从而双参数反演方法可为地震勘探提供更多的岩性参数。
The inversion method can offer rich lithology parameters for seismic exploration.
本文针对深度域地震资料反演问题提出了神经网络数据驱动岩性参数反演方法。
In view of the issue of seismic data inversion in depth domain, the paper presented the method for inversion of lithologic parameters driven by neural network.
所以利用曲线拟合方法很容易实现全部地震岩性参数的反演，并可提取零偏移距剖面。
Consequently, with the use of curve fitting method, the inversion of all seismic lithologic parameters can be easy achieved, and zero-offset section can be obtained.
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