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Accelerating Energy Solutions with Artificial Intelligence and Machine Learning
Accelerating Energy Solutions with Artificial Intelligence and Machine Learning

Director’s Corner

by Brian Anderson, PhD.

Today, we have access to more data than ever before. The challenge in this era of information is how to make sense of the colossal store of data and knowledge. NETL has long been at the forefront of applying advanced computational science tools to solve complex problems. Now, we rely on artificial intelligence (AI) and machine learning (ML) to quickly analyze massive datasets for answers needed to develop technology solutions to America’s energy challenges.

In energy research, AI and ML are enabling innovations across a range of applications, from optimizing our electrical grid to boosting the efficiency and reliability of coal-fired power plants to methane leak detection and sensor applications in many sectors.

In collaboration with our project partners, NETL is applying AI/ML to develop real-time health monitoring for gas turbines and predictive maintenance techniques. We’re using AI/ML to predict novel materials for fossil energy applications, from hypothesis to validation. And, we’re identifying data as input for models to accelerate innovation and technology development.

Using AI/ML, researchers can rapidly extract knowledge from complex data, and NETL researchers are using this benefit to enable dramatic improvements in subsurface visualization, dynamic forecasting and autonomous control. The result is optimized operations in complex subsurface systems, such as oil and gas operations and carbon storage reservoirs. AI/ML is improving resource recovery efficiency, enabling real-time early warnings for incident prevention and minimizing environmental impacts.

Throughout the month of March, NETL is featuring our work with AI and ML. Visit our newsroom to learn more about:

  • How NETL researchers are accelerating computational fluid dynamics code using TensorFlow machine learning software.
  • How NETL researchers are using AI to optimize oil and gas production.
  • How Senior Data Scientist Chung Yan Shih is making a difference in energy research by using computational analysis to improve the efficiency, productivity and environmental safety in the natural gas industry.

AI and ML have transformed energy research and our ability find answers to complex problems. The stories featured this month are just a few examples of how NETL is applying these tools in our mission to mission to discover, integrate and mature technology solutions to enhance the nation’s energy foundation and protect the environment for future generations.