...岩性参数反演 各向异性系数 [gap=853]Keywords】: transversely isotropic medium; amplitude characteristic equation; lithology parameter inversion; anisotropic parameter ..
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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.
通过对广义线性算法的基础理论研究，分析这种算法在深度域岩性参数反演过程中的稳定性和可靠性。
The reliability and the stability of lithology parameter inversion method in depth domain is analysed by the studies of basic theory in generalized linear.
即从测井数据出发，在地震资料的控制下，通过逐次迭代，精确地反演岩性及厚层参数，有效地解决了反演的多解性问题。
Guided by seismic data, we use logging data to invert lithological parameters and bed thickness exactly by successive iteration, hence solving the problem of multi solution in inversion.
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