Search Results - "He, Bingshou"

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  1. 1

    Elastic-Wave Reverse Time Migration Random Boundary-Noise Suppression Based on CycleGAN by Xu, Guohao, He, Bingshou

    Published in Journal of Ocean University of China (01-08-2022)
    “…In elastic-wave reverse-time migration (ERTM), the reverse-time reconstruction of source wavefield takes advantage of the computing power of GPU, avoids its…”
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  2. 2

    Geometric and kinematic analysis of faults bordering the Andaman sea continental shelves: a 3D seismic case study by Guo, Meng, Luan, Xiwu, Zhang, Huixing, He, Bingshou

    Published in Frontiers in earth science (Lausanne) (23-08-2023)
    “…To clarify the tectonic evolution of M15 block in the Andaman Sea, we perform a delicate study of fault geometry and dynamics using a 3D seismic data. The data…”
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  3. 3

    Source-Free P-SV Converted-Wave Reverse-Time Migration Using First-Order Velocity-Dilatation-Rotation Equations by He, Bingshou, Yao, Xinru, Shao, Xiangqi

    Published in Frontiers in earth science (Lausanne) (27-01-2022)
    “…The cross-correlation imaging condition between source- and receiver-wavefields is often used in the elastic wave reverse-time migration (RTM) to utilize P-…”
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  4. 4

    Research on the fluid dynamics interaction between submarine sand waves and seawater by seismic oceanography by Han, Tonggang, Chen, Jiangxin, He, Bingshou, Azevedo, Leonardo

    Published in Frontiers in Marine Science (12-05-2023)
    “…Introduction The seafloor is an important interface between the lithosphere and the hydrosphere, where processes related to circulation and energy exchange…”
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  5. 5

    Source-independent elastic envelope inversion using the convolution method by Li, Fang, Li, Xiaozhang, Ren, Ting, Ma, Guangke, He, Bingshou, Wang, Jichuan

    Published in Frontiers in earth science (Lausanne) (06-09-2023)
    “…Elastic full waveform inversion (EFWI) is a powerful technique. However, its strong non-linearity makes it susceptible to converging towards local extremes…”
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  6. 6

    Quantitative estimation of bubble volume fraction of submarine seep plumes by modeling seismic oceanography data by Han, Tonggang, Chen, Jiangxin, Azevedo, Leonardo, He, Bingshou, Xu, Huaning, Yang, Rui

    Published in Journal of oceanology and limnology (01-03-2023)
    “…Submarine seep plumes are a natural phenomenon in which different types of gases migrate through deep or shallow subsurface sediments and leak into seawater in…”
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  7. 7

    P- and S-wave angle-domain common-image gathers (ADCIGs) based on elastic-wave reverse-time migration by Bingshou, He, Haibo, Mou, Nan, Hu

    Published in Geological journal (Chichester, England) (01-08-2016)
    “…Elastic‐wave reverse‐time migration is an important imaging strategy because of its ability to image complex geologic structures and to efficiently extract…”
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  8. 8
  9. 9

    Target-oriented image-domain elastic least-squares reverse time migration by Wang, Mingqian, He, Bingshou

    Published in Journal of applied geophysics (01-10-2024)
    “…Elastic least-squares reverse time migration (ELSRTM), as an imaging method, offers advantages over conventional elastic reverse time migration (ERTM),…”
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  10. 10

    A method for extracting P‐SV‐converted wave angle‐domain common‐image gathers based on elastic‐wave reverse‐time migration by Ci, Qianqian, He, Bingshou

    Published in Geophysical Prospecting (01-09-2024)
    “…Multicomponent seismic technology utilizes the kinematic and dynamic characteristics of reflected P‐waves and converted S‐waves to reduce ambiguity in seismic…”
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  11. 11

    Deconvolutive Improved S Transform and Its Application in Hydrocarbon Detection by Wu, Xuefeng, Zhang, Huixing, He, Bingshou

    “…Seismic signals are usually non-linear and non-stationary. The Fourier transform based on stationary signal processing theory cannot depict the frequency…”
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  12. 12

    Seismic data reconstruction using Bregman iterative algorithm based on compressed sensing and discrete orthonormal wavelet transform by Wang, Wangyang, Zhang, Huixing, He, Bingshou

    Published in Geophysical Prospecting (01-05-2024)
    “…Due to the limitations of the actual acquisition environment in the field, especially in ocean bottom seismometer (OBS) acquisition, the acquired seismic data…”
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  13. 13

    Deconvolutive Frequency Corrected Three-parameter S Transform and Its Application in Tight Sandstone Reservoir by Wu, Xuefeng, Zhang, Huixing, He, Bingshou

    Published in IEEE geoscience and remote sensing letters (01-01-2023)
    “…As an effective time-frequency (TF) analysis method, S transform (ST) has an extensive application in signal processing. However, for broad-band seismic…”
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  14. 14

    Multi‐scale elastic full‐waveform inversion in a hybrid domain based on deconvolution objective function by Zhang, Huixing, Wang, Xin, Wang, Wangyang, He, Bingshou, Yang, Tao

    Published in Geophysical Prospecting (01-05-2024)
    “…High‐precision P‐wave and S‐wave velocity models are very important for seabed exploration. Elastic full‐waveform inversion is an effective way to obtain the…”
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  15. 15

    Time-synchroextracting of generalized S-transform and its application in fault identification by Zhang, Huixing, Wu, Xuefeng, He, Bingshou, Guo, Meng

    Published in Journal of applied geophysics (01-09-2023)
    “…Seismic signals are typical non-stationary signals, and time-frequency analysis method is a powerful tool for processing non-stationary signals, which is also…”
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  16. 16

    Adaptive Time-Synchroextracting S Transform and Its Application in Fault Identification by Wu, Xuefeng, Zhang, Huixing, He, Bingshou, Guo, Meng

    “…Time-frequency (TF) analysis is an important tool for seismic signal analysis, and through traditional methods, it is difficult to achieve high TF resolution…”
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  17. 17

    Memory Optimization in RNN-Based Full Waveform Inversion Using Boundary Saving Wavefield Reconstruction by Wang, Shaowen, Jiang, Yong, Song, Peng, Tan, Jun, Liu, Zhaolun, He, Bingshou

    “…In wave equation modeling, wavefields propagating over time can be regarded as feedforward in a recurrent neural network (RNN). Therefore, the seismic…”
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  18. 18

    Attention-Based Neural Network for Erratic Noise Attenuation From Seismic Data With a Shuffled Noise Training Data Generation Strategy by Wang, Shaowen, Song, Peng, Tan, Jun, He, Bingshou, Wang, Qianqian, Du, Guoning

    “…The supervised neural network-based method provides an effective way for seismic data denoising. The noise level of seismic erratic noise, i.e., outlier,…”
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  20. 20

    Deep learning for noise attenuation from the ocean bottom node 4C data by Wang, Shaowen, Tan, Jun, Song, Peng, He, Bingshou, Wang, Qianqian, Du, Guoning

    Published in Geophysical Prospecting (01-05-2024)
    “…The source vessel noise is a very common noise type in offshore seismic surveys. The state‐of‐art deep learning‐based methods provide an end‐to‐end framework…”
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