柴新涛｜中国地质大学(武汉)｜学者主页

2025

An Open-Source, Simple, and GPU-Accelerated Method in Python for Seismic Surface-Related Multiple Wave Elimination and Source Inversion

Xintao Chai, Cheng-Guo Cai, Hang Long, Wenjun Cao, Zhichong Yan, Zi-Yan Wang

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI

2025

Signal separation using unsupervised learning with local uncorrelated constraints: Applications to ground-roll contaminated data sets

Xu Sun, Xintao Chai, Qingyi Yang, Meiyuan Zhai, Han-Ming Gu

Geophysics

DOI

2024

Modeling multisource multifrequency acoustic wavefields by a multiscale Fourier feature physics-informed neural network with adaptive activation functions

Xintao Chai, Zhiyuan Gu, Hang Long, Shaoyong Liu, Taihui Yang, Lei Wang, Fenglin Zhan, Xiaodong Sun, Wenjun Cao

Geophysics

DOI

2024

PINN-Based Seismic Wavefield Simulation With Learnable Multiscale Fourier Feature Mapping and Adaptive Activation Function

Jialin Wu, Bang-Yu Wu, Xintao Chai, Junxiong Jia

IEEE Geoscience and Remote Sensing Letters

DOI

2024

Overcoming the Spectral Bias Problem of Physics-Informed Neural Networks in Solving the Frequency-Domain Acoustic Wave Equation

Xintao Chai, Wenjun Cao, Jian-Hui Li, Hang Long, Xiaodong Sun

IEEE Transactions on Geoscience and Remote Sensing

DOI

2024

Practical Aspects of Physics-Informed Neural Networks Applied to Solve Frequency-Domain Acoustic Wave Forward Problem

Xintao Chai, Zhiyuan Gu, Hang Long, Shaoyong Liu, Wenjun Cao, Xiaodong Sun

Seismological Research Letters

DOI

2023

Geophysics-steered self-supervised learning for deconvolution

Xintao Chai, Taihui Yang, Han-Ming Gu, G. Tang, Wenjun Cao, Yufeng Wang

Geophysical Journal International

DOI

2022

Deep-Learning-Based Low-Frequency Reconstruction in Full-Waveform Inversion

Zhiyuan Gu, Xintao Chai, Taihui Yang

Remote Sensing

DOI

2022

Seismic facies classification based on deep high-resolution representation learning: Experiments on the SEG 2020 machine learning open data

Wenhui Nie, Xintao Chai, Taihui Yang, Junyong Yu

SEG 2021 Workshop: 4th International Workshop on Mathematical Geophysics: Traditional & Learning, Virtual, 17–19 December 2021

DOI

2022

An Open-Source Package for Deep-Learning-Based Seismic Facies Classification: Benchmarking Experiments on the SEG 2020 Open Data

Xintao Chai, Wenhui Nie, Kai Lin, G. Tang, Taihui Yang, Junyong Yu, Wenjun Cao

IEEE Transactions on Geoscience and Remote Sensing

DOI

2021

Deep learning for multitrace sparse-spike deconvolution

Xintao Chai, G. Tang, Kai Lin, Zhe Yan, H. Gu, Rong-Hua Peng, Xiao-Dong Sun, Wen-Jun Cao

DOI

2021

Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction

Xintao Chai, G. Tang, Shangxu Wang, Kai Lin, Rong-Hua Peng

IEEE Transactions on Geoscience and Remote Sensing

DOI

2020

Deep learning for irregularly and regularly missing data reconstruction

Xintao Chai, Han-Ming Gu, Feng Li, Hong-You Duan, Xiaobo Hu, Kai Lin

Scientific Reports

DOI

2020

Deep Learning for Regularly Missing Data Reconstruction

Xintao Chai, G. Tang, Shangxu Wang, Rong-Hua Peng, Wei Chen, Jing-Nan Li

IEEE Transactions on Geoscience and Remote Sensing

DOI

2019

勘查技术与工程《MATLAB语言及应用》教学方法探索

柴新涛，汪玲玲，彭荣华

《教育教学论坛》

DOI

2019

Some remarks on Q‐compensated sparse deconvolution without knowing the quality factor Q

Xintao Chai, Rong-Hua Peng, G. Tang, Wei Chen, Jing-Nan Li

Geophysical Prospecting

DOI

2018

A simple and efficient inversion approach for estimation of primaries, surface-related multiples, and wavelets

Xintao Chai

DOI

2018

To: “A simple and efficient inversion approach for estimation of primaries, surface-related multiples, and wavelets,” Xintao Chai, Geophysics, doi: 10.1190/geo2017-0578.1.

Xintao Chai

Geophysics

DOI

2018

Q-compensated acoustic impedance inversion of attenuated seismic data: Numerical and field-data experiments

Xintao Chai, G. Tang, Fang-Fang Wang, H. Gu, Xin-Qiang Wang

Geophysics

DOI

2018

The Linearized Bregman Method for Frugal Full-waveform Inversion with Compressive Sensing and Sparsity-promoting

Xintao Chai, G. Tang, Rong-Hua Peng, Shao-Yong Liu

Pure and Applied Geophysics

DOI

2017

Sparse reflectivity inversion for nonstationary seismic data with surface-related multiples: Numerical and field-data experiments

Xintao Chai, Shangxu Wang, G. Tang

DOI

2017

Stable and efficient Q-compensated least-squares migration with compressive sensing, sparsity-promoting, and preconditioning

Xintao Chai, Shang-xu Wang, G. Tang, X. Meng

DOI

2016

A linearized Bregman method for compressive waveform inversion

Xintao Chai, Meng-Meng Yang, Philipp A. Witte, Rongrong Wang, Zhilong Fang, F. Herrmann

DOI

2016

Reflectivity inversion for attenuated seismic data: Physical modeling and field data experiments

Xintao Chai, Shangxu Wang, Jian-Xin Wei, Jing-Nan Li, H. Yin

DOI

2014

High resolution prestack nonstationary AVA inversion: Part 1 - Theory

Xintao Chai, Shangxu Wang, Xian Wei, X. Meng, Jing-Nan Li, H. Yin, Yanguo Qiao, M. Ma

DOI

2014

Sparse reflectivity inversion for nonstationary seismic data

Xintao Chai, Shangxu Wang, S. Yuan, Jian-Guo Zhao, Lang-Qiu F. Sun, Xian Wei

DOI

2013

A new high resolution AVA inversion using partial spectrum of prestack seismic data

Xintao Chai, Shangxu Wang, S. Yuan, X. Meng, X. Chuai

DOI

2012

基于LSQR算法的谱反演方法研究

柴新涛，李振春，韩文功，刘力辉

《石油物探》

2012

基于LSQR和模拟退火联合的谱反演方法研究

柴新涛

《中国石油大学（华东）》

2007

Characteristics and method of synthesis seismic wave based on wavelet reconstruction

L. Zou, Ai-Ping Liu, Hong Yang, Xintao Chai, X. Shang, Su-Liang Dai, Bo Dong

DOI

柴新涛

精选作品

期刊论文

An Open-Source, Simple, and GPU-Accelerated Method in Python for Seismic Surface-Related Multiple Wave Elimination and Source Inversion

Signal separation using unsupervised learning with local uncorrelated constraints: Applications to ground-roll contaminated data sets

Modeling multisource multifrequency acoustic wavefields by a multiscale Fourier feature physics-informed neural network with adaptive activation functions

PINN-Based Seismic Wavefield Simulation With Learnable Multiscale Fourier Feature Mapping and Adaptive Activation Function

Overcoming the Spectral Bias Problem of Physics-Informed Neural Networks in Solving the Frequency-Domain Acoustic Wave Equation

Practical Aspects of Physics-Informed Neural Networks Applied to Solve Frequency-Domain Acoustic Wave Forward Problem

Geophysics-steered self-supervised learning for deconvolution

Deep-Learning-Based Low-Frequency Reconstruction in Full-Waveform Inversion

Seismic facies classification based on deep high-resolution representation learning: Experiments on the SEG 2020 machine learning open data

An Open-Source Package for Deep-Learning-Based Seismic Facies Classification: Benchmarking Experiments on the SEG 2020 Open Data

Deep learning for multitrace sparse-spike deconvolution

Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction

Deep learning for irregularly and regularly missing data reconstruction

Deep Learning for Regularly Missing Data Reconstruction

勘查技术与工程《MATLAB语言及应用》教学方法探索

Some remarks on Q‐compensated sparse deconvolution without knowing the quality factor Q

A simple and efficient inversion approach for estimation of primaries, surface-related multiples, and wavelets

To: “A simple and efficient inversion approach for estimation of primaries, surface-related multiples, and wavelets,” Xintao Chai, Geophysics, doi: 10.1190/geo2017-0578.1.

Q-compensated acoustic impedance inversion of attenuated seismic data: Numerical and field-data experiments

The Linearized Bregman Method for Frugal Full-waveform Inversion with Compressive Sensing and Sparsity-promoting

Sparse reflectivity inversion for nonstationary seismic data with surface-related multiples: Numerical and field-data experiments

Stable and efficient Q-compensated least-squares migration with compressive sensing, sparsity-promoting, and preconditioning

A linearized Bregman method for compressive waveform inversion

Reflectivity inversion for attenuated seismic data: Physical modeling and field data experiments

High resolution prestack nonstationary AVA inversion: Part 1 - Theory

Sparse reflectivity inversion for nonstationary seismic data

A new high resolution AVA inversion using partial spectrum of prestack seismic data

基于LSQR算法的谱反演方法研究

基于LSQR和模拟退火联合的谱反演方法研究

Characteristics and method of synthesis seismic wave based on wavelet reconstruction

会议论文

基于井约束半监督学习的反褶积方法研究与应用

基于物理引导神经网络的频率域声波正演模拟方法研究

基于机器学习和自动微分的频率域声波正演模拟方法研究

品质因子Q值估计方法研究