叠前反褶积 meaning in English
deconvolution before stack
Examples
- The clues and techniques to improve the resolution of data processing are 1 ) removing the affection of near surface factors on data acquisition , including static correction and noise eliminating technique etc , 2 ) broadening the frequency band of pre - stack seismic data , including amplitude compensation and pre - stack deconvolution etc , 3 ) improving s / n ratio of high frequency and weak reflection signals through multiple coverage with high precision velocity analysis , residual static correction and high - order nmo , raising " dead line of high frequency reflection " , and 4 ) identifying post stack effective reflection frequency band , enhancing dominant frequency and so on
主要包括：消除近地表因素对资料采集的影响，包括静校正和噪音压制技术等；叠前拓宽地震资料领带，包括振幅补偿和叠前反褶积技术等；借助高精度速度分析、剩余静校正和高次项nmo技术，通过多次覆盖叠加，消除资料中随机噪声干扰、提高资料信噪比，尤其是高频端反射信息的信噪比，改善高频反射和弱反射信号信噪比，提高“高频反射死亡线” ；叠后有限反射颇带识别、抬高优势频率等。 - 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
本文针对复杂地表低信噪比地区地震资料的特点，以解决复杂地表低信噪比地区地震资料静校正问题及合理剔除各类干扰为出发点，在整个地震资料处理过程中，从浮动基准面的选取、野外及室内静校正、叠前叠后各类噪音的去除、高精度速度分析、合理的叠前反褶积及叠后子波处理技术、到选用高精度的叠加技术及合理准确的偏移成像方法等一系列适合于复杂地表低信噪比地区的处理方法，最终形成一套较完整且有效的针对复杂地表低信噪比地区地震资料的处理流程。