摘要
常规地震资料由于频带较窄,分辨率较低,难以有效识别和描述储层信息,拓展地震资料的频带宽度,提高地震分辨率,对于油气田的开发具有重要的作用。相对于高频成分,数据中的低频信息缺失会导致地震剖面上出现虚假的高分辨率现象。传统的拓频方法仅处理了子波,而没有考虑到子波结构的变化。利用近年来兴起的压缩感知算法对地震数据进行全频带拟合,并将结果中的低频部分补偿到地震数据中,然后再将拓频后的地震数据做波阻抗反演。结果表明,拓频后的反演波阻抗剖面与井更吻合,分辨率更高,说明该方法有较好的发展潜力。
Because of the narrow frequency band and low resolution of conventional seismic data, it is difficult to effectively identify and describe the reservoir information. Expanding the frequency bandwidth of the seismic data and improving the resolution of seismic data play an important role in oilfield development. Compared with the high frequency component, the lack of low frequency information in the seismic data will cause false high resolution phenomenon on the seismic profile. The wavelets just are processed by the traditional frequency expansion method without considering the variation of wavelet structure. The compression sensing algorithm developed in recent years is used to fit the seismic data in full frequency band, and the low-frequency part of the result is compensated to the seismic data, the wave impedance inversion of the seismic data after frequency extension is done. The results show that the wave impedance profile of the inversion is more consistent with the well information and higher resolution after the frequency expansion is done, which indicates that the method has better development potential.
引文
[1]Baeten,G.,de Maag,J.W.,Plessix,R.E.,Klaassen,R.,Qureshi,T.,Kleemeyer,M.,ten Kroode,F.,and Zhang R.J.,2013,The use of low frequency in a full-waveform inversion and impedance inversion land seismic case study:Geophysical Prospecting,61(4),701-711.
[2]Kallweit,R.S.,Wood,L.C.,1982,The limits of resolution of zero-phase wavelets:Geophysics,47(7),1035-1046.
[3]Ziolkowski,A.,Hanssen,P.,Gatliff R.,Jakubowicz,H.,Dobson,A.,Hampson,G.,Li,X.Y.,and Liu E.R.,2003,Use of low frequencies for sub-basalt imaging:Geophysical Prospecting,51(3),169-182.
[4]Castagna,J.P.,Sun,S.J.,and Siegfried,R.W.,2003,Instaneous spectral analysis:Detection of low-frequency shadows associated with hydrocarbons:The Leading Edge,59(8),1207-1223.
[5]李曦宁.基于声波测井的地震拓频方法研究[D].浙江大学,2013.
[6]Hale D.Q-adaptive deconvolution[J].Seg Technical Program Expanded Abstracts,1982,1(1):520.
[7]韩立国,张莹,韩利等.基于压缩感知和稀疏反演的地震数据低频补偿[J].吉林大学学报(地球科学版),2012,57(s3):259-264.