Wigner-Ville高阶时频谱及其在塔中奥陶系缝洞型储层预测中的应用
摘要
塔中地区奥陶系深层地震反射信号弱、信噪比低,反射特征复杂,且存在火成岩干扰,造成应用常规属性分析技术不能有效地描述储层特征。Wigner-Ville高阶时频谱分析方法能够准确地反映时变信号的频谱特性,有效压制噪声、提高分辨率。本文结合孔洞地震地质模型,分析了Wigner-Ville高阶时频谱对孔洞储集体地震反射波的敏感性和有效性,并利用该方法对塔中地区奥陶系碳酸盐岩储层进行了预测,证实所求的储层频谱异常与对应的钻遇储层特征相吻合,表明了本文方法的有效性。
There are some problems in exploration of Ordovician depth strata in Tazhong area,such as weak signals,low signal to noise ratio,complicated reflection characteristics,and the interference from the igneous rock,so the routine attribute analysis techniques can not effectively characterize the reservoir characteristics. It was found in the research in this paper that the Wigner-Ville higher-order time & frequency spectrum can effectively reflect the spectrum characteristics and it could suppress the noise,raise resolution and bring objective and accurate result. Based on the void seismic-geological model the sensitiveness and effectiveness of the Wigner-Ville higher-order time & frequency spectrum to void reservoir seismic wave were analyzed,and the technique was used to predict the Ordovician carbonate reservoir. It is proved in the paper that the reservoir spectrum anomalies acquired from the technique match the characteristics of the drilled reservoir,showing the effectiveness of the method.
There are some problems in exploration of Ordovician depth strata in Tazhong area,such as weak signals,low signal to noise ratio,complicated reflection characteristics,and the interference from the igneous rock,so the routine attribute analysis techniques can not effectively characterize the reservoir characteristics. It was found in the research in this paper that the Wigner-Ville higher-order time & frequency spectrum can effectively reflect the spectrum characteristics and it could suppress the noise,raise resolution and bring objective and accurate result. Based on the void seismic-geological model the sensitiveness and effectiveness of the Wigner-Ville higher-order time & frequency spectrum to void reservoir seismic wave were analyzed,and the technique was used to predict the Ordovician carbonate reservoir. It is proved in the paper that the reservoir spectrum anomalies acquired from the technique match the characteristics of the drilled reservoir,showing the effectiveness of the method.
引文
[1]王世星,曹辉兰,靳文芳等.碳酸盐岩缝洞系统地震响应特征分析和塔中卡1区缝洞储层预测.石油物探,2005,44(5):421～427
[2]Castagna J P,Sun Shengjie.Comparisonof spectral decompo-sition methods.First Break,2006,24(1):75～79
[3]Sinha S,Routh P S,Anno P D et al.Spectral decom-position of seismic data with continuous-wavelet transform.Geophysics,2005,70(6):P19～P25
[4]徐丽英,徐鸣洁,陈振岩.利用谱分解技术进行薄储层预测.石油地球物理勘探,2006,41(3):299～302
[5]刘春园,魏修成,朱生旺等.频谱分解在碳酸盐岩储层中的应用研究.地质学报,2008,82(3):428～432
[6]张延章,尹寿鹏,张巧玲等.地震分频技术的地质内涵及其效果分析.石油勘探与开发,2006,33(1):64～71
[7]刘喜武,张宁,勾永峰等.地震勘探信号时频分析方法对比与应用分析.地球物理学进展,2008,23(3):743～753
[8]Ralston M,Rauch-Davies M,Kuang L Cet al.Gener-al method to reduce cross-term interference in theWigner-Ville decomposition,SEG Technical Pro-gram Expanded Abstracts,2007,26:870～874
[9]Fonollosa J R,Nikias C T.Wigner higher order mo-ment spectra:definition,properties,computation and application to transient signal analysis.IEEE Trans-actions on Signal Processing,1993,41(1):245～266
[10]Fonollosa J R,Nikias C T.Analysis of finite-energy signals using higher-order moment-and spectra-based ti me-frequency distributions.Signal Processing,1994,36(3):315～328
[11]Unser M.Recursion in short-ti me signal analysis.Signal Processing,1983,5(3):229～240
[12]甘泉,胡来招.基于改进Choi-Williams分布的多分量信号频率识别方法.信号处理,2006,22(6):895～898
[13]甘泉,胡来招.一种基于短时信号改进CWD的识别方法.四川大学学报(工程科学版),2006,38(3):148～151
[14]杨林,顾汉明,李宗杰等.基于时频分析技术预测碳酸盐岩缝洞储层.天然气工业,2008,28(6):37～39
[15]黄绪宝,顾汉明.塔河油田南部缝洞储层的正演模拟及地震波场特征.石油与天然气地质,2007,28(6):836～840
[16]杜正聪,贺振华,黄德济等.缝洞模型波动方程正演与偏移.成都理工大学学报(自然科学版),2003,30(4):386～390
[17]Rauch-Davies M,Ralston M.Spectral decomposition-transform methods and fluid and reservoir prediction case study∥EAGE67th Conference and Exhibition,2005
[18]Li Yandong,Zheng Xiaodong.Wigner-Ville distribu-tion and its application in seismic attenuation esti ma-tion.Applied Geophysics,2007,4(4):245～254
[19]Li Yandong,Zheng Xiaodong.Spectral decomposition using Wigner-Ville distribution with applications to carbonate reservoir characterization.The Leading Edge,2008,27(8):1050～1057
[20]尹成,伍志明,邓怀群.高阶统计量方法在地震勘探中的应用.地球物理学进展,2003,18(3):546～550
[21]熊晓军,尹成,张白林等.高阶统计量油气检测方法研究.地球物理学报,2004,47(5):920～927
[22]熊晓军,贺振华,尹成等.高阶统计量在油气地球物理勘探中的新应用.地质科技情报,2005,24(2):77～84
[2]Castagna J P,Sun Shengjie.Comparisonof spectral decompo-sition methods.First Break,2006,24(1):75～79
[3]Sinha S,Routh P S,Anno P D et al.Spectral decom-position of seismic data with continuous-wavelet transform.Geophysics,2005,70(6):P19～P25
[4]徐丽英,徐鸣洁,陈振岩.利用谱分解技术进行薄储层预测.石油地球物理勘探,2006,41(3):299～302
[5]刘春园,魏修成,朱生旺等.频谱分解在碳酸盐岩储层中的应用研究.地质学报,2008,82(3):428～432
[6]张延章,尹寿鹏,张巧玲等.地震分频技术的地质内涵及其效果分析.石油勘探与开发,2006,33(1):64～71
[7]刘喜武,张宁,勾永峰等.地震勘探信号时频分析方法对比与应用分析.地球物理学进展,2008,23(3):743～753
[8]Ralston M,Rauch-Davies M,Kuang L Cet al.Gener-al method to reduce cross-term interference in theWigner-Ville decomposition,SEG Technical Pro-gram Expanded Abstracts,2007,26:870～874
[9]Fonollosa J R,Nikias C T.Wigner higher order mo-ment spectra:definition,properties,computation and application to transient signal analysis.IEEE Trans-actions on Signal Processing,1993,41(1):245～266
[10]Fonollosa J R,Nikias C T.Analysis of finite-energy signals using higher-order moment-and spectra-based ti me-frequency distributions.Signal Processing,1994,36(3):315～328
[11]Unser M.Recursion in short-ti me signal analysis.Signal Processing,1983,5(3):229～240
[12]甘泉,胡来招.基于改进Choi-Williams分布的多分量信号频率识别方法.信号处理,2006,22(6):895～898
[13]甘泉,胡来招.一种基于短时信号改进CWD的识别方法.四川大学学报(工程科学版),2006,38(3):148～151
[14]杨林,顾汉明,李宗杰等.基于时频分析技术预测碳酸盐岩缝洞储层.天然气工业,2008,28(6):37～39
[15]黄绪宝,顾汉明.塔河油田南部缝洞储层的正演模拟及地震波场特征.石油与天然气地质,2007,28(6):836～840
[16]杜正聪,贺振华,黄德济等.缝洞模型波动方程正演与偏移.成都理工大学学报(自然科学版),2003,30(4):386～390
[17]Rauch-Davies M,Ralston M.Spectral decomposition-transform methods and fluid and reservoir prediction case study∥EAGE67th Conference and Exhibition,2005
[18]Li Yandong,Zheng Xiaodong.Wigner-Ville distribu-tion and its application in seismic attenuation esti ma-tion.Applied Geophysics,2007,4(4):245～254
[19]Li Yandong,Zheng Xiaodong.Spectral decomposition using Wigner-Ville distribution with applications to carbonate reservoir characterization.The Leading Edge,2008,27(8):1050～1057
[20]尹成,伍志明,邓怀群.高阶统计量方法在地震勘探中的应用.地球物理学进展,2003,18(3):546～550
[21]熊晓军,尹成,张白林等.高阶统计量油气检测方法研究.地球物理学报,2004,47(5):920～927
[22]熊晓军,贺振华,尹成等.高阶统计量在油气地球物理勘探中的新应用.地质科技情报,2005,24(2):77～84
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