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Understanding seismic body waves retrieved from noise correlations : Toward a passive deep Earth imaging

Abstract : This work aims toward an improved understanding of the seismic signals derived from the inter-receiver correlation functions of seismic noise, which is valuable and critical for a reliable noise-based deep Earth imaging. The thesis consists of seven chapters. Chapter 1 introduces background knowledge on seismic noise, from its classifications to various origins. Chapter 2 provides a literature overview on the history and development of the emerging noise correlation method, and reviews various techniques for the pre-processing of seismic noise data and post-processing of noise correlation functions. Statistics-based noise processing methods and a modified scheme for computing correlation function are developed in this chapter. Chapter 3 proposes several Radon-based techniques to analyze the slownesses of correlated wavefields and to unveil the origin of noise-derived seismic signals. Chapter 4 shows that body waves penetrating into deep Earth can be extracted from noise correlations at teleseismic distances, with noise records from two regional seismic networks. Chapter 5 applies the techniques proposed in chapter 3 to the double-array nose correlations computed in chapter 4, and accordingly reveals the origin of an early spurious phase observed in chapter 4. Chapter 6 discusses several situations that bring ambiguities into the noise-derived seismic signals and can potentially bias the noise-based imaging of subsurface structure. The last chapter provides a summarization over the contributions of this thesis and an outlook of several ongoing and prospected works.
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Submitted on : Tuesday, November 20, 2018 - 9:43:06 AM
Last modification on : Sunday, May 1, 2022 - 3:35:58 AM


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  • HAL Id : tel-01927711, version 1



Lei Li. Understanding seismic body waves retrieved from noise correlations : Toward a passive deep Earth imaging. Earth Sciences. Université Grenoble Alpes, 2018. English. ⟨NNT : 2018GREAU023⟩. ⟨tel-01927711⟩



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