地球物理学进展 ›› 2018, Vol. 33 ›› Issue (3): 1226-1231.doi: 10.6038/pg2018BB0259

• 应用地球物理学Ⅱ(海洋、工程、环境、仪器等) • 上一篇    下一篇

基于孔隙度差分频属性反演的高温高压气藏流体检测方法

李雷,马光克,刘巍,邓海东,张亮   

  1. 中海石油(中国)有限公司湛江分公司研究院,广东湛江 524057
  • 收稿日期:2017-07-12 修回日期:2018-04-10 出版日期:2018-06-20 发布日期:2018-08-23
  • 作者简介:第一作者简介 李雷,男,1989年生,湖北省荆州人,硕士,2015年中国地质大学(武汉)硕士研究生毕业,目前主要从事油气田勘探、开发储层预测等研究.(E-mail: lilei40@cnooc.com.cn)
  • 基金资助:
    “十三五”中海油综合科研项目“东方气田群高温高压天然气藏开发关键技术研究”(YXKY-2016-ZHJ-02)

Fluid detection of high-temperature and high-pressure gas reservoir by frequency division attribution inversion of porosity difference

LI Lei,MA Guang-ke,LIU Wei,DENG Hai-dong,ZHANG Liang   

  1. Research Institute of Zhanjiang Branch Company, CNOOC, Guangdong Zhanjiang 524057, China
  • Received:2017-07-12 Revised:2018-04-10 Online:2018-06-20 Published:2018-08-23

摘要:

经过多年的发展,目前对于常规气藏的流体检测方法已趋于成熟,形成了多套较完善的技术体系.但对于莺歌海盆地东方区高温高压气藏,研究区目的层段气层和水层均表现为“亮点”特征,岩石物理分析发现,常规弹性参数均无法区分气层与非气层.因此,针对莺歌海盆地东方区高温高压气藏的流体检测,叠后、叠前反演方法等常规烃检手段均失效.为此,笔者研究提出了一种高温高压气藏流体检测新方法,基于密度孔隙度与中子孔隙度的差值对含气的敏感指示,利用分频属性反演得到密度孔隙度与中子孔隙度的差值剖面.实现了在常规弹性参数无法区分气层和非气层的情况下有效识别和预测高温高压储层中的有效气层,在实际应用中取得了良好的效果.

关键词: 高温高压气藏, 孔隙度差, 分频属性反演, 岩石物理分析, 流体检测

Abstract:

After years of development, amount of achievements have been obtained in the research of fluid detection of conventional gas reservoir. However, the gas and water layers are bright in Yinggehai Barin of High-Temperature and High Pressure (HTHP) gas reservoir. And the rock physics analysis show that the conventional elastic parameters cannot identify the gas and non-gas layers. So, the conventional methods such as prestack inversion and poststack inversion are useless for the HTHP fluid detection in the Dongfang District of Yinggehai Basin. Thus, we propose a new method to detect fluid for HTHP gas reservoir. Based on the gas sensitivity of the difference of density porosity and neutron porosity, we achieved in identifying and predicting the valid gas layers in HTHP gas reservoir by the porosity difference profile which obtained by frequency division attributes inversion in the situation of that the gas and non-gas layers cannot be distinguished by conventional elastic parameters. The application results of real data verify the effectiveness of this method.

Key words: HTHP gas reservoir, porosity difference, frequency division attribute inversion, rock physics analysis, fluid detection

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