Adjoint-state based AVO Inversion Method
seismic segmentation and geobody detection in 3D seismic reflection data
Our project revolutionizes seismic image interpretation with advanced deep learning, using Convolutional Neural Networks (CNNs) to automate workflows and improve accuracy in subsurface exploration. Trained on synthetic seismic data from coal mines, our algorithm excels in identifying faults, folds, and flat layers.
The implemention of NPT, Disentangling Noise Pattern from Seismic Images: Noise Reduction and Style Transfer
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