismic attribute extraction based on HHT and its application in a marine carbonate area[J]. Applied Geophysics,2011,8(2):125-133. [11] 陈伟,王尚旭,啜晓宇.基于经验模态分解的属性优化方法[J].石油地球物理勘探,2013,48(1):121-127. [12] 昝灵,王顺华,张枝焕,等.砂砾岩储层研究现状[J].长江大学学报:自然科学版,2011,8(3):63-66. [13] Wu Z ,Huang N E.A study of the characteristics of white noise using the empirical mode decomposition method[J].Proceedings Of The Royal Society,2004,460:1597-1611. [14] 李大虎,赖敏,何强,等.基于聚类经验模态分解(EEMD)的汶川M_S8.0强震动记录时频特性分析[J].地震学报,2012,34(3):350-362. [15] Huang N E,Wu Z,Long S R,et al.On instantaneous frequency[J].Advance in Adaptive Data Analysis,2009,1(2):177-229.