Journal Article10.1093/GJI/GGAA333
Target-oriented full-waveform inversion using Marchenko redatumed wavefields
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TL;DR: In this article, a target-oriented full-waveform inversion (FWI) method is proposed for high-resolution imaging of subsurface targets at depth, which is based on the convolution-type representation theorem.
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Abstract:
Full-waveform inversion (FWI) has demonstrated increasing success in estimating medium properties, but its computational cost still poses challenges in moving towards high-resolution imaging of targets at depth. Here, we propose a target-oriented FWI method that inverts for the medium parameters confined within an arbitrary region of interest. Our method is novel in terms of both local wavefield modelling and data redatuming, in order to build a target-oriented objective function which is sensitive to the target medium only without further assumptions about the medium outside. Based on the convolution-type representation theorem, our local forward modelling operator propagates wavefields within the target medium only while providing full acoustic coupling between the target medium and the surrounding geology. A key requirement of our local FWI method is that the subsurface wavefields surrounding and inside the target be as accurate as possible. As such, the subsurface wavefields are retrieved by the Marchenko method, which can redatum the single-sided surface reflection data to the target zone while preserving both primary and multiple reflections, with minimal a priori knowledge of the full-domain medium. Given a sufficiently accurate initial velocity macromodel, our numerical examples show that our local FWI method resolves the reservoir zone of a 2-D Barrett Unconventional P-wave velocity model much more efficiently than the conventional full-domain FWI without significantly sacrificing accuracy. Our method may further enable FWI approaches to high-resolution imaging of subsurface targets.
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Citations
Seismic interferometry by crosscorrelation and by multidimensional deconvolution: a systematic comparison
C.P.A. Wapenaar,J.R. Van der Neut,Elmer Ruigrok,Deyan Draganov,Jürg Hunziker,Evert Slob,Jan Thorbecke,Roel Snieder +7 more
- 01 May 2010
Abstract: SUMMARY Seismic interferometry, also known as Green’s function retrieval by crosscorrelation, has a wide range of applications, ranging from surface wave tomography using ambient noise, to creating virtual sources for improved reflection seismology. Despite its successful applications, the crosscorrelation approach also has its limitations. The main underlying assumptions are that the medium is lossless and that the wave field is equipartitioned. These assumptions are in practice often violated: the medium of interest is often illuminated from one side only, the sources may be irregularly distributed, and, particularly for EM applications, losses may be significant. These limitations may partly be overcome by reformulating seismic interferometry as a multidimensional deconvolution (MDD) process. We present a systematic analysis of seismic interferometry by crosscorrelation and by MDD. We show that for the non-ideal situations mentioned above, the correlation function is proportional to a Green’s function with a blurred source. The source blurring is quantified by a so-called point-spread function which, like the correlation function, can be derived from the observed data (i.e., without the need to know the sources and the medium). The source of the Green’s function obtained by the correlation method can be deblurred by deconvolving the correlation function for the point-spread function. This is the essence of seismic interferometry by MDD. We illustrate the crosscorrelation and MDD methods for controlled-source and passive data applications with numerical examples and discuss the advantages and limitations of both methods.
131
Marchenko redatuming, imaging, and multiple elimination and their mutual relations
Kees Wapenaar,Joeri Brackenhoff,Marcin Dukalski,Giovanni Angelo Meles,Christian Reinicke,Evert Slob,Myrna Staring,Jan Thorbecke,Joost van der Neut,Lele Zhang +9 more
TL;DR: The different approaches to Marchenko redatuming, imaging and multiple elimination are discussed, using a common mathematical framework.
An open-source framework for the implementation of large-scale integral operators with flexible, modern HPC solutions - Enabling 3D Marchenko imaging by least squares inversion
Matteo Ravasi,Ivan Vasconcelos +1 more
TL;DR: A Python framework is presented that leverages libraries for distributed storage and computing, and provides a high-level symbolic representation of linear operators, which highlights the memory requirements and computational challenges that arise when implementing such operators on 3D seismic datasets and their usage for solving large systems of integral equations.
Scattering-based focusing for imaging in highly complex media from band-limited, multicomponent data
TL;DR: In this article, the details of subsurface structures deep beneath complex overburden structures, such as subsalt, remains a challenge for seismic imaging, and the authors propose a method to reconstruct these details.
Target-oriented high-resolution elastic full waveform inversion with an elastic redatuming method
Yuanyuan Li,Tariq Alkhalifah +1 more
TL;DR: In this paper , a target-oriented high-resolution elastic full waveform inversion (FWI) scheme was proposed by using estimated elastic data for a virtual survey deployed just above a zone of interest.
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