Waveform Energy Focusing Tomography With Passive Seismic Sources

Abstract

By taking advantage of the information carried by the entire seismic wavefield, Full Waveform Inversion (FWI) is able to yield higher resolution subsurface velocity models than seismic traveltime tomography. However, FWI heavily relies on the knowledge of source information and good initial models, and could be easily trapped into local minima caused by cycle skipping issue because of its high nonlinearity. To mitigate these issues in FWI, we propose a novel method called Waveform Energy Focusing Tomography (WEFT) for passive seismic sources. Unlike conventional FWI, WEFT back-propagates the seismic records directly instead of the data residuals, and updates the velocity models by maximizing the stacking energy for all the moment tensor components from back-propagated wavefields around the sources. Therefore, except for source locations and origin times, WEFT does not require other source attributes in advance for the inversion. Since WEFT does not aim at fitting synthetic and observed waveforms, it has lower nonlinearity and is less prone to the cycle skipping issue compared to FWI. For the proof of concept, we have validated WEFT using several 2D synthetic tests to show it is less affected by inaccurate source locations and data noise. These advantages render WEFT more applicable for tomography using passive seismic sources when the source information is generally not accurately known. Although the inverted model from WEFT is inevitably influenced by the source distribution as well as its radiation patterns, and its resolution is likely lower than that of FWI, it can act as an intermediate step between traveltime tomography and FWI by providing a more reliable and accurate velocity model for the latter.

Securing Fast and High-Precision Localization for Shallow Underground Explosive Source: A Curiosity-Driven Deep Reinforcement Learning Approach

“…For example, Wang and Liang proposed a beam search-based phase association and source scanning method by incorporating the norm-grid search and the beam search technique together to associate seismic phases, and to determine the event location simultaneously [15]. A waveform energy focusing tomography was proposed in [16] for passive seismic sources. The authors in [17] and [18] studied the passive source location methods based on the geometric-mean RTM.…”

An Energy Focusing-Based Scanning and Localization Method for Shallow Underground Explosive Sources

“…They can not only avoid pickup errors caused by travel time with low SNR, but also make full use of waveform information to predict the source location by searching for the largest focus point both in space and time. Waveform stacking is the most widely used source localization method based on the signal waveform, including scattering stacking and interference stacking [8][9][10][11][12]. Existing research results show that localization uncertainty exists in both scattering and interference stacking, and this uncertainty is highly dependent on the frequency of vibration signals [13].…”