石油学报 ›› 2013, Vol. 34 ›› Issue (3): 502-506.DOI: 10.7623/syxb201303011

• 地质勘探 • 上一篇    下一篇

基于地震子波衰减谱的碳酸盐岩烃类检测方法

孙勤华, 张虎权, 代冬冬, 杨丽莎   

  1. 中国石油勘探开发研究院西北分院 甘肃兰州 730020
  • 收稿日期:2012-12-17 修回日期:2013-03-16 出版日期:2013-05-25 发布日期:2013-04-09
  • 通讯作者: 孙勤华
  • 作者简介:孙勤华,男,1980年12月生,2005年毕业于江汉石油学院,现为中国石油勘探开发研究院西北分院工程师,主要从事地震储层预测方法研究。Email:sun_qh@petrochina.com.cn
  • 基金资助:

    中国石油天然气股份有限公司重大科技专项(2008E-0702)资助。

Hydrocarbon detection of carbonate reservoirs based on seismic wavelet attenuation spectrum

SUN Qinhua, ZHANG Huquan, DAI Dongdong, YANG Lisha   

  1. Research Institute of Petroleum Exploration & Development, PetroChina Northwest Branch, Lanzhou 730020, China
  • Received:2012-12-17 Revised:2013-03-16 Online:2013-05-25 Published:2013-04-09

摘要:

针对碳酸盐岩储层,根据含油气地层对地震波高频成分吸收增强、吸收系数增大的原理,提出了基于地震子波衰减谱的烃类检测技术。该技术在对地震资料进行去噪的基础上,应用复倒谱匹配法分别求取目的层上、下沿层时窗内的地震子波谱,进而求取上下时窗地震子波衰减谱。通过衰减谱进行碳酸盐岩储层烃类检测。在Y2井区碳酸盐岩储层的实际应用中,与基于目的层的烃类检测技术相比较,该技术敏感性较高,能够有效地预测碳酸盐岩储层的油气分布,对井位部署和油气增储上产具有指导作用。

关键词: 地震子波衰减谱, 复倒谱匹配法, 烃类检测, 碳酸盐岩, 油气分布

Abstract:

Moving through hydrocarbon formations, seismic wave may result in energy attenuation and high frequency loss for the sake of imperfect elasticity. A new hydrocarbon detection technique was presented based on a theory of this energy attenuation and high frequency loss. A wavelet spectrum of each trace from a horizon consistent time window both above and below the zone of interest was estimated by cepstrum matching after reducing noise of seismic data. Then attenuation spectrum of windows above and below the zone of interest was estimated by the wavelet spectrum. This attenuation spectrum can be used to detect hydrocarbons in carbonate reservoirs. This technique was applied to carbonate reservoirs in the Y2 well region. Compared with the hydrocarbon detection based on seismic data of interest beds, this hydrocarbon detection technique has more sensitivity and accuracy in hydrocarbon detection of carbonate reservoirs, which helps to geometrically arrange wells and increase the production and revise of hydrocarbons.

Key words: seismic-wavelet attenuation spectrum, cepstrum matching, hydrocarbon detection, carbonate, hydrocarbon distribution

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