AVO与流体替换相结合识别深层Ⅰ类气藏

AVO combined with fluid replacement identifies deep gas reservoir of class Ⅰ

涂齐催 刘江 崔树果 霍凤斌

TU Qicui LIU Jiang CUI Shuguo HUO Fengbin

中海石油(中国)有限公司上海分公司研究院, 上海200030; 中国石化石油物探技术研究院, 江苏南京 210014

Institute of CNOOC Shanghai Ltd., Shanghai 200030, China; SINOPEC Geophysical Research Institute, Nanjing 210014, China

传统的"亮点"技术适合检测Ⅲ类AVO含气异常,对于中、深层含气砂岩表现出来的Ⅰ类AVO现象无法识别。利用AVO技术,结合流体替换,寻找差异,运用G属性体,可以有效识别深层Ⅰ类AVO含气砂岩,利用这种方法预测了某油气田a主力气藏的分布。预测结果得到B井证实。

The traditional bright spot technique is good to predict the Ⅲ AVO anomaly, but invalid when the deep gas sand has an A VO anomaly of class Ⅰ. Deep gas sand of class I can be effectively identified by G attribute volume by using AVO,combined with fluid replacement. Distribution of a gas reservoir in some oilfield was predicted by this way and the result was verified at last by the newly drilled well B.

https://doi.org/10.3969/j.issn.1008-2336.2011.02.025