基于匹配追踪谱分解的时频域FAVO流体识别方法

doi:10.7623/syxb201606008

石油学报 ›› 2016, Vol. 37 ›› Issue (6): 777-786.DOI: 10.7623/syxb201606008

基于匹配追踪谱分解的时频域FAVO流体识别方法

李坤¹, 印兴耀², 宗兆云²

1. 中国石油大学地球科学与技术学院山东青岛 266580;
2. 海洋国家实验室海洋矿产资源评价与探测技术功能实验室山东青岛 266071

收稿日期:2015-12-31 修回日期:2016-04-22 出版日期:2016-06-25 发布日期:2016-06-30
通讯作者: 李坤,男,1989年11月生,2013年获中国石油大学(华东)学士学位,现为中国石油大学(华东)硕士研究生,主要从事地球物理反演理论与方法在油气勘探领域的研究。Email:likunupc@126.com
作者简介:李坤,男,1989年11月生,2013年获中国石油大学(华东)学士学位,现为中国石油大学(华东)硕士研究生,主要从事地球物理反演理论与方法在油气勘探领域的研究。Email:likunupc@126.com
基金资助:
国家自然科学基金(石油化工联合基金)重点项目(No.U1562215)和国家重点基础研究发展计划(973)项目(2013CB228604)资助。

Time-frequency-domain FAVO fluid discrimination method based on matching pursuit spectrum decomposition

Li Kun¹, Yin Xingyao², Zong Zhaoyun²

1. School of Geosciences, China University of Petroleum, Shandong Qingdao 266580, China;
2. Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Shandong Qingdao 266071, China

Received:2015-12-31 Revised:2016-04-22 Online:2016-06-25 Published:2016-06-30

摘要/Abstract

摘要：

基于Morlet小波的快速动态匹配追踪高分辨率谱分解算法,对比研究了短时傅立叶变换、S变换、连续小波变换及匹配追踪Wigner-Ville分布的时频分辨特征。在此基础上,为充分利用叠前地震资料中蕴含的振幅和频率信息,将快速匹配追踪谱分解方法与体现流体因子的频变AVO(FAVO)反射特征方程相结合,并依靠匹配追踪算法的高时频分辨特性,发展高分辨率时频域FAVO直接反演方法,该方法将常规谱均衡过程构建于目标泛函中,减少了频散属性提取过程的中间环节,避免了在消除"子波叠印"时引入的累计计算误差。模型测试和实际资料处理表明,该频散属性反演方法有助于精细刻画油气藏位置,是一种可靠性较高的储层流体类型检测方法。

关键词: 频变AVO反演, 匹配追踪, 时频分辨率, 频变流体因子, 流体识别

Abstract:

A study is performed on the rapid dynamic matching pursuit algorithm with high-resolution spectrum decomposition based on Morlet wavelet, while a comparison is conducted on the time-frequency resolution characteristics of short-time Fourier transform, S transform, continuous wavelet transform and matching pursuit Wigner-Ville distribution. On this basis, rapid matching pursuit spectrum decomposition method is used in combination with the reflection characteristic equation of frequency-dependent AVO (FAVO) displaying fluid factor, so as to make full use of the amplitude and frequency information in pre-stack seismic data. Then, the time-frequency-domain FAVO direct inversion method with high resolution is developed depending on the high time-frequency resolution property of matching pursuit algorithm. In this method, the conventional spectral balancing process is built in objective functional, so as to reduce the intermediate links of dispersion attribute extraction process and avoid the accumulated calculation errors introduced in the process of eliminating "wavelet superimposition". Model tests and actual data processing demonstrate that such dispersion attribute inversion method is helpful to precisely describe the positions of hydrocarbon reservoir, and identified as a highly reliable method for determining reservoir fluid type.

Key words: FAVO inversion, matching pursuit, time-frequency resolution, frequency-dependent fluid factors, fluid discrimination

中图分类号:

P631.4

李坤, 印兴耀, 宗兆云. 基于匹配追踪谱分解的时频域FAVO流体识别方法[J]. 石油学报, 2016, 37(6): 777-786.

Li Kun, Yin Xingyao, Zong Zhaoyun. Time-frequency-domain FAVO fluid discrimination method based on matching pursuit spectrum decomposition[J]. Acta Petrolei Sinica, 2016, 37(6): 777-786.

参考文献

[1] 邓继新,Han Dehua,王尚旭.基于正演模型的储层谱分解响应特征分析[J].石油学报,2008,29(4):539-543.
Deng Jixin,Han Dehua,Wang Shangxu.Analysis on spectral decomposition response of reservoir based on forward modeling[J].Acta Petrolei Sinica,2008,29(4):539-543.
[2] 黄捍东,向坤,王彦超,等.匹配追踪法在碳酸盐岩流体检测中的应用——以哈萨克斯坦楚-萨雷苏盆地为例[J].石油学报,2015,36(增刊2):184-193.
Huang Handong,Xiang Kun,Wang Yanchao,et al.Application of matching pursuit method for detection of fluid in carbonate rock:a case study from Chu-Sarysu Basin in Kazakhstan[J].Acta Petrolei Sinica,2015,36(Supplement 2):184-193.
[3] Mallat S G,Zhang Zhifeng.Matching pursuits with time-frequency dictionaries[J].IEEE Transactions on Signal Processing,1993,41(12):3397-3415.
[4] Liu Jianlei,Wu Yafei,Han Dehua,et al.Time-frequency decomposition based on ricker wavel[R].SEG-2004-1937,2004.
[5] Liu Jianlei,Marfurt K J.Matching pursuit decomposition using Morlet wavelets[R].SEG-2005-0786,2005.
[6] Wang Yanghua.Seismic time-frequency spectral decomposition by matching pursuit[J].Geophysics,2007,72(1):V13.
[7] 张繁昌,李传辉,印兴耀.基于动态匹配子波库的地震数据快速匹配追踪[J].石油地球物理勘探,2010,45(5):667-673.
Zhang Fanchang,Li Chuanhui,Yin Xingyao.Seismic data fast matching pursuit based on dynamic matching wavelet library[J].Oil Geophysical Prospecting,2010,48(5):667-673.
[8] 张繁昌,李传辉.地震信号复数域高效匹配追踪分解[J].石油地球物理勘探,2013,48(2):171-175.
Zhang Fanchang,Li Chuanhui.Complex domain efficient matching pursuit decomposition of seismic signals[J].Oil Geophysical Prospecting,2013,48(2):171-175.
[9] Wilson A,Chapman M,Li Xiangyang.Frequency-dependent AVO inversion[R].SEG-2009-0341,2009.
[10] Wu Xiaoyang,Chapman M,Wilson A,et al.Estimating seismic dispersion from pre-stack data using frequency-dependent AVO inversion[R].SEG-2010-0425,2010.
[11] 张世鑫,印兴耀,张广智,等.纵波速度频散属性反演方法研究[J].石油物探,2011,50(3):219-224.
Zhang Shixin,Yin Xingyao,Zhang Guangzhi,et al.Inversion method for the velocity dispersion-dependent attribute of P-wave[J].Geophysical Prospecting for Petroleum,2011,50(3):219-224.
[12] 郝前勇,张世鑫,张峰,等.基于频变AVO反演的频散属性估算方法及其应用[J].石油地球物理勘探,2013,48(2):255-261.
Hao Qianyong,Zhang Shixin,Zhang Feng,et al.Dispersion attributes estimation based on frequency-dependent AVO inversion and its application in hydrocarbon detection[J].Oil Geophysical Prospecting,2013,48(2):255-261.
[13] Zhang Zhen,Yin Xingyao,Zong Zhaoyun.A New Frequency-dependent AVO attribute and its application in fluid identification[C]//Proceedings of the 75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013.London:EAGE,2013.
[14] Zhang Shixin,Yin Xingyao,Zhang Guangzhi.Dispersion-dependent attribute and application in hydrocarbon detection[J].Journal of Geophysics and Engineering,2011,8(4):498-507.
[15] 印兴耀,曹丹平,王保丽,等.基于叠前地震反演的流体识别方法研究进展[J].石油地球物理勘探,2014,49(1):22-34.
Yin Xingyao,Cao Danping,Wang Baoli,et al.Research progress of fluid discrimination with pre-stack seismic inversion[J].Oil Geophysical Prospecting,2014,49(1):22-34.
[16] Yin Xingyao,Zong Zhaoyun,Wu Guochen.Seismic wave scattering inversion for fluid factor of heterogeneous media[J].Science China Earth Sciences,2014,57(3):542-549.
[17] Yin Xingyao,Zong Zhaoyun,Wu Guochen.Research on seismic fluid identification driven by rock physics[J].Science China Earth Sciences,2015,58(2):159-171.
[18] 李景叶,陈小宏.基于地震资料的储层流体识别[J].石油学报,2008,29(2):235-238.
Li Jingye,Chen Xiaohong.Reservoir fluid identification based on seismic data[J].Acta Petrolei Sinica,2008,29(2):235-238.
[19] 李传辉.地震信号快速匹配追踪分解及瞬时谱分析[D].青岛:中国石油大学(华东),2012.
Li Chuanhui.Fast matching pursuit decomposition and instantaneous spectral analysis of seismic signals[D].Qingdao:China University of Petroleum,2012.
[20] Morlet J,Arens G,Fourgeau E,et al.Wave propagation and sampling theory-PartⅡ:sampling theory and complex waves[J].Geophysics,1982,47(2):222-236.
[21] 陈林,宋海斌.基于Morlet小波匹配追踪算法的地震时频属性提取[J].石油地球物理勘探,2008,43(6):673-679.
Chen Lin,Song Haibin.Extraction of seismic time-frequency attribute based on Morlet wavelet match tracing algorithm[J].Oil Geophysical Prospecting,2008,43(6):673-679.
[22] Russell B H,Hedlin K,Hilterman F J,et al.Fluid-property discrimination with AVO:a Biot-Gassmann perspective[J].Geophysics,2003,68(1):29-39.
[23] Robinson E A.Predictive decomposition of time series with applications to seismic exploration[D].Massachusetts:Massachusetts Institute of Technology (MIT),1954.

基于匹配追踪谱分解的时频域FAVO流体识别方法

Time-frequency-domain FAVO fluid discrimination method based on matching pursuit spectrum decomposition

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 5

编辑推荐

Metrics

本文评价

[1]	马中高, 朱立华, 张卫华, 刘厚裕, 王猛. 雷州半岛南部玄武岩岩石物理特征[J]. 石油学报, 2020, 41(6): 702-710.
[2]	刘军, 刘杰, 曹均, 文晓涛, 徐乐意, 陈人杰, 陈兆明. 基于岩石物理实验的储层与孔隙流体敏感参数特征——以珠江口盆地东部中-深层碎屑岩储层为例[J]. 石油学报, 2019, 40(s1): 197-205.
[3]	逯宇佳, 曹俊兴, 刘哲哿, 田仁飞, 肖学. 波形分类技术在缝洞型储层流体识别中的应用[J]. 石油学报, 2019, 40(2): 182-189.
[4]	刘志杰, 范宜仁, 曹军涛, 肖承文, 邓少贵, 葛新民, 蔡德洋, 别康. 基于地应力校正的变胶结指数饱和度计算方法——以库车前陆盆地A井区为例[J]. 石油学报, 2018, 39(7): 814-823.
[5]	黄捍东, 向坤, 王彦超, 张生, 李冰姝, 杨亚迪, 李金奎. 匹配追踪法在碳酸盐岩流体检测中的应用——以哈萨克斯坦楚-萨雷苏盆地为例[J]. 石油学报, 2015, 36(S2): 184-193.