6 papers
PreAdaptFWI: Pretrained-Based Adaptive Residual Learning for Full-Waveform Inversion Without Dataset Dependency
Xintong Dong, Zhengyi Yuan, Jun Lin +3
Full-waveform inversion (FWI) is a method that utilizes seismic data to invert the physical parameters of subsurface media by minimizing the difference between simulated and observ…
Transformer for seismic image super-resolution
Shiqi Dong, Xintong Dong, Kaiyuan Zheng +3
Seismic images obtained by stacking or migration are usually characterized as low signal-to-noise ratio (SNR), low dominant frequency and sparse sampling both in depth (or time) an…
Self-Supervised Diffusion Model for 3-D Seismic Data Reconstruction
Xinyang Wang, Qianyu Ge, Xintong Dong +2
Seismic data reconstruction is an effective tool for compensating nonuniform and incomplete seismic geometry. Compared with methods for 2D seismic data, 3D reconstruction methods c…
Transformer For Low-frequency Extrapolating of Seismic Data
Zheng Cong, Xintong Dong, Shaoping Lu +2
Full waveform inversion (FWI) is used to reconstruct the physical properties of subsurface media which plays an important role in seismic exploration. However, the precision of FWI…
Modeling Seismic Wave Propagation in TTI Media Using Residual Perfectly Matched Layer
Yuqin Luo, Xintong Dong, Shiqi Dong +4
The perfectly matched layer(PML) is commonly used in wave propagation, radiation and diffraction problems in unbounded space domains. A new implementation scheme of PML is presente…
Seismic Interpolation Transformer for Consecutively Missing Data: A Case Study in DAS-VSP Data
Ming Cheng, Jun Lin, Xintong Dong +2
Distributed optical fiber acoustic sensing (DAS) is a rapidly-developed seismic acquisition technology with advantages of low cost, high resolution, high sensitivity, and small int…