岩性油气藏 ›› 2011, Vol. 23 ›› Issue (3): 102–105.doi: 10.3969/j.issn.1673-8926.2011.03.019

• 技术方法 • 上一篇    下一篇

一种基于EMD 和GHT 的储层识别方法

石战战1,2,贺振华1,2,文晓涛1,2,唐湘蓉1,2   

  1. 1.成都理工大学“油气藏地质及开发工程”国家重点实验室; 2.成都理工大学信息工程学院
  • 出版日期:2011-06-20 发布日期:2011-06-20
  • 作者简介:石战战,1986 年生,男,成都理工大学在读硕士研究生,主要从事地震信号处理和储层反演方面的研究工作。地址:(610059) 四川省成都市成华区成都理工大学信息工程学院5301-2 室。E-mail:shizhanzh@163.com
  • 基金资助:

    国家自然科学基金青年基金(编号:40904034)和国家自然科学基金“石油化工联合基金”重点项目(编号:40839905)联合资助

Reservoir detection based on EMD and GHT

SHI Zhanzhan 1,2, HE Zhenhua 1,2, WEN Xiaotao 1,2, TANG Xiangrong 1,2   

  1. 1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu 610059, China; 2. College of Information Engineering, Chengdu University of Technology, Chengdu 610059, China
  • Online:2011-06-20 Published:2011-06-20

摘要:

针对地震信号是具有一定带宽的非平稳信号,波形受这个带宽内所有频率影响,提出结合经验模态分解和广义希尔伯特的储层预测方法,并通过经验模态分解将地震信号分解为频率由高到低的一系列本征模函数,对分解后的每一个本征模函数分量作广义希尔伯特计算。通过与已知井储层发育情况对比,从中优选出了对储层响应敏感的本征模函数分量进行储层预测。实际资料计算结果表明,结合经验模态分解和广义希尔伯特的储层识别方法,具有较强的噪音压制能力,能够精确刻画储层形态。

关键词: 沉积特征;层序地层;沉积相演化;长兴组;垫江&mdash, 万县地区;四川盆地

Abstract:

Seismic signal is a complex non-stationary signal with a definite frequency bandwidth, and the waveform is affected by all the frequency components in the band. So a new method for reservoir prediction combined empirical mode decomposition with generalized Hilbert transform is proposed. The empirical mode decomposition (EMD) technique adaptively decomposes the seismic signals into a series of intrinsic mode functions (IMF), and every IMF component is carried out the GHT calculation. By comparing the results with reservoir development in fixed wells, the IMF components sensitive to the reservoir are optimized and used to carry out reservoir prediction. The computational result of actual data shows that the method based on EMDand GHTcan be used to describe the reservoir accurately.

Key words: sedimentary characteristics, stratigraphy sequence, sedimentary facies evolution, Changxing Formation, Dianjiang-Wanxian area, Sichuan Basin

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