Prestack叠前
Prestack -- 所谓的叠前属性可以用来提取道集和其amplitudes的统计值，或者提取AVO属性。
所谓的prestack attribute需要叠前数据作为输入数据，最后输出post-stack data。
叠前处理是用于道集的，像进行mute处理和自动增益处理。
对于音频操作有研究的就知道了。
The data is extracted in the offset range [500, 3000] m and sorted per CDP and depth sample.
For each CDP and depth a crossplot of amplitude vs. square root of the offset is made.
A least square regression is computed.
The intercept value is returned.
The above list of statistics can be returned.
The option count provides the fold of each bin, while average or RMS may be used to generate full or partial stacks .
Least Square : The Least-Square calculation type is cross-plotting the extracted amplitudes, computing a least-square regression and returning one of its property.Before the crossplot the amplitudes can be transformed using the following axis transformation (left hand-side):
