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基于广义S 变换频散AVO 属性提取方法研究
引用本文:高刚,李玉海,桂志先,王文涛. 基于广义S 变换频散AVO 属性提取方法研究[J]. 岩性油气藏, 2015, 27(4): 84-88. DOI: 10.3969/j.issn.1673-8926.2015.04.012
作者姓名:高刚  李玉海  桂志先  王文涛
作者单位:1. 长江大学 油气资源与勘探技术教育部重点实验室,武汉 430100 ;2. 东方地球物理公司研究院 大港分院研究所,天津 300280
基金项目:国家自然科学基金项目“孔隙介质低频地震衰减与频散异常识别机理及应用”,中国石化中原油田分公司项目“东濮凹陷油气富集规律与增储领域”
摘    要:实验模拟和理论研究均表明,流体充填介质常常导致地震波发生不同程度的频散和衰减,为利用地震波频散特征识别储层流体提供了依据。 为了更有效地识别储层流体,需要研究提高地震波频散属性计算精度与可靠性的方法。为此,首先调研了纵波与横波频散属性的提取方法,分析并对比了多种时频分析方法的优缺点,优选出能够根据实际地震信号的频率分布特征灵活调节时窗的广义 S 变换方法,并将其用于具体信号的分析与处理中,然后制作了相应的计算流程,最后利用该方法对 K71 断块实际地震资料进行计算,其结果与实钻结果吻合较好。

关 键 词: 速敏效应  黏土矿物  微粒运移  三叠系  塔北隆起  

Abstraction of frequency-dependent AVO attributes based on generalized S transform
Gao Gang,Li Yuhai,Gui Zhixian,Wang Wentao. Abstraction of frequency-dependent AVO attributes based on generalized S transform[J]. Northwest Oil & Gas Exploration, 2015, 27(4): 84-88. DOI: 10.3969/j.issn.1673-8926.2015.04.012
Authors:Gao Gang  Li Yuhai  Gui Zhixian  Wang Wentao
Affiliation: 1. Key Laboratory of Exploration Technologies for Oil and Gas Resources , Ministry of Education , Yangtze University ,Wuhan 430100 , China ; 2. Dagang Sub-division of Research Institute , Bureau of Geophysical Prospecting INC , CNPC , Tianjin 300280, China
Abstract:In recent years, laboratory and theoretical studies showed that fluid-media often leads to varying degrees of dispersion and attenuation of seismic waves, which provides a basis for identifying the reservoir fluid. In order to identify reservoir fluid more effectively, it is necessary to study to improve the accuracy and reliability of the seismic wave dispersion attributes. Firstly, the theory of the seismic wave dispersion attributes was summarized, the advantages and disadvantages of a variety of time-frequency analysis method were analyzed and compared, generalized S transform was optimized to process and analyze seismic data because it’s timewindow is flexibly adjusted according to the frequency distribution characteristics of seismic signals. Secondly, the corresponding calculation process was conducted. Finally, this method was applied in actual data calculation of K71 fault block, and the result is in good correspondence with actual drilling results.
Keywords:fluid identification  generalized S transform  petrophysics  magnitude of dispersion
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