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陆相薄互层稠油油藏热采时移地震监测互均衡处理效果分析
引用本文:云美厚,丁伟,王开燕,杨晓燕,朱伟强.陆相薄互层稠油油藏热采时移地震监测互均衡处理效果分析[J].物探与化探,2006,30(5):435-440,445.
作者姓名:云美厚  丁伟  王开燕  杨晓燕  朱伟强
作者单位:1. 胜利石油管理局,地球物理勘探开发公司,山东,东营,257100
2. 大庆石油学院,黑龙江,大庆,163000
基金项目:国家自然科学基金;中国石油化工集团公司资助项目
摘    要:陆相储层稠油热采时移地震监测数据开展的互均衡处理结果表明,此项处理有利于有效时移地震异常的识别与热前缘位置的准确确定。当原始采集资料的一致性极差时,互均衡处理虽然可以改善资料的一致性,因此,提高野外采集震源子波和采集资料的一致性,是陆相薄互层油藏时移地震监测顺利实施的关键。振幅属性是陆相薄储层油藏时移地震监测的主要标志之一,笔者在振幅处理方面做了一些探索,取得一定效果。

关 键 词:时移地震  互均衡处理  陆相薄互层  稠油热采  一致性  振幅属性
文章编号:1000-8918(2006)05-0435-06
收稿时间:2005-09-19
修稿时间:2005-09-19

THE EFFECT OF CROSS-EQUALIZATION PROCESSING OF TIME-LAPSE SEISMIC MONITORING DATA FOR THERMAL RECOVERY OF HEAVY OIL IN CONTINENTAL THIN-INTERBEDDING RESERVOIR
YUN Mei-hou,DING Wei,WANG Kai-yan,YANG Xiao-yan,ZHU Wei-qiang.THE EFFECT OF CROSS-EQUALIZATION PROCESSING OF TIME-LAPSE SEISMIC MONITORING DATA FOR THERMAL RECOVERY OF HEAVY OIL IN CONTINENTAL THIN-INTERBEDDING RESERVOIR[J].Geophysical and Geochemical Exploration,2006,30(5):435-440,445.
Authors:YUN Mei-hou  DING Wei  WANG Kai-yan  YANG Xiao-yan  ZHU Wei-qiang
Institution:1. Geophysical Exploration and Development Corporation, Shengli Petroleum Administrative Bureau, Dongying 257100, China; 2. Daqing Petroleum Institute, Daqing 163000, China
Abstract:Till now, time-lapse seismic monitoring of continental thin-interbedding reservoir has not made a remarkable breakthrough, and hence the strengthening of the study and application of the time-lapse seismic method as well as the cross-equalization processing technique is of great significance. As a most effective method for improving the repeatability of time-lapse seismic data, the cross-equalization processing technique has been widely used with excellent results achieved. Through the cross-equalization processing of time-lapse seismic monitoring data obtained in the development of continental heavy oil thin-interbedding reservoir with the use of thermal recovery, it is shown that the cross-equalization processing is helpful to recognizing time-lapse seismic anomaly and determining the position of thermal front. Nevertheless, when the repeatability of original seismic data is very bad, such a processing can only improve the repeatability of time-lapse seismic data, but with no good seismic anomaly detected. The key to the successful performance of timelapse seismic monitoring for the continental thin-interbedding reservoir is the enhancement of the repeatability of seismic wavelets and seismic data. The amplitude attribute seems to be one of the major criteria for the thinner reservoir.
Keywords:time-lapse seismism  cross-equalization processing  continental thin-interbedding reservoir  heavy oil thermal recovery  con-sistency  amplitude attribute
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