Therefore , the authors believe that the seismic convolution model proposed in the paper is useful in the impedance inversion of seismic data 實際的資料處理表明含透射衰減的褶積模型有較好的應用價值。
Seismic data processing practices demonstrate that the seismic convolution model can be used to correct transmission attenuation component by means of impedance inversion , with the merit of avoiding the screen effect of strata 采用含透射衰減的褶積模型做正演運算,能夠校正地層透射對波阻抗反演結果的影響,尤其能夠消除地層的遮罩現象。
To investigate the influence of transmission attenuation of seismic waves in a layer - cake model , the authors formulated a seismic convolution model by considering the coefficient of transmission attenuation , and then provided a new forward algorithm for the model - based seismic inversion of impedance 摘要研究了地震波在層狀地質模型內透射衰減對地震反射信號振幅的影響,給出了含透射衰減的褶積模型,為基于模型的波阻抗反演提供了一種新的正演方法。
Our method is based on non - linear convolution model and uses artificial nervous net algorithm and simulated annealing algorithm , introducing the acoustic impedance as condition of constrained solution to avoid the hypothesis of wavelet or reflection coefficient in common seismic inversion , and adopting the control of fine seismic interpretation model in extrapolation 反演方法以非線性褶積模型為基礎,引入井旁聲阻抗作為解的適定性的約束條件,避開一般地震反演對地震子波及反射系數的假設。反演外推采用精細地震解釋模型控制。算法上,引用人工神經網絡和模擬退火算法。
According to the seismic convolution model , a kind of matched filters in time - scale domain is designed for echo signal detection of ground penetrating radar ( gpr ) and implemented in this paper , which is applied to detect the location and amplitude of single reflection wavelet in receiving signal through continuous wavelet transform 摘要根據地震褶積模型,設計并實現了應用于探地雷達回波信號檢測的時間尺度域匹配濾波器,利用小波變換的時間定位性和尺度伸縮性,檢測出雷達接收信號中單個反射子波的位置與強弱信息,利用已知的雷達發射子波模型還原回波信號,達到了濾除噪聲、最佳接收的目的。
Because the synthetic seismic record and the seismic record data got in the surface are not well matching caused by the dispersion of seismic wave , frequent correction between them must be done before use . under control of well logging data , there are two important methods to get wave impedance from seismic data inversion : wave impedance inversion method based on convolution model and wave impedance inversion method based on wave equation . using seismic data attributes can predict the information of logs 測井資料和地震資料是地震勘探中兩種最重要的資料,由于地震波的頻散,使合成地震記錄與地面地震記錄不能完全匹配,因此使用之前必須對二者進行頻率校正地震資料在測井資料約束下可以進行反演,以求取地下波阻抗,主要有兩種方法:基于褶積模型的波阻抗反演方法和基于波動方程的波阻抗反演方法可以用多屬性變換由地震資料預測測井信息。