Search Results - "Wang, Shangxu"

Seismic Waveform Classification and First-Break Picking Using Convolution Neural Networks by Yuan, Sanyi, Liu, Jiwei, Wang, Shangxu, Wang, Tieyi, Shi, Peidong

“…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 by Yuan, Sanyi, Wang, Shangxu, Ma, Ming, Ji, Yongzhen, Deng, Li

“…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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Spectral sparse Bayesian learning reflectivity inversion by Yuan, Sanyi, Wang, Shangxu

“…ABSTRACT A spectral sparse Bayesian learning reflectivity inversion method, combining spectral reflectivity inversion with sparse Bayesian learning, is…”
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An unsupervised learning approach to deblend seismic data from denser shot coverage surveys by Wang, Kunxi, Hu, Tianyue, Wang, Shangxu

“…SUMMARY The simultaneous source data obtained by simultaneous source acquisition contain crosstalk noise and cannot be directly used in conventional data…”
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Dual attenuation peaks revealing mesoscopic and microscopic fluid flow in partially oil-saturated Fontainebleau sandstones by Zhao, Liming, Tang, Genyang, Sun, Chao, Zhao, Jianguo, Wang, Shangxu

“…SUMMARY We conducted stress–strain oscillation experiments on dry and partially oil-saturated Fontainebleau sandstone samples over the 1–2000 Hz band at…”
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Automatic velocity analysis using interpretable multimode neural networks by Zhang, Haifeng, Yuan, Sanyi, Zeng, Huahui, Yuan, Huan, Gao, Yang, Wang, Shangxu

“…SUMMARY Seismic velocity analysis is the basis for seismic imaging and understanding complex subsurface geological structures. Although the performance of…”
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A numerical assessment of local strain measurements on the attenuation and modulus dispersion in rocks with fluid heterogeneities by Sun, Chao, Tang, Genyan, Chapman, Samuel, Zhang, Huai, Fortin, Jérôme, Wang, Shangxu, Pan, Dongming, Yue, Jianhua

“…SUMMARY The forced oscillation method is widely used to investigate intrinsic seismic wave dispersion and attenuation in rock samples by measuring their…”
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Gas Reservoir Characterization Using Lp-Norm Constrained High-Resolution Seismic Spectral Attributes by Wang, Tieyi, Yuan, Sanyi, Wang, Rui, Yang, Shan, Wang, Shangxu

“…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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Three-dimensional numerical modelling of the drained/undrained transition for frequency-dependent elastic moduli and attenuation by Sun, Chao, Tang, Genyang, Zhao, Jianguo, Zhao, Liming, Long, Teng, Li, Min, Wang, Shangxu

“…SUMMARY In fully fluid-saturated rocks, two common phenomena are documented both experimentally and theoretically for frequency-dependent elastic moduli and…”
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Role of pressure and pore microstructure on seismic attenuation and dispersion of fluid-saturated rocks: laboratory experiments and theoretical modelling by He, Yan-Xiao, Wang, Shangxu, Xi, Bo, Tang, Genyang, Yin, Hanjun, Zhao, Liming, Sun, Chao, Ma, Xiaoyi

“…SUMMARY Understanding the effects of pressure and rock microstructure on seismic elastic properties of fully saturated rocks is of considerable importance in a…”
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Traveltime-based reflection full-waveform inversion for elastic medium by Wang, Guanchao, Wang, Shangxu, Du, Qizhen, Yuan, Sanyi

“…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 by Wang, Di, Yuan, Sanyi, Liu, Tao, Li, Shengjun, Wang, Shangxu

“…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 by Deng, Li, Yuan, Sanyi, Wang, Shangxu

“…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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A novel expression of the spherical-wave reflection coefficient at a plane interface by Li, Jingnan, Wang, Shangxu, Tao, Yonghui, Dong, Chunhui, Tang, Genyang

“…Abstract The spherical-wave reflection coefficient (SRC) describes the reflection strength when seismic waves emanating from a point source impinge on an…”
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Coupled effects of pressure and frequency on velocities of tight sandstones saturated with fluids: measurements and rock physics modelling by Han, Xu, Wang, Shangxu, Tang, Genyang, Dong, Chunhui, He, Yanxiao, Liu, Tao, Zhao, Liming, Sun, Chao

“…SUMMARY Elastic moduli and velocities of tight sandstones are strongly influenced by rock-frame heterogeneity, pore microstructure and fluid in addition to…”
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Edge-preserving noise reduction based on Bayesian inversion with directional difference constraints by Yuan, Sanyi, Wang, Shangxu

“…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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Pressure and Fluid Effect on Frequency‐Dependent Elastic Moduli in Fully Saturated Tight Sandstone by Yin, Hanjun, Zhao, Jianguo, Tang, Genyang, Zhao, Liming, Ma, Xiaoyi, Wang, Shangxu

“…We developed a system to explore the effects of pressure and fluid viscosity on the dispersion and attenuation of fully saturated tight sandstones, especially…”
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Multi-trace stochastic sparse-spike inversion for reflectivity by Ji, Yongzhen, Yuan, Sanyi, Wang, Shangxu

“…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 by Lian, Shijie, Yuan, Sanyi, Wang, Guanchao, Liu, Tian, Liu, Ying, Wang, Shangxu

“…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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Multichannel sparse spike deconvolution based on dynamic time warping by Zhao, Xiaowei, Wang, Shangxu, Yuan, Sanyi, Cheng, Liang, Cai, Youjun

“…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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