|国家科技期刊平台
首页|期刊导航|Earthquake Science|An illustrated guide to:Parsimonious multi-scale full-waveform inversion

An illustrated guide to:Parsimonious multi-scale full-waveform inversionOA

中文摘要

Having been a seemingly unreachable ideal for decades,3-D full-waveform inversion applied to massive seismic datasets has become reality in recent years.Often achieving unprecedented resolution,it has provided new insight into the structure of the Earth,from the upper few metres of soil to the entire globe.Motivated by these successes,the technology is now being translated to medical ultrasound and non-destructive testing.Despite remarkable progress,the computational cost of fullwaveform inversion continues to be a major concern.It limits the amount of data that can be exploited,and it largely inhibits quantitative and comprehensive uncertainty analyses.These notes complement a presentation on recent developments in full-waveform inversion that are intended to reduce computational cost and assimilate more data,thereby improving tomographic resolution.The suite of strategies includes flexible and user-friendly spectral-element simulations,the design of wavefieldadapted meshes that harness prior information on wavefield geometry,dynamic mini-batch optimisation that naturally takes advantage of data redundancies,and collaborative multi-scale updating to jointly constrain crustal and mantle structure.

Andreas Fichtner;Solvi Thrastarson;Dirk-Philip van Herwaarden;Sebastian Noe;

Department of Earth Sciences,ETH Zürich,Zürich 8049,Switzerland

地质学

Earthmodelseismologyfull-waveforminversion

《Earthquake Science》 2024 (006)

P.574-583 / 10

support from the European Union’s Horizon 2020 research and innovation program through the ERC Starting Grant,entitled“The Collaborative Seismic Earth Model”(Grant No.714069);provided by the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No.955515(SPIN ITN);the ChEESE project(Folch et al.,2023);which secured funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No.823844。

10.1016/j.eqs.2024.07.004

评论