石油学报 ›› 2008, Vol. 29 ›› Issue (4): 539-543.DOI: 10.7623/syxb200804011

• 地质勘探 • 上一篇    下一篇

基于正演模型的储层谱分解响应特征分析

邓继新1,2, Han Dehua2, 王尚旭3   

  1. 1. 成都理工大学信息工程学院, 四川成都, 610059;
    2. Rock Physics Lab of Geoscience Department, University of Houston, Houston 77036, USA;
    3. 中国石油大学CNPC物探重点实验室, 北京, 102249
  • 收稿日期:2007-10-06 修回日期:2007-12-21 出版日期:2008-07-25 发布日期:2010-05-21
  • 作者简介:邓继新,男,1974年9月生,2003年获北京大学博士学位,现为成都理工大学信息工程学院地球物理系副教授,主要从事岩石物理、储层地球物理方面的研究.E-mail:xingjia5049@sina.com
  • 基金资助:
    国家重点基础研究发展规划(973)项目(2007CB209600)资助.

Analysis on spectral decomposition response of reservoir based on forward modeling

DENG Jixin1,2, HAN Dehua2, WANG Shangxu3   

  1. 1. College of Information Engineering, Chengdu University of Technology, Chengdu 610059, China;
    2. Rock Physics Lab of Geosciences Department, University of Houston, Houston 77036, USA;
    3. Key Laboratory for Geophysical Prospecting of CNPC, China University of Petroleum, Beijing 102249, China
  • Received:2007-10-06 Revised:2007-12-21 Online:2008-07-25 Published:2010-05-21

摘要: 对楔形砂体正演模型的谱分解响应特征(峰值频率、谱比)的分析表明,反射波的谱分解特征主要受控于地层反射系数序列、层厚以及孔隙流体特征.与含气储层相关的谱分解异常所出现的频率范围并无统一规律,既可以出现与含气相关的低频谱分解异常,也可出现与含气相关的高频谱分解异常.根据所研究储层的特性建立了系统正演模型,利用该模型得到了特定储层谱属性的变化特征,为运用谱分解技术进行储层流体检测时选择最佳频率范围提供了依据.

关键词: 储层特征, 谱分解技术, 正演模型, 峰值频率, 谱分解响应, 储层流体检测

Abstract: The spectral attributes from synthetic forward model were analyzed.The analysis result reveals that the reservoir thickness and reflectivity series are the first-order factors to control the spectral decomposition response.The spectral anomalies of the gas-associated reservoirs can occur at low-frequency sections or high-frequency sections.The systematic synthetic model was developed on the basis of reservoir properties.This model can provide information about the properties of spectral attributes for the special reservoirs and is helpful in selection of the optimal frequency range in the reservoir fluid detection.

Key words: reservoir characteristic, spectral decomposition technique, forward modeling, peak frequency, spectral decomposition response, reservoir fluid detection

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