振幅衰减法分频自动识别和压制异常能量道

英文篇名：Automatic Recognition and Suppression of Abnormal Energy Seismic Trace by Method for Amplitude Attenuation and Frequency Division
中文刊名：新疆石油地质
英文刊名：Xinjiang Petroleum Geology
作者：王在民 ; 朱江 ; 李磊 ; 蒋立 ; 谭佳
英文作者：WANG Zai-min1 ; ZHU Jiang2 ; LI Lei3 ; JIANG Li1 ; TAN Jia1(1.Institute of Geophysics ; Research Institute of Exploration and Development ; Xinjiang Oilfield Company ; PetroChina ; Urumqi ; Xinjiang 830013 ; China ; 2.International Exploration Business Department ; Dongfang Geophysics Company ; PetroChina ; Tianjin 300457 ; China ; 3.Luliang Operation District ; Xinjiang Oilfield Company ; PetroChina ; Karamay ; Xinjiang 834000 ; China)
中文关键词：异常能量 ; 振幅衰减 ; 识别 ; 信噪比
英文关键词：abnormal energy ; amplitude attenuation ; recognition ; signal-to-noise ratio
出版日期：2011-02-15
机构：中国石油新疆油田公司勘探开发研究院地球物理研究所;中国石油东方地球物理公司国际勘探事业部;中国石油新疆油田分公司陆梁油田作业区;
年：2011
期：01
出版单位：新疆石油地质

摘要

根据未作振幅补偿处理的异常能量道和正常地震道的振幅衰减曲线分析对比,发现消除面波影响的正常地震道的振幅衰减比异常能量道的大得多,可采用地震道结束和开始处的相同长度时窗内的平均绝对值振幅之比作为衡量振幅衰减的标尺来识别异常能量道。异常能量集中在某个频率及其附近,可对分频数据采用前述衡量振幅衰减的标尺来识别和剔除异常能量。近年来的地震资料处理表明:振幅衰减法分频自动识别和压制异常能量道的方法行之有效,对低信噪比地区采集的三维资料处理具有重要意义。
According to the comparison of amplitude attenuation curves between abnormal energy seismic tract and normal seismic tract without amplitude compensation,it is suggested that the amplitude attenuation of normal seismic trace after eliminating the influence of surface wave is much greater than the abnormal energy seismic trace.The latter can be recognized by means of average absolute value amplitude ratio within the same window length at the beginning and the end of seismic traces as the scale for the amplitude attenuation.When the abnormal energy concentrates at or near a frequency,it can be recognized and eliminated by the scale in frequency division data.The recent-year seismic data processing indicates that the automatic recognition and suppression of abnormal energy seismic trace by method for amplitude attenuation and frequency division is feasible and significant,especially for the processing of 3D seismic data acquired at low signal-to-noise ratio area.

引文

[1]王在民,朱鹏飞,于浩业,等.时频域自动识别与压制高频噪声[J].石油地球物理勘探,2006,41(1):93-96.
    [2]钱忠平,蔡希玲,赵波.一种自动识别和压制地震资料中高频噪声的方法[J].石油地球物理勘探,1997,32(3):318-326.
    [3]蔡希玲.声波和强能量干扰的分频自适应检测与压制方法[J].石油地球物理勘探,1999,34(4):373-380.
    [4]蒋立,王晓,木图拉.小波分频自适应检测与压制强能量干扰方法[J].天然气工业,2007,27(增刊A):245-247.
    [5]周绪文.反射波地震勘探方法[M].北京:石油工业出版社,1989:58.
    [6]牟永光.地震勘探资料数字处理方法[M].北京:石油工业出版社,1981:156.