地震记录中工业电干扰噪声识别与压制.pdf

2012年10月
大庆石油地质与开发
Oet.,2012
第31卷第5期
Petroleum Geology and Oilfield Development in Daqing
Vol. 31 No. 5
DO:10.3969/J.ISSN.1000-3754.2012.05.035
地震记录中工业电干扰噪声识别与压制
李慧王依川2张春堂吴清岭
(1.大庆油田有限责任公司勘探开发研究院,黑龙江大庆163712;2.中国矿业大学地球科学与测绘工程学院,北京100083
摘要:在工业化采油区中,油井和工业电网产生的50Hz工业电干扰对地震资料成像有较大影响。在综合研究
50Hz工业电干扰压制技术的基础上,利用工业电的特性探索了一套高精度自适应压制技术。实际地震资料处理
效果表明,采用该方法压制50Hz工业电干扰的效果较好,既保持了地震波的动力学和运动学特征,也提高了地
震资料的信噪比,保真度高且节约处理成本。
关键词:工业电干扰;自适应;压制;信噪比;保真度
中图分类号:P631
文献标识码:A
文章编号:10003754(2012)05-0170-05
RECOGNITION AND DEPRESSION OF THE INTERFERING NOISE OF
THE INDUSTRIAL ELECTRICITY IN SEISMIC RECORD
LI Hui, WANG Yichuan, ZHANG Chuntang WU Qingling
(1. Exploration and Deuelopment Research Institute of Daqing Oilfield Company Ltd
Daging 163712, China; 2. Well Logging Company of Daging Drilling
and Exploration Engineering Company, Beijing 100083, China
Abstract: In the industrialized oil production blocks, the interfering waves of 50HZ industrial electricity generated
from the oil producers and industrial electricity network will seriously influence the imaging of seismic data. On the
basis of the combined study of the depressing technique of the above interference, by means of the characteristics of
the industrial electricity, a set of high-precision adaptive depressing technique is explored and developed. The pro
cessed effects of the actual seismic data show that the depressing effects of the method are much better: can not only
maintain the dynamic and kinematic characteristics of the seismic waves, but also enhance the signal-to-noise ratio
of the seismic data, and furthermore the high-fidelity can save the process cost
Key words: industrial electricity interference; auto-adaptive; depression; signal-to-noise ratio; fidelity
在工业化油田中,随着勘探程度的加深,已经噪比和保真度,无法满足目前岩性勘探对振幅
由构造勘探转为岩性勘探,而这些采油区内的高保真的需求。地震资料处理针对工业电干扰波通
高压输电线和采油设备分布密集,产生较强的常采用频率域陷波、检波点域分离、余弦逼近等方
50Hz工业电干扰波,严重影响了勘探目的层的信法进行压制。频率域陷波法简单易行,但损伤有效
收稿日期:201203-20改回日期:201206-25
基金项目:国家油气重大专项课题(20087X05007-03)和博土学科点专项基金项目(2000020002)。
作者简介:李慧,女,1974年生,工程师,从事地震资料处理与方法研究。
E-mail:lihol(@petrochina.com.cn