Results 91 to 100 of about 4,182 (258)

Wavefield-reconstruction-based full waveform inversion on noisy data in seismic exploration

Frontiers in Earth Science
Full waveform inversion (FWI) is commonly used in seismic exploration to calculate parameters of the medium, such as velocity, from the signal as it passes through the medium.
Yuwei Yu, Yuwei Yu, Yuwei Yu, Zhefeng Wei, Zhefeng Wei, Zhefeng Wei, Xiaofeng Jia, Xiaofeng Jia, Xiaofeng Jia, Chenghong Zhu, Chenghong Zhu, Chenghong Zhu   +11 more
doaj   +1 more source

An efficient multi-scale waveform inversion method in Laplace-Fourier domain

Petroleum Exploration and Development, 2015
Aiming at the problem that large computational resources and long computation time are required for the conventional Laplace-Fourier domain waveform inversion, an efficient multi-scale grid algorithm with variable computed area is proposed, and used in ...
Ying HU, Dong ZHANG, Jianzheng YUAN, Shaojian HUANG, Di YAO, Ling XU, Cai ZHANG, Qianqing QIN   +7 more
doaj   +1 more source

FULL WAVEFORM INVERSION OF SOLAR INTERIOR FLOWS [PDF]

The Astrophysical Journal, 2014
21 pages, 6 figures; in press ...
openaire   +2 more sources

Synchronization of Analog Neuron Circuits With Digital Memristive Synapses: An Hybrid Approach

Advanced Electronic Materials, EarlyView.
An hybrid circuit mimicking neural units coupled using memristive synapses is introduced. The analog neurons provide flexibility and robustness, and the digital memristive coupling guarantees the full reconfigurability of the interconnection. The onset of a synchronized spiking behavior in two circuits mimicking the Izhikevich neuron is discussed from ...
Lamberto Carnazza, Francesco Maria Esposito, Carlo Famoso, Arturo Buscarino   +3 more
wiley   +1 more source

Microseismic Source Location Based on Full Waveform Inversion-Driven Neural Network

International Journal of Computational Intelligence Systems
Accurate localization of microseismic sources is essential in fields such as oil and gas extraction and underground energy storage. Current seismic source localization methods based on full waveform inversion exhibit a high degree of nonlinearity and ...
Yan Zhang, Zixin Wei, Yongxue Zhang, Hongli Dong, Jingzhe Wang, Linjun Zhang, Liwei Song   +6 more
doaj   +1 more source

Logic Functionality and Circuit Design of In2Se3‐Based Split‐Gate Ferroelectric Field‐Effect Transistor for Zero‐Trust Applications

Advanced Electronic Materials, EarlyView.
ABSTRACT Van der Waals ferroelectric materials are emerging as key building blocks for future logic devices and integrated circuits. Among them, α‐In2Se3 offers a unique combination of robust room temperature ferroelectricity and semiconducting behavior.
Ankita Ram, Cédric Marchand, Shehr Bano Masood, Aymen Mahmoudi, Takashi Taniguchi, Kenji Watanabe, Bernard Doudin, Abdelkarim Ouerghi, Ian O'Connor, Alexei Gruverman, Jean‐François Dayen   +10 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

FULL WAVEFORM INVERSION USING REVERSE TIME MIGRATION AND GOLDEN RATIO

JGE
Seismic wave imaging techniques, such as conventional full-waveform inversion (FWI), which utilize numerical solutions of seismic wave equations, can be a valuable tool for estimating high resolution models of complex geological conditions.
Made Jnanaparama Aparajita, M Rafif Pascaloa, Ahmad Dedi Putra, Harish Hartsa Naufal   +3 more
doaj   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

WaveInsight: A Source-Independent Full Waveform Inversion Application for Seismic Modeling

JGEET: Journal of Geoscience, Engineering, Environment and Technology
Full Waveform Inversion (FWI) is a key method in seismic exploration due to its ability to generate high-resolution subsurface velocity models. However, its success is highly dependent on the accuracy of the source wavelet, an incorrect wavelet ...
Asido Saputra Sigalingging, Ignatius Sonny Winardhi, Handoyo   +2 more
doaj   +1 more source