Solve your toughest petrophysical challenges with machine learning and deep learning techniques:
Machine learning enables clearer reservoir understanding and faster, more efficient data analysis so you can:
Run unsupervised facies classification machine learning algorithms utilizing a workflow that:
Predict missing curves using a CGG-provided deep learning workflow that you can easily adapt for your specific needs. In addition, Python-knowledgeable interpreters can build custom deep learning workflows. Shear Velocity is often required for seismic modeling, and accurate modeling of missing Delta T Shear curves is a critical part of the process.
Perform machine and deep learning using GeoSoftware's PowerLog Python Extensions solution to solve your toughest petrophysical challenges. Download the Machine Learning for Petrophysics flyer.
The benchmark for petrophysics, rock physics, facies analysis and statistical mineralogy. Collaborative multi-well log analysis made easy for better drilling decisions.
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