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Training Models for Seismic Prediction for Hydrocarbon Exploration
Training Models for Seismic Prediction for Hydrocarbon Exploration
Eliminate time and cost inefficiencies brought by traditional seismic prediction tools that frequently underperform in the hydrocarbon exploration and extraction sector.
Developed a deep learning model specifically designed to predict optimal drilling zones using seismic data. The model was trained on seismic and geophysical data inputs to generate accurate and reliable predictions. It leverages transformer-based sequence modeling for feature extraction, utilizing 3D seismic volumes to enhance predictive accuracy.
