Adaptive reflection waveform inversion

Adaptive reflection waveform inversion: Faster, tighter, deeper, smarter

Abstract ... We begin from simple one-dimensional starting models, we use minimal human intervention, and we recover velocity models, that are ...

Adaptive waveform inversion: Practice | GEOPHYSICS - SEG Library

When starting inversion from 3 Hz, and using a good starting model obtained from reflection tomography, FWI and AWI generate similar models although the FWI ...

Adaptive reflection waveform inversion: faster, tighter, deeper, smarter

We demonstrate that an appropriate combination of adaptive waveform inversion (AWI) (Guasch et al., 2019), kinematic reflection waveform inversion (RWI) ...

Adaptive Waveform Inversion - S-Cube

RWI is a recent algorithm development which models the physics of reflected seismic waves and their multiples. Seismic waves reflect when they cross from one ...

Adaptive Feedback Convolutional‐Neural‐Network‐Based High ...

To update the deeper background velocity model, many reflection-waveform inversion (RWI) algorithms were proposed to separate the tomographic ...

(PDF) Adaptive Waveform Inversion: Practice - ResearchGate

We applied Kirchhoff depth migration to the fully-processed data using the FWI result obtained following reflection tomography, and using the ...

Adaptive Waveform Inversion for Transmitted Wavefields - arXiv

Furthermore, the analysis explained here sheds no light on the effectiveness of AWI for reflected wave data. I discuss these and other aspects ...

Frequency domain adaptive waveform inversion - CREWES

The flavour of extended waveform inversion we present is known as adaptive waveform inversion (AWI) which extends the model space in convolutional Wiener filter ...

Localized adaptive waveform inversion: theory and numerical ... - HAL

2021), as first-arrival phases are essentially driving the optimization workflow. Late low-frequency reflection phases, quite important for high ...

Data-adaptive global full-waveform inversion - Oxford Academic

We present a novel approach to global-scale full-waveform inversion (FWI) that can reduce computational cost by over an order of magnitude.

Adaptive Reflection Waveform Inversion - London Town Group

Adaptive reflection waveform inversion: faster, tighter, deeper, smarter. (SEG 2021). Mike Warner, Tenice Nangoo, Adrian Umpleby, Nikhil Shah ...

Velocity Model Building by Localized Adaptive Waveform Inversion ...

Joint full-waveform inversion (JFWI) uses both early arrivals and reflections to reconstruct shallow and deep macro-velocities.

Adaptive Waveform Inversion for Transmitted Wave Data - arXiv

The analysis explained here sheds no light on the effectiveness of AWI for reflected wave data, and the approach has so far been limited ...

Adaptive Waveform Inversion

Waveform Inversion. Adrian Umpleby, Mike Warner & Lluis Guasch. Imperial ... Adaptive Waveform Inversion. Page 14. AWI. 14. Reflection AWI. Page 15. AWI. 15. (a) ...

Adaptive waveform inversion: Theory - CORE

Meeting as Warner M & L Guasch, “Robust adaptive waveform inversion. ... Hale, 2013, Wave-equation reflection traveltime inversion with ...

Localized adaptive waveform inversion: theory and numerical ...

SUMMARY. Correctly interpreting phase events thanks to data processing techniques based on correlation or deconvolution has been the focus ...

Adaptive Waveform Inversion - FWI Without Cycle Skipping - Theory

However, Reflection FWI requires a good reflectivity model as a secondary source to construct a backscattering wavefield, the effectiveness of ...

A review on reflection-waveform inversion | Petroleum Science

... Adaptive Waveform Inversion—AWI (Warner and Guasch 2016; Guasch et al. 2019; van Leeuwen and Mulder 2010; Luo and Sava 2011; Zhu and Fomel ...

Adaptive multi-step Full Waveform Inversion based on Waveform ...

Waveform mode decomposition method is a good way to mitigate the cycle skipping for full waveform inversion. •. Adaptive multi-step strategy combined with ...

Improving adaptive waveform inversion by local matching filter

The adaptive waveform inversion uses a convolutional matching filter to implicitly estimate time shift between observed and predicted data.