Seismic Image

Seismic imaging aims to create three-dimensional representations of subsurface geological structures from surface-recorded elastic waves, crucial for applications like oil exploration and carbon capture monitoring. Current research emphasizes improving image quality and interpretation through advanced machine learning techniques, including deep convolutional neural networks, generative models (like diffusion and GANs), and physics-informed neural networks, often incorporating active learning strategies for efficient data utilization. These advancements enhance the accuracy and speed of seismic interpretation, leading to better subsurface models and reduced uncertainty in various geoscientific and engineering applications.