基于人工神经网络的地震射线追踪方法

Trofimuk Readings - 2021: Proceedings of the All-Russian Youth Scientific Conference with the Participation of Foreign Scientists Pub Date : 1900-01-01 DOI:10.25205/978-5-4437-1251-2-87-90

N. N. Shilov, S. Grubas, A. Duchkov

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引用次数: 0

摘要

在这项工作中，我们研究了利用人工神经网络和传统有限差分计算的基于地震走时场(即eikonal方程的解)的地震射线追踪的潜力。在一系列的数值试验中，我们表明基于网络的eikonal求解器比有限差分法需要更少的密集计算网格。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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SEISMIC RAY TRACING USING ANN-BASED EIKONAL SOLVER

In this work we investigate the potential of seismic ray tracing based on the seismic travel-time field (i.e., solution of the eikonal equation) computed using artificial neural networks and conventional finite-differences. In a series of numerical tests, we show that the network-based eikonal solver requires considerably less dense computational grid than the finite-difference method.

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Trofimuk Readings - 2021: Proceedings of the All-Russian Youth Scientific Conference with the Participation of Foreign Scientists

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