• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Modeling Land Seismic Exploration Random Noise in a Weakly Heterogeneous Medium and the Application to the Training Set
【24h】

Modeling Land Seismic Exploration Random Noise in a Weakly Heterogeneous Medium and the Application to the Training Set

机译：造型土地地震勘探随机噪声在弱异构介质中和应用于训练集

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In seismic exploration, random noise is an obstacle to the extraction of the effective signals, so the investigation aimed at random noise is the basis of signal processing. It is of great significance to analyze the noise properties and establish accurate noise models. Since the complex changes of the actual medium seriously affect propagation characteristics, it is necessary to establish a noise model in a more realistic medium. In this letter, we suppose a weakly heterogeneous medium whose properties vary with the position. And the link between the Lam constants of the medium and noise properties is established. Therefore, a wave equation is deduced in that medium to describe the propagation law of desert seismic exploration random noise. Based on the Greens function, the random noise field is obtained by superimposing all wave fields excited by each pointlike source. Afterward, quantitative comparisons between the actual random noise and the proposed random noise model are given. The results manifest that there are significant similarities in mathematical characteristics between them. Moreover, compared with the noise model in the homogeneous medium, the proposed noise model is more reliable. In order to prove the application value of the random noise model, it is first applied to construct a complete training set for denoising convolutional neural networks, which is valuable for attenuating the desert seismic exploration random noise. This is an effective way to extend noise data. Consequently, this feasible application will strongly promote the application of neural networks in seismic exploration.
机译：在地震勘探中，随机噪声是对有效信号提取的障碍，因此在随机噪声的研究是信号处理的基础。分析噪声性能并建立精确的噪声模型是具有重要意义。由于实际介质的复杂变化严重影响传播特性，因此必须在更现实的媒体中建立噪声模型。在这封信中，我们假设一个弱异构的介质，其特性随着位置而变化。建立介质和噪声属性的LAM常数之间的链路。因此，在该媒体中推导出波动方程来描述沙漠地震勘探随机噪声的传播规律。基于Greens函数，通过叠加由每个点状源激发的所有波场获得随机噪声场。之后，给出了实际随机噪声与所提出的随机噪声模型之间的定量比较。结果表明，它们之间的数学特征存在显着相似之处。此外，与均匀介质中的噪声模型相比，所提出的噪声模型更可靠。为了证明随机噪声模型的应用值，首先应用于构建用于去噪的全部训练，用于去噪卷积神经网络，这对于减少沙漠地震勘探随机噪声是有价值的。这是扩展噪声数据的有效方法。因此，这种可行的应用将强烈促进神经网络在地震勘探中的应用。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号