子波反褶積 的英文怎麼說

中文拼音 [zibōfǎnxíjī]
子波反褶積 英文
wavelet deconvolution
  • 子 : 子Ⅰ名詞1 （兒子） son 2 （人的通稱） person 3 （古代特指有學問的男人） ancient title of respect f...
  • 波 : Ⅰ名詞1 （波浪） wave 2 [物理學] （振動傳播的過程） wave 3 （意外變化） an unexpected turn of even...
  • 反 : Ⅰ名詞1 （方向相背） reverse side 2 （造反） rebellion 3 （指反革命、反動派） counterrevolutionari...
  • 褶 : 名詞（褶子） pleat; crease; fold; wrinkle
  • 積 : Ⅰ動詞（積累） amass; store up; accumulate Ⅱ形容詞（長時間積累下來的） long standing; long pending...
  1. According to characteristics of the seismic data from the low snr region with complex surface, this paper is started from solving the static correction problem and reasonable eliminating all kinds of disturbance in the seismic data from the low snr region with complex surface. through the whole process of seismic data processing which includes a series of processing methods that are suitable for the low snr region, namely, from the choosing of the floating base - level, the static correction in the field and indoors, the eliminating of all kinds of noise before and after stacking, the velocity analysis with high - resolution, the reasonable techniques of deconvolution before stacking and wavelet processing after stacking, to the method choosing of the high - resolution stacking and the reasonable and accurate offset imaging, a set of the complete and effective flow for processing seismic data from the low snr region with complex surface are finally formed, which can meet the need of explo

    本文針對復雜地表低信噪比地區地震資料的特點，以解決復雜地表低信噪比地區地震資料靜校正問題及合理剔除各類干擾為出發點，在整個地震資料處理過程中，從浮動基準面的選取、野外及室內靜校正、疊前疊后各類噪音的去除、高精度速度分析、合理的疊前反褶積及疊后子波處理技術、到選用高精度的疊加技術及合理準確的偏移成像方法等一系列適合於復雜地表低信噪比地區的處理方法，最終形成一套較完整且有效的針對復雜地表低信噪比地區地震資料的處理流程。
  2. Application of wavelet deconvolution to seismic interpretation in tahe oilfield

    子波反褶積在塔河油田地震解釋中的應用
  3. The algorithm used in the past was usually based on fourier transform, but there are clearly limitations in the method, because the seismic amplitude spectrum that it evaluated is the function of time windows

    如果所選時窗過短，振幅譜會與變換窗函數褶積，失去頻率的局部化特徵，而且過短的時窗會使子波的旁瓣呈現為單一反射的假像。
  4. 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。反演外推採用精細地震解釋模型控制。演算法上，引用人工神經網路和模擬退火演算法。
  5. 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，設計並實現了應用於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。
  6. Based on the normal equation algorithm to fir system identification and wavelet iteration, a method to estimate the wavelet from the third - order cumulant of field data is developed. due to the fact that higher order cumulant retains the phase information of the signal, and can suppress the gaussian noise ( color or white noise ) naturally, we can improve the time resolution via inverse filtering the wavelet estimated

    本文在基於高階累積量的fir系統辨識基礎上，利用觀測信號的三階累積量對探地雷達子波進行估計，提出一種簡單的迭代演算法改善了波估計性能，據此進行反褶積，改善反射信號的信雜比和時間解析度。
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