利用小波参数检测砂体分布
|
摘要
由于砂体储层对地震反射信号产生时间和频率的影响,而小波变换正好能反映信号的时间及频率成分,所以本文利用小波变换分析了地震记录的时频特征。鉴于小波变换对信号具有局部分析能力,并能提供多尺度的小波系数,因而小波变换能更精细地用于储层预测。通过理论模型试验进一步论述了小波系数可以作为信号时频特征的量度,提出了将地震信号的小波参数作为一类新的地震属性即小波属性。在实践中可得到目的层小波属性图,了解目的层反射特征的横向变化,检测储层分布。本文认为,小波属性可以像其他地震属性参数一样,用于多属性分析。
Since the sand body reservoir have influence on seismic reflected signals in time and frequency and wavelet transform can just reflect the time and frequency components of signals ,therefore,the pa per uses wavelet transform to analyze the time-frequency feature of seismic records. In view of the capability of locally analyzing the signals and providing multi-scale wavelet coefficients that the wavelet transform has, so the wavelet transform can finely be used for reservoir prediction. The wavelet coefficients can be taken as measuring the time-frequency feature of signals that could be further demonstrated by tests of the theoretical models, The paper presented the wavelet parameters of seismic signals being taken as a new kind of seismic attributes,i, e. wavelet attributes. The map of seismic attributes of the targets can be acquired in practice where the lateral variation of reflected feature of targets is known and distribution of reservoirs is detected. The paper considered that like other seismic attributes parameters ,the wavelet attributes belong to multi-attributes analysis.
Since the sand body reservoir have influence on seismic reflected signals in time and frequency and wavelet transform can just reflect the time and frequency components of signals ,therefore,the pa per uses wavelet transform to analyze the time-frequency feature of seismic records. In view of the capability of locally analyzing the signals and providing multi-scale wavelet coefficients that the wavelet transform has, so the wavelet transform can finely be used for reservoir prediction. The wavelet coefficients can be taken as measuring the time-frequency feature of signals that could be further demonstrated by tests of the theoretical models, The paper presented the wavelet parameters of seismic signals being taken as a new kind of seismic attributes,i, e. wavelet attributes. The map of seismic attributes of the targets can be acquired in practice where the lateral variation of reflected feature of targets is known and distribution of reservoirs is detected. The paper considered that like other seismic attributes parameters ,the wavelet attributes belong to multi-attributes analysis.
引文
[1] 蒋录全．小波理论及其在地震勘探中的应用．地质科 技情报,1995,14(1):89-98
[2]刘葵．时频分析在石油地球物理勘探中的应用．世界 地质,2000,19(3);282-285
[3] 张波．小波分析和反演联合去除随机噪声的研究。石 油地球物理勘探,1999,34(6):635-641
[4]段誉荣．小波分析在勘探中的应用．重庆大学学报(自 然科学版),1996,19(6):44-53
[5]何光明．用小波分析提高地震的分辨率．石油地球物 理勘探,1995,30(2):257-263
[6] 高静怀．小波变换与信号瞬时特征分析．地球物理学 报,1997,40(6):821-832
[7] 钟森．反射地震记录的多尺度边缘检测．石油地球物 理勘探,1998,33(1):61-65
[8]石玉梅．基于Bubble函数多分辨断层检测．中国矿业 大学学报,2000,29(4):410-412
[9] 于波．小波变换求取地震特征识别侵蚀沟谷．石油地 球物理勘探,1999,34(2):164-170
[10] 罗永建．小波变换薄层地震信号分析应用．西安交通 大学学报,2001,35(8):848-863
[11] 王成祥．隐蔽圈闭的识别及可视化技术．物探化探计 算技术,1996,18(2):97-107
[12] 陈广军．小波分析技术在薄砂岩储集层描述中的应 用．石油物探,2002,41(1):95-99
[13] 勾永峰．利用小波参数进行油气预测．石油物探, 1996,35(4):52-58
[14] 丁峰．地震属性分析系统研制和应用研究．西南石油 学院硕士论文,2004,6
[15] Daubechies Ⅰ. The wavelet transform, time-frequency localization and signal analysis. IEEE Trans Inform Theory, 1990,36:961-1005
[16] Mallat S. A theory for multi-resolution signal decomposition: the wavelet representation. IEEE Trans Patt Anal and Mach Intel, 1989,11(7) : 674 -693
[2]刘葵．时频分析在石油地球物理勘探中的应用．世界 地质,2000,19(3);282-285
[3] 张波．小波分析和反演联合去除随机噪声的研究。石 油地球物理勘探,1999,34(6):635-641
[4]段誉荣．小波分析在勘探中的应用．重庆大学学报(自 然科学版),1996,19(6):44-53
[5]何光明．用小波分析提高地震的分辨率．石油地球物 理勘探,1995,30(2):257-263
[6] 高静怀．小波变换与信号瞬时特征分析．地球物理学 报,1997,40(6):821-832
[7] 钟森．反射地震记录的多尺度边缘检测．石油地球物 理勘探,1998,33(1):61-65
[8]石玉梅．基于Bubble函数多分辨断层检测．中国矿业 大学学报,2000,29(4):410-412
[9] 于波．小波变换求取地震特征识别侵蚀沟谷．石油地 球物理勘探,1999,34(2):164-170
[10] 罗永建．小波变换薄层地震信号分析应用．西安交通 大学学报,2001,35(8):848-863
[11] 王成祥．隐蔽圈闭的识别及可视化技术．物探化探计 算技术,1996,18(2):97-107
[12] 陈广军．小波分析技术在薄砂岩储集层描述中的应 用．石油物探,2002,41(1):95-99
[13] 勾永峰．利用小波参数进行油气预测．石油物探, 1996,35(4):52-58
[14] 丁峰．地震属性分析系统研制和应用研究．西南石油 学院硕士论文,2004,6
[15] Daubechies Ⅰ. The wavelet transform, time-frequency localization and signal analysis. IEEE Trans Inform Theory, 1990,36:961-1005
[16] Mallat S. A theory for multi-resolution signal decomposition: the wavelet representation. IEEE Trans Patt Anal and Mach Intel, 1989,11(7) : 674 -693
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