wavelet deconvolution 中文意思是什麼

wavelet deconvolution 解釋
子波反褶積
  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. Multi - channel deconvolution, based on multi - channel signal analysis, is presented to recover receiver function from three - component teleseismic p waveforms clustered within certain backazimuth and epicenter distance, to increase the resolution of receiver function. wavelet inversion is also introduced to broadband receiver function, to solve for nonuniqueness cased by linear approximation of nonlinear problem, and broadband receiver function is decomposed into multi - resolution versions, and the inversion result for the low - resolution version is iteratively taken as the initial model for the high - resolution, and gradually obtain the inversion model for broadband receiver function

    為克服廣義線性反演對初始模型的依賴性,並保持其快速收斂的特點,本文首次將小波變換引入到接收函數波形反演,將接收函數分解到不同的分辨尺度上,分別進行廣義線性反演,並將低解析度的反演結果作為高解析度反演的初始模型,漸近地獲取寬頻帶接收函數的模型,克服了非線性問題線性化帶來的非唯一性。
  3. By means of the wavelet transformation the deconvolution is done in the time domain. the dispersive properties of the elastic wave within the impacts acted are analyzed, and with the nonlinear optimization method concerned the impact location is identified

    利用小波變換作時域內的解卷積計算,分析了結構在沖擊載荷作用下的彈性波的散射特性,結合非線性優化方法實現了載荷沖擊位置的識別。
  4. 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
  5. In this paper, deconvolution and linearized inversion of receiver function are improved ; multi - channel deconvolution and wavelet inversion are developed for receiver function. the elastic wave motion equation is applied in the simulation and migration of receiver function in lateral inhomogeneous media, multi - grid algorithm is introduced in numerical modeling of elastic wave motion equation, and phase - delay boundary condition is also provided to absorb boundary reflection

    在此基礎上,重點研究和發展了橫向非均勻介質中,基於波動方程的數值模擬與偏移成像方法,首次將多重網格演算法引入到彈性波方程的數值模擬和接收函數的偏移成像,還發展了一種延遲邊界方法,以消除人為邊界反射的影響。
分享友人