Recent advancements in machine learning have ushered in a transformative era for seismic data analysis. By integrating sophisticated algorithms such as convolutional neural networks (CNNs), generative ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...

Seismic inversion and reservoir characterisation are complementary methodologies that jointly address the challenge of transforming seismic reflection data into quantitative models of subsurface ...