Search Results - "Yuan, Sanyi"
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Seismic Waveform Classification and First-Break Picking Using Convolution Neural Networks
Published in IEEE geoscience and remote sensing letters (01-02-2018)“…Regardless of successful applications of the convolutional neural networks (CNNs) in different fields, its application to seismic waveform classification and…”
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Sparse Bayesian Learning-Based Time-Variant Deconvolution
Published in IEEE transactions on geoscience and remote sensing (01-11-2017)“…In seismic exploration, the wavelet-filtering effect and Q-filtering (amplitude attenuation and velocity dispersion) effect blur the reflection image of…”
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Porosity prediction using semi-supervised learning with biased well log data for improving estimation accuracy and reducing prediction uncertainty
Published in Geophysical journal international (12-10-2023)“…SUMMARY Porosity characterization is of profound significance for seismic inversion and hydrocarbon prediction. Although semi-supervised learning (SSL) based…”
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4
Spectral sparse Bayesian learning reflectivity inversion
Published in Geophysical Prospecting (01-07-2013)“…ABSTRACT A spectral sparse Bayesian learning reflectivity inversion method, combining spectral reflectivity inversion with sparse Bayesian learning, is…”
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Automatic velocity analysis using interpretable multimode neural networks
Published in Geophysical journal international (01-10-2023)“…SUMMARY Seismic velocity analysis is the basis for seismic imaging and understanding complex subsurface geological structures. Although the performance of…”
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Intelligent velocity picking and uncertainty analysis based on the Gaussian mixture model
Published in Acta geophysica (01-12-2022)“…The stacking velocity is often obtained manually. However, manually picking is inefficient and is easily affected by subjective factors such as the priori…”
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Prestack simultaneous inversion of P-wave impedance and gas saturation using multi-task residual networks
Published in Acta geophysica (01-04-2024)“…It is challenging to realize the gas saturation (GS) estimation via the integration of seismic data and more complementary data (e.g., elastic attributes) in a…”
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Gas Reservoir Characterization Using Lp-Norm Constrained High-Resolution Seismic Spectral Attributes
Published in Pure and applied geophysics (01-11-2020)“…Reservoir prediction is often a primary objective in seismic exploration, especially for deep hydrocarbon detection with its potential for assessing oil and…”
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Traveltime-based reflection full-waveform inversion for elastic medium
Published in Journal of applied geophysics (01-06-2017)“…The main difficulty of full waveform inversion (FWI) based on local optimization methods is that it tends to trap in local minima or cycle-skipping associated…”
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Inversion-based non-stationary normal moveout correction along with prestack high-resolution processing
Published in Journal of applied geophysics (01-08-2021)“…Seismic wave propagated in viscoelastic media always suffers from amplitude attenuation and velocity dispersion. It not only reduces seismic resolution, but…”
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Sparse Bayesian Learning-Based Seismic Denoise by Using Physical Wavelet as Basis Functions
Published in IEEE geoscience and remote sensing letters (01-11-2017)“…Attenuating random noise is a fundamental yet necessary step for subsequent seismic image processing and interpretation. We introduce a sparse Bayesian…”
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Surface-wave dispersion curves extraction method from ambient noise based on U-net++ and density clustering algorithm
Published in Journal of applied geophysics (01-06-2023)“…It is crucial to accurately and rapidly extract dispersion curves of surface waves from ambient noise recordings for inverting the subsurface shear (S) wave…”
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13
Edge-preserving noise reduction based on Bayesian inversion with directional difference constraints
Published in Journal of geophysics and engineering (01-04-2013)“…Attenuating random noise while preserving edges and structures of seismic signals is of great significance for seismic interpretation and inversion. An…”
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14
Multi-trace stochastic sparse-spike inversion for reflectivity
Published in Journal of applied geophysics (01-02-2019)“…Sparse-spike reflectivity inversion can be generally regarded as the combination of a non-linear problem of finding the locations and a linear problem of…”
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Enhancing low-wavenumber components of full-waveform inversion using an improved wavefield decomposition method in the time-space domain
Published in Journal of applied geophysics (01-10-2018)“…Full-waveform inversion (FWI) is a successful technique that attempts to build high-resolution velocity models by minimizing the residuals between observed and…”
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16
Multichannel sparse spike deconvolution based on dynamic time warping
Published in Acta geophysica (01-06-2021)“…Seismic sparse spike deconvolution is commonly used to invert for subsurface reflectivity series and is usually implemented as an inversion scheme…”
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17
Frequency-domain sparse Bayesian learning inversion of AVA data for elastic parameters reflectivities
Published in Journal of applied geophysics (01-10-2016)“…The prestack amplitude variation with angle (AVA) inversion method utilising angle information to obtain the elastic parameters estimation of subsurface rock…”
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18
Building a good initial model for full-waveform inversion using frequency shift filter
Published in Journal of applied geophysics (01-05-2018)“…Accurate initial model or available low-frequency data is an important factor in the success of full waveform inversion (FWI). The low-frequency helps…”
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The influence of errors in the source wavelet on inversion‐based surface‐related multiple attenuation
Published in Geophysical Prospecting (01-03-2018)“…ABSTRACT We investigate the influence of source wavelet errors on inversion‐based, surface‐related multiple attenuation, in order to address how the inverted…”
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Editorial: Advances and applications of artificial intelligence in geoscience and remote sensing
Published in Frontiers in earth science (Lausanne) (20-07-2023)Get full text
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