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ORCIDShangxu Wang
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- affiliation: China University of Petroleum, College of Geophysics and Information Engineering, Beijing, China
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2020 – today
- 2025
[j34]Fa-Wei Miao
, Yan-Xiao He, Jingyang Ni, Sanyi Yuan, Shangxu Wang:
A Novel Approach of Frequency-Dependent Seismic Elastic Parameters Inversion for Fluid Prediction at Thin Sandstone Reservoirs. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025)- 2024
- [j33]Fa-Wei Miao, Yan-Xiao He, Shang-Xu Wang, Handong Huang:
An Improved Inversion Method of Reservoir Parameters Is Based on the Exact Reflection Coefficient Equation. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j32]Xiaozhou Liu, Tianyue Hu, Shangxu Wang:
Physics-Informed Self-Supervised Learning With Phase Resemblance Constraint for Internal Multiple Attenuation. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - 2023
- [j31]Meng-Fan Zhang, Yan-Xiao He, Shang-Xu Wang, Genyang Tang, Chao Sun:
A benchmark study for quasi-static numerical upscaling of seismic wave attenuation and dispersion in fractured poroelastic rocks. Comput. Geosci. 180: 105459 (2023) - [j30]Guanchao Wang, Shangxu Wang, Guohe Li, Guangmao Zhao, Yongxiao Niu:
Elastic Reflection Waveform Inversion With a Nonlinear Born Scattering Operator for Multiparameter Reconstruction. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j29]Kunxi Wang, Tianyue Hu, Bangliu Zhao, Shangxu Wang:
An Unsupervised Learning Method to Suppress Seismic Internal Multiples Based on Adaptive Virtual Events and Joint Constraints of Multiple Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j28]Kunxi Wang, Tianyue Hu, Bangliu Zhao, Shangxu Wang:
Random Noise Attenuation Using an Unsupervised Deep Neural Network Method Based on Local Orthogonalization and Ensemble Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j27]Kunxi Wang, Tianyue Hu, Bangliu Zhao, Shangxu Wang:
An Unsupervised Deep Learning Method for Direct Seismic Deblending in Shot Domain. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - 2022
- [j26]Yan-Xiao He, Gang He, Sanyi Yuan, Jianguo Zhao, Shangxu Wang:
Bayesian Frequency-Dependent AVO Inversion Using an Improved Markov Chain Monte Carlo Method for Quantitative Gas Saturation Prediction in a Thin Layer. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j25]Yan-Xiao He, Shang-Xu Wang, Rui Guo, Sanyi Yuan, Jianguo Zhao, Mo Chen:
An Efficient Phase Decomposition of Seismic Reflections From Thin-Layer Targets for Better Reservoir Characterization. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j24]Yan-Xiao He, Shangxu Wang, Sanyi Yuan, Genyang Tang, Xinyu Wu:
An Improved Approach for Hydrocarbon Detection Using Bayesian Inversion of Frequency- and Angle-Dependent Seismic Signatures of Highly Attenuative Reservoirs. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j23]Lichao Liu, Tianyue Hu, Jiandong Huang, Shangxu Wang:
Adaptive Surface-Related Multiple Subtraction Based on Convolutional Neural Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j22]Xiaozhou Liu, Tianyue Hu, Shangxu Wang, Tao Liu, Zhefeng Wei:
Seismic Internal Multiple Suppression Based on Convolutional Neural Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j21]Zhaohui Song, Shenghuang Li, Sumei He, Sanyi Yuan, Shangxu Wang:
Gas-Bearing Prediction of Tight Sandstone Reservoir Using Semi-Supervised Learning and Transfer Learning. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j20]Guanchao Wang, Tariq Alkhalifah, Shangxu Wang:
Enhancing Low-Wavenumber Information in Reflection Waveform Inversion by the Energy Norm Born Scattering. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j19]Jianguo Zhao, Yan-Xiao He, Gang He, Wentao He, Qi Li, Shangxu Wang:
A Novel Approach for Evaluating Gas Saturation Effects on the Phase Reversal Characteristics of Seismic AVO Responses From Strongly Attenuating Reservoirs. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j18]Kunxi Wang, Tianyue Hu, Shangxu Wang:
Unsupervised Learning for Seismic Internal Multiple Suppression Based on Adaptive Virtual Events. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - 2021
- [j17]Liang Cheng, Sanyi Yuan, Shangxu Wang:
Joint Reflectivity and Structural Interval-Q Estimation by Using Nonstationary Sparse Inversion. IEEE Geosci. Remote. Sens. Lett. 18(5): 776-780 (2021) - [j16]Wenjing Sang, Sanyi Yuan, Xueshan Yong, Xinqi Jiao, Shangxu Wang:
DCNNs-Based Denoising With a Novel Data Generation for Multidimensional Geological Structures Learning. IEEE Geosci. Remote. Sens. Lett. 18(10): 1861-1865 (2021) - [j15]Xintao Chai, Genyang Tang, Shangxu Wang, Kai Lin, Ronghua Peng:
Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction. IEEE Trans. Geosci. Remote. Sens. 59(7): 6244-6265 (2021) - 2020
- [j14]Sanyi Yuan, Wanwan Wei, Di Wang, Peidong Shi, Shangxu Wang:
Goal-Oriented Inversion-Based NMO Correction Using a Convex l2, 1-Norm. IEEE Geosci. Remote. Sens. Lett. 17(1): 162-166 (2020) - [j13]Shengjun Li, Zhizhou Huo, Bo Zhang, Yihuai Lou, Hao Wu, Shangxu Wang:
Multichannel Complex Seismic Traces Analysis. IEEE Geosci. Remote. Sens. Lett. 17(5): 879-883 (2020) - [j12]Chunmei Luo, Shanshan Wei, Sanyi Yuan, Zhaohui Song, Weibin Song, Shangxu Wang:
An Unsupervised Learning Method for Estimating Zero-Crossing-Time. IEEE Geosci. Remote. Sens. Lett. 17(7): 1148-1152 (2020) - [j11]Xintao Chai, Genyang Tang, Shangxu Wang, Ronghua Peng, Wei Chen, Jingnan Li:
Deep Learning for Regularly Missing Data Reconstruction. IEEE Trans. Geosci. Remote. Sens. 58(6): 4406-4423 (2020)
2010 – 2019
- 2019
- [j10]Sanyi Yuan, Ying Liu, Zhen Zhang, Chunmei Luo, Shangxu Wang:
Prestack Stochastic Frequency-Dependent Velocity Inversion With Rock-Physics Constraints and Statistical Associated Hydrocarbon Attributes. IEEE Geosci. Remote. Sens. Lett. 16(1): 140-144 (2019) - [j9]Sanyi Yuan, Yuxin Su, Tieyi Wang, Jinghan Wang, Shangxu Wang:
Geosteering Phase Attributes: A New Detector for the Discontinuities of Seismic Images. IEEE Geosci. Remote. Sens. Lett. 16(1): 145-149 (2019) - [j8]Sanyi Yuan, Yongzhen Ji, Peidong Shi, Jing Zeng, Jianhu Gao, Shangxu Wang:
Sparse Bayesian Learning-Based Seismic High-Resolution Time-Frequency Analysis. IEEE Geosci. Remote. Sens. Lett. 16(4): 623-627 (2019) - [j7]Guanchao Wang, Sanyi Yuan, Shangxu Wang:
Retrieving Low-Wavenumber Information in FWI: An Efficient Solution for Cycle Skipping. IEEE Geosci. Remote. Sens. Lett. 16(7): 1125-1129 (2019) - [j6]Tieyi Wang, Sanyi Yuan, Jianhu Gao, Shengjun Li, Shangxu Wang:
Multispectral Phase-Based Geosteering Coherence Attributes for Deep Stratigraphic Feature Characterization. IEEE Geosci. Remote. Sens. Lett. 16(8): 1309-1313 (2019) - 2018
- [j5]Sanyi Yuan, Jiwei Liu, Shangxu Wang, Tieyi Wang, Peidong Shi:
Seismic Waveform Classification and First-Break Picking Using Convolution Neural Networks. IEEE Geosci. Remote. Sens. Lett. 15(2): 272-276 (2018) - [j4]Yan-Xiao He, Xin-Yu Wu, Kun Fu, Dan Zhou, Shang-Xu Wang:
Modeling the Effect of Microscopic and Mesoscopic Heterogeneities on Frequency-Dependent Attenuation and Seismic Signatures. IEEE Geosci. Remote. Sens. Lett. 15(8): 1174-1178 (2018) - [j3]Sanyi Yuan, Shangxu Wang, Chunmei Luo, Tieyi Wang:
Inversion-Based 3-D Seismic Denoising for Exploring Spatial Edges and Spatio-Temporal Signal Redundancy. IEEE Geosci. Remote. Sens. Lett. 15(11): 1682-1686 (2018) - 2017
- [j2]Li Deng, Sanyi Yuan, Shangxu Wang:
Sparse Bayesian Learning-Based Seismic Denoise by Using Physical Wavelet as Basis Functions. IEEE Geosci. Remote. Sens. Lett. 14(11): 1993-1997 (2017) - [j1]Sanyi Yuan, Shangxu Wang, Ming Ma, Yongzhen Ji, Li Deng:
Sparse Bayesian Learning-Based Time-Variant Deconvolution. IEEE Trans. Geosci. Remote. Sens. 55(11): 6182-6194 (2017)
Coauthor Index
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