多子波分解与重构技术在阿尔及利亚TKT—NGS油田储层描述中的应用

被引:11
作者
代双和 [1 ]
陈志刚 [2 ]
于京波 [2 ]
谢结来 [2 ]
毛凤军 [3 ]
韦添昌 [4 ]
李永保 [5 ]
机构
[1] 北京大学地球与空间科学学院
[2] 东方地球物理公司研究院地质研究中心
[3] 中国石油勘探开发研究院
[4] 西南石油局云南物探公司科研所
[5] 川庆钻探工程有限公司地质勘探开发研究院
关键词
多子波分解与重构; 储层描述; 非均质性; 地震反演;
D O I
10.13810/j.cnki.issn.1000-7210.2011.01.026
中图分类号
P631.4 [地震勘探];
学科分类号
0818 ; 081801 ; 081802 ;
摘要
位于阿尔及利亚OUED MYA盆地东北部TKT—NGS区的油田为构造—岩性油气藏,主要目的层Si油层为辫状河沉积,砂体厚度薄、横向非均质性强。本文针对该区的地质结构特点,应用多子波分解与重构技术描述了该区油层分布,预测了油藏的含油范围。总结出应用多子波分解与重构技术进行油层解释的步骤为:①对地震数据进行多子波地震道分解;②筛选合成更有利于直接油层解释的新的地震道集;③计算地震波频率衰减系数道集;④提取地震分量,并根据钻井获得的油层资料,筛选出对直接油层解释更有效的地震分量。应用结果表明,该技术用于油层解释的效果较好。
引用
收藏
页码:103 / 109+164+172 +164
页数:10
相关论文
共 8 条
[1]  
Reservoir characterization usingfeedforward neural networks. An P,Moon W M. SEG Technical Pro-gram Expanded Abstract . 1993
[2]  
Case studies on oil and water wells separation and gas sand prediction in a coal formation using wavelet selection and volume-based seismic waveform decomposition. An P. 78th Annual International Meeting, SEG, Expanded Abstracts . 2008
[3]  
Reservoir characterization using seismic wave-form and feedforward neural networks. An P. Geophysics . 2001
[4]  
The effect of randomnoiseinlateral reservoir char-acterization usingfeedforward neural networks. An P. SEG Tech-nical Program Expanded Abstract . 1994
[5]  
Application of fuzzy set theory forintegrating geological and geophysical information. An P,Moon W M. SEG Technical Program Expanded Abstract . 1990
[6]  
Application of multi-wavelet seismic trace decomposition and reconstruction to seismic data interpretation and reservoir characterization. An P. 76th Annual International Meeting, SEG, Expanded Abstracts . 2006
[7]  
Comparison of wavelet selection and band - pass filtering for noise removal for seismic data processing. An,P. SEG Las Vegas 2008 Annual meeting .
[8]  
Case studies on stratigraphic interpretation andsand mapping using volume-based seismic waveformdecomposition. An P. SEG Technical Program ExpandedAbstract . 2006