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A Cloud-native AI platform for subsurface data analysis and modeling

To overcome the challenges for streamlining the insertion of AI technologies into the day-to-day workflow of geoscience, Kognitus developed NAUTILUSÂŪ.
NAUTILUSÂŪ helps geologists, geophysicists, petrophysicists, and reservoir engineers to quickly analyze large-volume subsurface datasets using the latest cloud computing technology and ML/DL techniques without coding.

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Flexibility and agility to fit a wide range of subsurface applications

NAUTILUSÂŪ is a versatile solution with a web interface that can adapt to most geoscience workflows through a modular structure. Users can build their workflow or use a built-in workflow dedicated to a specific domain.

NAUTILUSÂŪ can ingest and process data formats for Well, Seismic, and Reservoir Grids through an intuitive interface to empower non-developer geoscientists with the latest AI algorithms. NAUTILUSÂŪ can be applied to a wide range of subsurface challenges in petroleum E&P, such as:

  • Reservoir rock property prediction,
  • Seismic (faults, horizons, facies) interpretation,
  • Well log correlation,
  • Seismic inversion.

Data Integration + Automation + Powerful Algorithms

A series of automated processes facilitate data preparation and algorithm and feature selection. Furthermore, to overcome difficulties in integrating different sources and scales, NAUTILUSÂŪ is capable of exchanging, filtering, and merging the various input data into a Unified “Smart Table” suitable for the input of ML algorithms, taking into account the spatial relationship between them.
NAUTILUSÂŪ incorporates several standard pointwise Machine Learning algorithms (SVM, XGBoost, Neural Networks, etc..), as well as 1D/2D/3D Convolutional Neural Networks. All combinations of Algorithms/Features can be tested to advise the best solution for a given prediction. Furthermore, the platform saves the entire workflow with its parametrization, which can be deployed over the whole database when a model achieves satisfactory criteria.

Visit our Case Studies section and contact us to discuss your technical and business challenges.