Microseismic Location Error Due to Eikonal Traveltime Calculation

Author:

Alexandrov DmitryORCID,Waheed Umair bin,Eisner LeoORCID

Abstract

The accuracy of computed traveltimes in a velocity model plays a crucial role in localization of microseismic events. The conventional approach usually utilizes robust fast sweeping or fast marching methods to solve the eikonal equation numerically with a finite-difference scheme. These methods introduce traveltime errors that strongly depend on the direction of wave propagation. Such error results in moveout changes of the computed traveltimes and introduces significant location bias. The issue can be addressed by using a finite-difference scheme to solve the factored eikonal equation. This equation yields significantly more accurate traveltimes and therefore reduces location error, though the traveltimes computed with the factored eikonal equation still contain small errors with systematic bias. Alternatively, the traveltimes can be computed using a physics-informed neural network solver, which yields more randomized traveltimes and resulting location errors.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Traveltime-based microseismic event location using artificial neural network;Frontiers in Earth Science;2022-10-25

2. Accuracy analysis of borehole observation microseismic location based on time reverse imaging;CHINESE J GEOPHYS-CH;2022

3. Microseismic event location using artificial neural networks;First International Meeting for Applied Geoscience & Energy Expanded Abstracts;2021-09-01

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