论文部分内容阅读
文章利用叠前逆时偏移获得了共震源连井数据的地下成像。这个算法包括记录波场的外推,激发—时间成像条件应用,以及对最终成像作最后低通波数滤波处理这三部分。波数滤波可消除与直达波至有关的人为噪声,这种人为噪声在偏移前是不可能从散射数据中分离出来的。因为在连井剖面中,它们在时间、空间及波数方面都与信号重叠在一起合成数据偏移能产生最可能的结果,比例模型数据的偏移成像也并不差。显然,假如震源设置得足够
The article uses the prestack inverse time migration to obtain the co-seismic source well data of underground imaging. This algorithm includes the extrapolation of the recorded wavefield, the application of excitation-time imaging conditions, and the final low-pass wave filtering of the final image. Wavelet filtering eliminates artifacts associated with direct waves, which can not be separated from the scatter data before they are offset. Because in a continuous well section they overlap with the signal in terms of time, space and wavenumber, the resultant data offsets produce the most probable result, and the offset imaging of the scale model data is not bad either. Obviously, if the source is set enough