频率域小波变换分频处理在川西地震勘探中的应用
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摘要
基于频率域小波变换研究,在频率域构建了合适的小波滤波器,实现了一种对地震资料进行分频与重构处理的方法。地震合成信号的分频与重构实验表明,该方法能够有效区分不同频率的地震信号,具有较高的分辨率和精确度。针对川西坳陷深层须家河组致密碎屑岩天然气储层埋藏较深、地震资料主频低、分辨率十分有限的问题,应用频率域小波变换分频重构处理方法对该区的地震资料进行了处理,获取了不同频率段的三维地震数据,将其应用于井震标定、波阻抗反演和地震属性分析等方面,取得了理想的处理效果。
Based on the research of wavelet transform in frequency domain, appropriate wavelet filters are built and a method for frequency division and reconfiguration processing on seismic data is proposed. Frequency division and reconfiguration experiments on seismic synthetic signal indicate that the method can effectively identify the signals with different frequency,and has higher resolution and accuracy.The tight clastic gas reservoir of deep Xujiahe Formation in Chuanxi Depression is characterized by deep buried depth,low dominant frequency and limited resolution of seismic data.Aiming at the problems in Chuanxi Depression,the above method was used in the seismic data processing.The processed 3D seismic data with different frequency range was applied on well-seismic calibration, wave impedance inversion and seismic attribute analysis,and good results were achieved.
Based on the research of wavelet transform in frequency domain, appropriate wavelet filters are built and a method for frequency division and reconfiguration processing on seismic data is proposed. Frequency division and reconfiguration experiments on seismic synthetic signal indicate that the method can effectively identify the signals with different frequency,and has higher resolution and accuracy.The tight clastic gas reservoir of deep Xujiahe Formation in Chuanxi Depression is characterized by deep buried depth,low dominant frequency and limited resolution of seismic data.Aiming at the problems in Chuanxi Depression,the above method was used in the seismic data processing.The processed 3D seismic data with different frequency range was applied on well-seismic calibration, wave impedance inversion and seismic attribute analysis,and good results were achieved.
引文
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[2]徐天吉,程冰洁.小波域地震信号的多尺度研究与应用[J].石油天然气学报,2007,29(5):80-83
[3]Liu J L.Spectral decomposition and its application in mapping stratigraphy and hydrocarbons[D].Houston, USA:University of Houston,2006
[4]马朋善,王继强,刘来祥,等.Morlet小波分频处理在提高地震资料分辨率中的应用[J].石油物探, 2007,46(3):283-287
[5]宿淑春,王晓华.分频波阻抗反演方法及其应用[J].石油大学学报,2002,24(1):85-87
[6]赵爽,李仲东,许红梅.分频解释技术及其在陆相砂岩地层地震勘探中的应用分析[J].矿物岩石,2006, 104(2):106-110
[7]余鹏.分频技术在储层预测中的应用[J].油气地球物理,2006,4(1):45-47
[8]Chakraborty A,Okaya D.Frequency-time decompo- sition of seismic data using wavelet-based methods [J].Geophysics,1995,60(6):1906-1916
[9]刘文霞.分频处理技术在辽河深层地震资料处理中的应用[J].石油物探,2001,40(2):116-120
[10]黄中玉,王于静,唐金良.分频技术在气层识别中的应用[J].天然气工业,2007,27(增刊A):390-391
[11]周延平,杨靖,蒲仁海.利用分频技术预测薄层[J].海洋地质动态,2007,23(9):30-34
[12]龚洪林,王振卿,蔡刚,等.分频解释技术在碳酸盐岩储层预测中的应用[J].西南石油大学学报.2007,29 (增刊1):5-8
[13]高静怀,汪文秉,朱光明.小波变换与信号瞬时特征分析[J].地球物理学报,1997,40(6):821-832
[14]Morlet J,Arens G,Fourgeau E,et al.Wave propagation and sampling theory - part 2:sampling theory and complex waves[J].Geophysics,1982,47(2):203-221
[15]Liu J L,Wu Y,Han D,et al.Time-frequency decomposition based on Ricker wavelet[J].Expanded Abstracts of 74~(th) Annual Internat SEG Mtg,2004,1937-1940
[16]Liu J L,Marfure K J.Matching pursuit decomposition using Morlet wavelets[J].Expanded Abstracts of 75th Annual Internat SEG Mtg,2005,786-789
[17]陈遵德.频率域中的小波变换方法[J].物探化探计算技术,1994,16(3):243-248,259
[18]王西文,刘全新,高静怀,等.地震资料在小波域的分频处理与重构[J].石油地球物理勘探,2001,36(1): 78-85
[19]鲁红英,徐天吉,甘其刚,等.川西坳陷深层须家河组裂缝模型含气响应研究[J].石油物探,2007,46(3): 254-260,271
[20]李显贵,徐天吉,甘其刚.新场气田须家河气藏含气性地震检测研究[J].石油物探,2006,45(9): 186-191
[21]叶泰然,苏锦义,刘兴艳.分频解释技术在川西砂岩储层预测中的应用[J].石油物探,2008,47(1): 72-76
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