coalmines

There are 0 repository under coalmines topic.

/ SeismicStructuralAnalysis-CNN-Object-Detection
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.
cnn deep-learning detectron2 machine-learning yolov7 yolov8 automatic-detection computer-vision convolutional-neural-networks instance-segmentation object-detection seismic-data seismic-interpretation synthetic-data coalmines seismic-synthetic
Language:Jupyter Notebook 6
/ ThrustFaults-Displacement-Distance-Analysis
This study offers critical automatic workflows to examine the displacement–distance profiles and insert the mechanical stratigraphy.
coalmines data-analysis data-science data-structures eda fault-analysis faults plotting-in-python subsurface-data subsurface-interpretation thrust displacement-distance fold-thrust models-visualisation
Language:Jupyter Notebook 1

/ SeismicStructuralAnalysis-CNN-Object-Detection