Proni滤波技术及其在油气预测中的应用
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摘要
鉴于 Proni变换在时域或频域中均具有较高的分辨率 ,同时能提供与油气有关的衰减参数。为此 ,本文在前人研究的基础上 ,结合理论模型的合成地震记录讨论了 Proni滤波的抗噪性和稳定性 ,并将 Proni滤波应用到实测地震数据的油气预测中。在进行 proni滤波时 ,有 3个滤波参数至关重要 ,即脉冲长度Δτ、频带宽度Δω和衰减因子Δα,Δτ、Δω和Δα的最佳值要经实验认定。实际应用结果表明 ,采用 Proni滤波对地震波高频吸收衰减的特性比较敏感 ,借此可以用来有效地预测地层的含油气性 ,预测成功率约为 70 %。
In view of higher resolution of Proni transform in time domain or frequency domain and providing attenuation parameters related to oil/gas at the same time,combining with synthetic seismogram of theoretical models,the paper discussed the noise-suppressed feature and stability of Proni filtering on the basis of the results studied by our predecessors and applied the Proni filtering to oil/gas prediction of field seismic data.There are three filtering parameters that are very important,that is pulse length Δτ,band width Δω and attenuation factor Δα,the optimum values of which are determined by experiments.The results of practical application showed that the Proni filtering is sensitive to attenuation by absorption of seismic wave in high frequency,by which the prediction of oil-bearing probability of bed can be effectively implemented,the successful rate of prediction is about 70%.
In view of higher resolution of Proni transform in time domain or frequency domain and providing attenuation parameters related to oil/gas at the same time,combining with synthetic seismogram of theoretical models,the paper discussed the noise-suppressed feature and stability of Proni filtering on the basis of the results studied by our predecessors and applied the Proni filtering to oil/gas prediction of field seismic data.There are three filtering parameters that are very important,that is pulse length Δτ,band width Δω and attenuation factor Δα,the optimum values of which are determined by experiments.The results of practical application showed that the Proni filtering is sensitive to attenuation by absorption of seismic wave in high frequency,by which the prediction of oil-bearing probability of bed can be effectively implemented,the successful rate of prediction is about 70%.
引文
[1] MarpleS L.DigitalSpectralAnalysis with applica-tions.Prentice-Hall,Inc,EnglewoodCliffs,N J,1987
[2] KovaljevV P andTelepnevG F.Method of implicitperiodicity in study of dynam ic problem s of seism icwaves[inRussian].Reports ofUkrainianAcademy ofSciences,1981.
[3] KovaljevV P,MadatovA G andMitrofanvG M.Com-plexConvolutionDecomposition(CCD) andNewPos-sibilities atDetailInvestigation ofAttenuation.Ab-stract ofPapersEAEG54 th- meeting,Paris,1992
[4] MitrofanovG M,HelleH B,KovajevV P andMada-tovA G.Complex seismic decom position- theoreticalaspects.Abstract ofPapersEAEG55 th- meeting,Sta-vanger,1993
[5] MitrofannovG M,ZhanZhitian andCaiJiam ing.U s-ing of theProniTransform inProcessing ofChinieseSeism icData.ExpandedAbtracts of68thSEG Meet-ing,1998
[6] MitrofanovG M,OrlovYuA,Rakhm enkulovaI FandKurdujkovaT V.Testing of theProni filting bym odel data.Abtract ofPapersEAEG 61st- meeting,Helsinki,1999
[2] KovaljevV P andTelepnevG F.Method of implicitperiodicity in study of dynam ic problem s of seism icwaves[inRussian].Reports ofUkrainianAcademy ofSciences,1981.
[3] KovaljevV P,MadatovA G andMitrofanvG M.Com-plexConvolutionDecomposition(CCD) andNewPos-sibilities atDetailInvestigation ofAttenuation.Ab-stract ofPapersEAEG54 th- meeting,Paris,1992
[4] MitrofanovG M,HelleH B,KovajevV P andMada-tovA G.Complex seismic decom position- theoreticalaspects.Abstract ofPapersEAEG55 th- meeting,Sta-vanger,1993
[5] MitrofannovG M,ZhanZhitian andCaiJiam ing.U s-ing of theProniTransform inProcessing ofChinieseSeism icData.ExpandedAbtracts of68thSEG Meet-ing,1998
[6] MitrofanovG M,OrlovYuA,Rakhm enkulovaI FandKurdujkovaT V.Testing of theProni filting bym odel data.Abtract ofPapersEAEG 61st- meeting,Helsinki,1999
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