基于弹性阻抗贝叶斯反演的拉梅参数提取方法研究

宗兆云, 印兴耀, 张繁昌

石油地球物理勘探 ›› 2011, Vol. 46 ›› Issue (4) : 598-604,609.

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石油地球物理勘探 ›› 2011, Vol. 46 ›› Issue (4) : 598-604,609.
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基于弹性阻抗贝叶斯反演的拉梅参数提取方法研究

  • 宗兆云, 印兴耀, 张繁昌
作者信息 +

Elastic impedance Bayesian inversion for lame parameters extracting

  • Zong Zhao-yun, Yin Xing-yao, Zhang Fan-chang
Author information +
文章历史 +

摘要

在储层预测和油气直接检测方面,储层介质拉梅参数比传统的纵横波速度及密度参数更有应用价值。叠前弹性波阻抗反演具有信息量丰富、分辨率高、运算速度快等特点。本文在贝叶斯理论框架下,假设待反演参数服从改进Cauchy分布,采用稀疏脉冲反演方法实现了基于Gray近似的叠前弹性波阻抗反演,并在此基础上提取到地下介质的拉梅参数信息。该方法可以较好地恢复待反演参数的稀疏性,减少对弱信号的压制并实现拉梅参数直接提取,减少传统方法带来的累积误差。模型试算表明,基于弹性阻抗贝叶斯反演的拉梅参数直接提取方法具有较好的稳定性和可靠性。实际应用表明,该方法适用于非均质性强的缝洞型碳酸盐岩储层,结果准确可靠。

Abstract

Lame parameters are much more sensitive and have an advantage over traditional elastic parameters such as velocity and density in reservoir prediction and hydrocarbon direct indication.Elastic impedance inversion as a practical seismic inversion methodology is extensively used for its amounts of information,high resolution and calculation efficiency.This paper realizes elastic inversion and lame parameter direct extracting with modified Cauchy distribution and spike sparse inversion method based on Gray approximation and Bayes theory.This method is capable to better restore sparseness of parameters and realize the direct abstracting for lame parameters,which leads to less affection of weak signal and less error brought by accumulating calculation compared with conventional elastic impedance inversion methods.Both model experiments and real examples show that this method is stable for research of heterogeneous media such as fracture-cavernous carbonate reservoir.

关键词

拉梅参数 / 弹性阻抗 / Gray近似 / 贝叶斯理论 / 非均匀介质

Key words

lame parameter / elastic impedance / Gray approximation / Bayes theory / heterogeneous media

引用本文

导出引用
宗兆云, 印兴耀, 张繁昌. 基于弹性阻抗贝叶斯反演的拉梅参数提取方法研究[J]. 石油地球物理勘探, 2011, 46(4): 598-604,609
Zong Zhao-yun, Yin Xing-yao, Zhang Fan-chang. Elastic impedance Bayesian inversion for lame parameters extracting[J]. Oil Geophysical Prospecting, 2011, 46(4): 598-604,609
中图分类号: P631   

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基金

国家“973”项目(2007CB209605);国家油气重大专项(2008ZX05030-04-001-001)联合资助

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