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.
machine-learning computer-vision deep-learning cnn convolutional-neural-networks object-detection instance-segmentation synthetic-data automatic-detection seismic-data detectron2 yolov7 seismic-interpretation yolov8 seismic-synthetic coalmines
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Updated
Nov 26, 2023 - Jupyter Notebook