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Physics-Guided Machine Learning:

Putting AI to Work in Industry

Data science, artificial intelligence (AI), and machine learning can contribute significantly to the optimization of production operations in the oil and gas industry.

This paper explains how to use physical principles in feature engineering to improve machine learning outcomes. Equipped with energy, mass, and force balances; pressure, volume, and temperature (PVT) data for production fluids; and dimensional and order-of-magnitude analyses, oil and gas companies can squeeze additional value from a pure data-based approach while avoiding expensive, time-consuming, and often inaccurate simulations.

Download this white paper to learn:

  • Why using AI in heavy-asset industries is fundamentally different than in other industries.
  • How to add physics to machine learning models for better, more reliable results.
  • How physics-guided machine learning is helping oil and gas companies gain a competitive edge.

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