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Smart Materials and Structures, 2021
Abstract Undetected inclusions in engineering components cause tremendous industrial expenses in maintenance and repairs each year, with additional risks of catastrophic failures. This paper introduces a powerful method for inclusion imaging and reconstruction in irregularly-shaped components, based on a cutting-edge imaging technique—
Jiaze He +5 more
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Abstract Undetected inclusions in engineering components cause tremendous industrial expenses in maintenance and repairs each year, with additional risks of catastrophic failures. This paper introduces a powerful method for inclusion imaging and reconstruction in irregularly-shaped components, based on a cutting-edge imaging technique—
Jiaze He +5 more
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Seismic Full Waveform Inversion (FWI) to characterise the structure of firn
2020<p>The transformation of snow into ice is a fundamental process in glaciology. The yearly accumulation of fresh snowfall increases the overburden pressure, changing the snow&#8217;s properties such that it transitions into firn and pure glacier ice thereafter. Additionally, periods of melt and variations in subsurface and
Emma Pearce +3 more
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The Leading Edge, 2013
Convergence of full waveform inversion can be improved by extending the velocity model along either the subsurface-offset axis or the time-lag axis. The extension of the velocity model along the time-lag axis enables us to linearly model large time shifts caused by velocity perturbations. The extension is based on a new linearization of the scalar wave
Biondo Biondi, Ali Almomin
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Convergence of full waveform inversion can be improved by extending the velocity model along either the subsurface-offset axis or the time-lag axis. The extension of the velocity model along the time-lag axis enables us to linearly model large time shifts caused by velocity perturbations. The extension is based on a new linearization of the scalar wave
Biondo Biondi, Ali Almomin
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Full waveform inversion (FWI) in time for seismic data acquired using a blended geometry
2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA), 2016This work presents the development of a FWI method in time, that uses seismic data acquired using a blended geometry. Blended geometry involves temporal and spatial overlap of multiple shots, randomly located in the same acquisition, whereas the traditional acquisition uses regular spacing of the receivers and one single shot at a time.
Katherine A. Florez +2 more
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Source wavelet independent time-domain full waveform inversion(FWI) of cross-hole radar data
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016In recent years, waveform inversion is one of the hot methods because it can provide sub-wavelength images. In the inversion of field data, waveform inversion requires a good estimation of the source wavelet to reach the global convergence. Traditional method is that the source wavelet is added into the inversion as a new unknown parameter and updated ...
Sixin Liu, Xu Meng, Lei Fu
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2021
<p>Full Waveform Inversion (FWI) is a well-established seismic imaging technique used in the exploration industry to acquire high resolution, high precision velocity models of the subsurface from seismic data. Although FWI is computationally expensive and requires customized data acquisition, the technique has the potential to improve ...
Emma Pearce +6 more
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<p>Full Waveform Inversion (FWI) is a well-established seismic imaging technique used in the exploration industry to acquire high resolution, high precision velocity models of the subsurface from seismic data. Although FWI is computationally expensive and requires customized data acquisition, the technique has the potential to improve ...
Emma Pearce +6 more
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Full-waveform inversion and FWI imaging for land data
Second International Meeting for Applied Geoscience & Energy, 2022James Sheng +4 more
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FWI-WF: Robust full-waveform inversion using hybrid Wasserstein-1 and Fourier metrics
GEOPHYSICSThe performance of full-waveform inversion (FWI) in constructing high-resolution subsurface models is closely related to the design of mismatch functions. The least-squares norm ([Formula: see text]) is commonly used; however, it is prone to local minima when high-quality initial guess and low-frequency data are unavailable.
Linrong Wang +5 more
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SEG Technical Program Expanded Abstracts 2015, 2015
Two different fluid models were constructed to simulate time-lapse surveys. Subsequently, non-linear full-waveform inversion (FWI-res) was applied with the goal of extracting the property differences resulting from the different fluid saturations. It is demonstrated that Full Waveform Inversion, applied to base-line and time-lapse surveys separately ...
Runhai Feng* +3 more
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Two different fluid models were constructed to simulate time-lapse surveys. Subsequently, non-linear full-waveform inversion (FWI-res) was applied with the goal of extracting the property differences resulting from the different fluid saturations. It is demonstrated that Full Waveform Inversion, applied to base-line and time-lapse surveys separately ...
Runhai Feng* +3 more
openaire +1 more source