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inversion in depth domain
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  “inversion in depth domain”译为未确定词的双语例句
     Multiwave Wavelet Study and Lithology Parameter Inversion in Depth Domain
     深度域多波子波研究及岩性参数反演
短句来源
     Multiwave wavelet and lithology parameter inversion in depth domain are investigated emphatically.
     本文的研究重点就是深度域地震子波及岩性参数反演两方面的内容。
短句来源
     Based on seismic data processing and lithology parameter inversion in time domain,and with the application of pre-stack depth migration,the advantages of seismic data processing in depth domain are becoming obvious increasingly. People begin to take into account lithology parameter inversion in depth domain.
     在时间域地震资料处理及岩性参数反演的基础上,随着深度域叠前深度偏移的实现,地震资料深度域处理的优势日趋明显,深度域岩性参数反演受到人们的广泛关注。
短句来源
     it is not only including P wave wavelet study and P wave lithology parameter inversion in depth domain but also including P-SV wave wavelet study and P-SV wave lithology parameter inversion in depth domain, Finally, in order to validate reliability and stability of the inversion method.
     因此,在论文中,研究内容包含深度域P波子波的研究和深度域P波岩性参数反演,以及深度域P-SV波子波的研究和深度域P-SV波岩性参数反演方法。 最后用理论和实际地震数据对反演方法的可靠性平和稳定性进行验证。
短句来源
     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.
     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。
短句来源
  相似匹配句对
     The third is inversion;
     第三是数据的解释以及反演。
短句来源
     On Inversion and Emphasis
     谈英语的倒装与强调
短句来源
     The Depth of Toleration
     宽容的深度
短句来源
     Z-Quasialgebraic Domain
     Z-拟代数Domain
短句来源
     On the “In-Depth-Report”
     浅谈“深度报道”
短句来源
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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. The inversion method is non-linear and is driven by data as well as don't need any determinate operator, among which the data-driven scheme is finished by structural-risk-minimized neural network. During the operation of inversion, the logging data and seismic data are usually taken as training samples, among which the seismic...

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. The inversion method is non-linear and is driven by data as well as don't need any determinate operator, among which the data-driven scheme is finished by structural-risk-minimized neural network. During the operation of inversion, the logging data and seismic data are usually taken as training samples, among which the seismic data in uphole receiver are taken as input and logging data as output, the inversion mapping relation transformed from seismic data to logging data is obtained when network learning is finished and the gained data are used for lithologic interpretation. The paper showed the effectiveness of the method by theoretic models and inversion cases of lithologic parameters of seismic prestack depth migration data.

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。该反演方法是非线性的,且由数据驱动,不需基于任何确定性算子,其中数据驱动方法由结构风险最小化神经网络实现。在反演运算过程中,通常将测井资料和地震记录作为训练样本,其中井旁道地震记录作为输入,测井资料作为输出,网络学习完成后,得到由地震记录转换为测井资料的反演映射关系,进而进行岩性解释。文中通过理论模型及叠前深度偏移地震资料的岩性参数反演实例,说明了方法的有效性。

 
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