时移地震数据重复性度量及一致性分析方法
|
摘要
时移地震的可重复性高低是时移地震成功与否的关键,因此需要有效的时移地震数据重复性度量及一致性分析方法。这里首先分析了常用的时移地震数据重复性度量方法,即NRMS和PRED方法。经研究发现,PRED度量方法对地震数据的差异性并不敏感,因此提出了基于第三代相干分析的COHE度量方法,COHE方法比PRED方法对地震数据的差异性更为敏感。NRMS和COHE方法可以度量地震数据的重复性,但不能直接分析不一致性的影响因素,因此这里引入地震数据处理中的相关参数分析法,提出了基于相关函数的时移地震数据一致性分析方法,求取相关函数的特征参数,可以直观地分析时移地震数据在时间、振幅、相位和频率等方面的一致性,指导时移地震数据的处理,进行质量监控。
The repeatability level is the key for success of time-lapse,so we need measure of repeatability and method of consistency analysis.Here,we firstly analyze the conventional measure of repeatability, such as NRMS and PRED.By the research we found that PRED is not sensitive to static,phase,or amplitude differences(unlike NRMS).So we proposed a new COHE metrics based on the third generation coherent analysis method,which is more sensitive than PRED to the difference of seismic datasets.The metrics of NRMS and COHE can be used to measure the repeatability level of seismic data,but the factors of inconsistency can t be directly analyzed.So we introduce the analysis method of correlation parameter to monitor the consistency of time-lapse seismic data.We proposed a consistency analysis method of time-lapse seismic data based on correlation function.First we calculate the correlation function of seismic data,and then we can extract the characteristic parameters to analyze directly the consistency of time,amplitude,phase and frequency on time-lapse seismic data.This method can be used to guide the processing of seismic data and monitor the effect of processing.
The repeatability level is the key for success of time-lapse,so we need measure of repeatability and method of consistency analysis.Here,we firstly analyze the conventional measure of repeatability, such as NRMS and PRED.By the research we found that PRED is not sensitive to static,phase,or amplitude differences(unlike NRMS).So we proposed a new COHE metrics based on the third generation coherent analysis method,which is more sensitive than PRED to the difference of seismic datasets.The metrics of NRMS and COHE can be used to measure the repeatability level of seismic data,but the factors of inconsistency can t be directly analyzed.So we introduce the analysis method of correlation parameter to monitor the consistency of time-lapse seismic data.We proposed a consistency analysis method of time-lapse seismic data based on correlation function.First we calculate the correlation function of seismic data,and then we can extract the characteristic parameters to analyze directly the consistency of time,amplitude,phase and frequency on time-lapse seismic data.This method can be used to guide the processing of seismic data and monitor the effect of processing.
引文
[1]MORICE S,RONEN S,CANTER P,et al.The impact of positioning differences on 4D repeatability [M].Expanded Abstracts of 70~(th) SEG Mtg,2000.
[2]KRISTIANSEN P,CHRISTIE P.BOUSKA J,et al. Foinaven 4D:Processing and analysis of two designer 4Ds[M].Expanded Abstracts of 70th SEG Mtg, ??2000.
[3]WHITE R.Partial coherence matching of synthetic seismograms with seismic traces[J].Geophysical prospecting,1980,28(3):333.
[4]KRAGH E,CHRISTIE P,2000,Seismic repeatability, normalized rms,and predictability[J].The Leading Edge,2002(21):640.
[5]蔡希玲,刘树田,陈义景.自相关参数统计法—一种地震数据处理中有效的分析工具[J].信号处理,2000 (16):63.
[6]高少武,周兴元,蔡希玲,等.互相关特征参数分析法—一种叠前地震数据处理中有效的分析工具[J].石油物探,2003,42(1):9.
[7]张军华,臧胜涛,周振晓,等,地震资料信噪比定量计算及方法比较[J].石油地球物理勘探,2009,44(4): 481.
[8]怨书金,地震相干体技术的研究综述[J].勘探地球物理进展,2007,30(1):7.
[2]KRISTIANSEN P,CHRISTIE P.BOUSKA J,et al. Foinaven 4D:Processing and analysis of two designer 4Ds[M].Expanded Abstracts of 70th SEG Mtg, ??2000.
[3]WHITE R.Partial coherence matching of synthetic seismograms with seismic traces[J].Geophysical prospecting,1980,28(3):333.
[4]KRAGH E,CHRISTIE P,2000,Seismic repeatability, normalized rms,and predictability[J].The Leading Edge,2002(21):640.
[5]蔡希玲,刘树田,陈义景.自相关参数统计法—一种地震数据处理中有效的分析工具[J].信号处理,2000 (16):63.
[6]高少武,周兴元,蔡希玲,等.互相关特征参数分析法—一种叠前地震数据处理中有效的分析工具[J].石油物探,2003,42(1):9.
[7]张军华,臧胜涛,周振晓,等,地震资料信噪比定量计算及方法比较[J].石油地球物理勘探,2009,44(4): 481.
[8]怨书金,地震相干体技术的研究综述[J].勘探地球物理进展,2007,30(1):7.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心