Shuai Zhou

A Hybrid CNN-Transformer Network for Linear Noise Suppression in 3D Seismic Data

Abstract 3D seismic data acquisition, processing, and analysis have become increasingly prevalent in modern geophysical exploration. However, various types of coherent noise, especially linear noise, can cause serious interference and effective noise reduction techniques are crit...

Enhanced 3D Gravity Inversion Using ResU-Net with Density Logging Constraints: A Dual-Phase Training Approach

Abstract Gravity exploration has become an important geophysical method due to its low cost and high efficiency. With the rise of artificial intelligence, data-driven gravity inversion methods based on deep learning (DL) possess physical property recovery capabilities that conven...