解褶積 的英文怎麼說
中文拼音 [jiěxíjī]
解褶積
英文
deconvolution-
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。The main influence factor of seismic vertical resolution is very complex, manufacture and scientific research is main care the vertical resolution. besides of the noise, the vertical resolution is depend on the wavelength, we can enhance it through improve the shot condition and deconverlution
而影響縱向解析度的因素比較復雜，也是生產和科研比較關心的問題，除去干擾等因素，縱向解析度主要取決于波長，可以通過改善野外激發條件和反褶積來解決。In this paper, the authors used different gliding windows to perform euler deconvolution on magnetic profile data or 2 - d model, probed into the relationship between structure indices and solutions and the method for eliminating the poor solution on 2 - d model by mathematical statistics
摘要為了利用歐拉反褶積進行快速計算，提出了多個大小不同的滑動窗口進行多次覆蓋的演算法，對高精度磁測剖面逐點反復計算，並根據統計學原理從大量計算結果中剔除壞解，保留合理的解；還根據2 - d模型討論了結構指數與歐拉反褶積的結果的關系。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Ground penetrating radar or georadar, is a new no destroying detection instrument with rapidly developing in recent years. it is applied to engineering, environment, archaeology and other aspects. data processing ' s theories and methods are one of the key aspects in gpr researching, because these are useful to picking up parameters in reflection wave including amplitude, phase, frequency and so on
數據處理（包括濾波、反褶積、偏移等）是gpr的研究重點之一，其目的是壓制隨機的不規則的干擾波，以最大可能的解析度在探地雷達剖面上顯示反射波，提取反射波的各種有用參數（振幅、相位、頻率等）來幫助解釋。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。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。分享友人