Results 51 to 60 of about 3,292,250 (298)

An adaptive multiscale algorithm for efficient extended waveform inversion

, 2017
Subsurface-offset extended full-waveform inversion (FWI) may converge to kinematically accurate velocity models without the low-frequency data accuracy required for standard data-domain FWI.
Lei Fu, William W. Symes, Symes, William W., Fu, Lei   +3 more
core   +1 more source

Resource-Efficient Acoustic Full-Waveform Inversion via Dual-Branch Physics-Informed RNN with Scale Decomposition

Applied Sciences
Full-waveform velocity inversion has long been a primary focus in seismic exploration. Full-waveform inversion techniques employing physics-informed recurrent neural networks (PIRNNs) have recently gained significant scholarly attention.
Cai Lu, Jijun Liu, Liyuan Qu, Jianbo Gao, Hanpeng Cai, Jiandong Liang   +5 more
doaj   +1 more source

Analysis of the covariance matrix in FWI through density of covariance maps

CT&F Ciencia, Tecnología & Futuro, 2020
Full waveform inversion (FWI) is a tool for the inversion of seismic data. There are several sources of uncertainty in the results provided by FWI. The quantification of such uncertainties has been studied through the resolution matrix (Res), which rests
Anyeres Neider Jimenez, Juan Carlos Muñoz Cuartas, Sheryl Avendaño, Leonardo Gómez Bernal   +3 more
doaj   +1 more source

Multisource Seismic Full Waveform Inversion of Metal Ore Bodies

, 2021
The seismic exploration method could explore deep metal ore bodies (depth > 1000 m). However, it is difficult to describe the geometry of the complex metal ore body accurately.
Liguo Han, Zhuo Xu, Pan Zhang, Fengjiao Zhang, Xiangbo Gong   +4 more
core   +1 more source

Materials‐Driven Additive Manufacturing for Electrical Machines: Qualification‐Oriented Design Beyond Geometric Freedom

Advanced Engineering Materials, EarlyView.
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley   +1 more source

Mantle transition zone structure beneath India and Western China from migration of PP and SS precursors [PDF]

, 2014
We investigate the seismic structure of the upper-mantle and mantle transition zone beneath India and Western China using PP and SS underside reflections offseismic discontinuities, which arrive as precursors to the PP and SS arrival.
Dobson, DP, Rost, S, Thomas, C, Cobden, L, Rost, S., Seismology, NWO-VIDI: Full waveform inversion for upper-mantle density structure, Dobson, D.P., Thomas, C., Lessing, S, Cobden, L., Lessing, S.   +11 more
core   +1 more source

Wearable Smart Patches on Sustainable Chitosan With Reversible Microbial Growth‐Inhibitory Properties

Advanced Functional Materials, EarlyView.
ABSTRACT Chitosan, a polysaccharide upcycled from biowaste, has long promised sustainable, biocompatible, and antimicrobial films and devices, an appeal reinforced by its recent regulatory recognition, with several chitosan‐based antibacterial dressings gaining clearance through the Food and Drug Administration's 510(k) pathway.
Jacopo Nicoletti, Kubra Kocak, Andrea Michel, Enrico Cavarzerani, Ali Raza, Petr Rohzin, Nouha Loudhaief, Saimir Frroku, Nicolò Baldovin, Hazrat Bilal, Alvise Perosa, Maurizio Selva, Flavio Rizzolio, Luca Sbuelz, Sabrina Tamburini, Domenico De Fazio, Giovanni Antonio Salvatore   +16 more
wiley   +1 more source

Constrained Full Waveform Inversion for Borehole Multicomponent Seismic Data

Geosciences, 2019
Full-waveform inversion for borehole seismic data is an ill-posed problem and constraining the problem is crucial. Constraints can be imposed on the data and model space through covariance matrices. Usually, they are set to a diagonal matrix.
Marwan Charara, Christophe Barnes
doaj   +1 more source

Studies on modified limited-memory BFGS method in full waveform inversion

Frontiers in Earth Science, 2023
Full waveform inversion (FWI) is a non-linear optimization problem based on full-wavefield modeling to obtain quantitative information of subsurface structure by minimizing the difference between the observed seismic data and the predicted wavefield. The
Meng-Xue Dai, Bing-Shou He, Bing-Shou He, Wei-Sen Huang   +3 more
doaj   +1 more source

Extrapolated full-waveform inversion with deep learning [PDF]

Geophysics, 2020
ABSTRACT The lack of low-frequency information and a good initial model can seriously affect the success of full-waveform inversion (FWI), due to the inherent cycle skipping problem. Computational low-frequency extrapolation is in principle the most direct way to address this issue.
Hongyu Sun, Laurent Demanet
openaire   +3 more sources