Efficient Visualization of Overlap Results
Improvement in Process Efficiency
Improved UX with Modular Model Selection
The client, a French multinational integrated oil and gas company and one of the seven “Supermajor” oil companies in the world, wanted to augment the capabilities of their current software by providing refactoring and additional features that highlight seismic artifacts. The inherent data (geological) characteristics required a deeper customization of the model components.
Cloud Functions
Cloud ML Engine
Cloud Dataflow
GitLab
Quantiphi built a robust multi-functionality application for geoscientists to train seismic machine learning models and predict 2D seismic images and 3D volumes; allowing flexibility when running the models on Cloud Machine Learning Engine (CLME).
