Shaowen Wang (王绍文)

Postdoctoral Fellows

Postdoctoral Fellow

Current

Research Interests

Deep learning based seismic data processing, Automatic differentiation framework-based seismic imaging tools development

Selected Publications

Wang S., Y. Jiang, P. Song, J. Tan, Z. Liu, B. He. (2023) Memory Optimization in RNN-based Full Waveform Inversion using Boundary Saving Wavefield Reconstruction: IEEE Transactions on Geoscience and Remote Sensing, doi:10.1109/TGRS.2023.3317529.

Wang S., P. Song, J. Tan, B. He, Q. Wang, G. Du. (2022) Attention-based neural network for erratic noise attenuation from seismic data with a shuffled noise training data generation strategy: IEEE Transactions on Geoscience and Remote Sensing, doi:10.1109/TGRS.2022.3197929.

Wang S., P. Song, J. Tan, B. He, P. Song, Q. Wang, et al. (2023) Deep learning-based attenuation for shear wave leakage from ocean-bottom node data: Geophysics, doi:10.1190/geo2022-0252.1.

Wang, S., Tan, J., Song, P., He, B., Wang, Q., & Du, G. (2023) Deep learning for noise attenuation from the OBN 4C data: Geophysical Prospecting, doi:10.1111/1365-2478.13336

Wang, S., Song, P., Tan, J., Xia, D., Du, G., & Wang, Q. (2022) Deblending of seismic data in the wavelet domain via a convolutional neural network based on data augmentation: Geophysical Prospecting, doi:10.1111/1365-2478.13277

Wang S., P. Song, J. Tan, C. Xie, B. Zhao, S. Mao, 2022, The least-squares reverse time migration with gradient optimization based on QHAdam: Chinese Journal of Geophysics (Chinese Edition), doi:10.6038/cjg2022P0364.s

Wang S., P. Song, J. Tan, C. Xie, S. Mao, Q. Wang, 2021, Gaussian-type weighted hybrid absorbing boundary for elastic wave simulation and its acceleration on GPU: Oil Geophysical Prospecting (Chinese Edition), doi:10.13810/j.cnki.issn.1000-7210.2021.03.007.

Education

2020-2024     Ph.D.  Marine geophysics, Ocean University of China

2018-2020     M.Sc. Geo-detection and information technology, Ocean University of China

2014-2018     B.Sc. Prospecting technology and engineering, Shandong University of Science and Technology

Professional Profile

 

Scientific and Professional Membership

 

Awards

2024 Outstanding graduate student of Ocean university of China

2022 China National Scholarship

2020 Graduate Scholarship of Ocean University of China

KAUST Affiliations

Physical Science and Engineering Division (PSE)

Research Interests Keywords

Deep learning Seismic imaging