河流相储层特征提取及识别技术研究—

摘要
参考文献
相关文章

全文: PDF (2912 KB) HTML ( KB) 输出: BibTeX | EndNote (RIS) 背景资料

摘要河流相储层是一种重要的储层类型，寻找河道砂体是油气勘探的一项重要工作。但是河道变迁比较频繁，叠置比较严重，加之地震资料本身信噪比和分辨率的限制，河流相储层的精细描述至今仍存在一定的困难。本文以胜利油田老河口三维工区为例，首先研究了本区河流相储层的基本特征，发现该类储层剖面上呈强相位、切片上连续性好和频谱上呈低频特征；通过颜色处理和地震精细解释，发现本区河流相储层存在类串珠状特征，为了验证这一观测结果，我们用正演模拟分析了其形成机理，为在类似工区识别此类古河道找到了新的途径；应用多属性融合和RGB显示技术，河道下切特征更加明显，很好地彰显了河道结构特征，提高了河道识别能力；最后，我们研究并开发了多子波检测技术，检测出更多河流相弱反射信息。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	张军华
	刘振
	朱博华
	冯德永
	张明振
	张学芳

关键词：河道砂体弱反射信号类串珠状特征属性融合多子波解释技术

Abstract： Finding channel sandbodies is an important task in oil and gas exploration due to the importance of fl uvial reservoirs. It is diffi cult to describe fluvial reservoirs in detail owing to their frequent changes and serious intersections, as well as limitations of S/N ratio and seismic data resolution. Based on the Laohekou 3D data in Shengli Oilfi eld, we analyze the general characteristics of fluvial reservoirs in this area, from which we find that they are characterized by strong amplitudes on seismic profi les, high continuity on time slices, and low frequency in the frequency domain. In addition, a cluster of strong string-beadlike refl ections was found after color processing and detailed interpretation. To understand this observation, we conduct forward modeling to explain the mechanism. This provides a new way to identify ancient channels in similar areas. By using the multi-attribute fusion and RGB display techniques, channel incision is more obvious and the characteristics of the channel structures are manifested much better. Finally, we introduce and apply multi-wavelet detection technology to identify weaker fl uvial reservoir signals.

Key words： channel sandbody weak signal string-bead-like reflections attribute fusion multi- wavelet interpretation technology

收稿日期: 2011-03-02;

基金资助:

胜利油田科技攻关项目（编号YKW1002）资助

引用本文:

张军华,刘振,朱博华等. 河流相储层特征提取及识别技术研究——以老河口工区为例[J]. 应用地球物理, 2011, 8(3): 181-188.

ZHANG Jun-Hua,LIU Zhen,ZHU Bo-Hua et al. Fluvial reservoir characterization and identifi cation: A case study from Laohekou Oilfi eld[J]. APPLIED GEOPHYSICS, 2011, 8(3): 181-188.

[1]	Brown, A. R., 2001, Understanding seismic attributes: Geophysics, 66(1), 47-48.
[2]	毕俊凤, 刘书会, 陈学国等. 2003, 分频解释技术在桩106地区馆上段河道砂体描述中的应用:油气地质与采收率, 10(5), 38-40.
[3]	Greene, M., 2007, The discrete prolate spheroidal sequences and a series expansion for seismic wavelets: Geophysics, 72(6), V119-V132.
[4]	纪彤洲, 杨迎军, 李尚林. 2003, 相干体技术在河道预测中的应用. 石油物探, 42(3): 399-401.
[5]	Lilly, J. M., and Park, J., 1995, Multiwavelet spectral and polarization analysis of seismic records: Geophysical Journal International, 122 (3), 1001-1021.
[6]	Liu, J., and Marfurt, K., 2007, Multicolor display of spectral attributes: The Leading Edge, 26, 268-271.
[7]	Partyka, G., Gridley, J., and Lopez, J., 1999, Interpretational applications of spectral decomposition in reservoir characterization: The Leading Edge, 18(3), 353-360.
[8]	王伟, 2009, 地震几何属性识别断层技术研究及应用: 东营, 中国石油大学硕士论文.
[9]	王永刚, 乐友喜, 张军华. 2007, 地震属性分析技术: 东营,中国石油大学出版社.
[10]	张军华, 王月英, 赵勇等. 2004, 小波多分辨率相干数据体的提取及应用: 石油地球物理勘探, 39(1), 33-36.

[1]	刘致宁，宋承云，李志勇，蔡涵鹏，姚兴苗，胡光岷. 基于多地震属性融合分割的地质异常体三维模型构建[J]. 应用地球物理, 2016, 13(3): 519-528.
[2]	王兴建, 胡光岷, 曹俊兴. 多属性融合技术在苏14井区的应用研究[J]. 应用地球物理, 2010, 7(3): 257-264.
[3]	孙鲁平, 郑晓东, 李劲松, 首皓, 李艳东. 基于频率域峰值属性的河道砂体定量预测及应用[J]. 应用地球物理, 2010, 6(1): 10-17.
[4]	孙鲁平, 郑晓东, 李劲松, 首皓, 李艳东. 基于频率域峰值属性的河道砂体定量预测及应用[J]. 应用地球物理, 2010, 7(1): 10-17.