Deploying High Performance Computing Applications of AI/ML in the Energy Sector
Join us for this live event hosted by SPE Data Sciences & Engineering Analytics Organization by registering here.
Recent advances in autonomous learning and artificial intelligence algorithms have allowed for breakthrough calculations in a number of fields – particularly excelling at efficient data-driven forward modeling and solving computationally intensive inverse modeling problems.
Join Beyond Limits and NVIDIA September 16th at 9am CST as we present an overview of state-of-the-art reinforcement learning strategies and GPU-accelerated computational frameworks. We will briefly cover applications of these methods to model problems including mathematical puzzles, mining optimization and path planning, followed by a deep dive into the industrial problem of well placement optimization. Here, reservoir simulations are coupled to a Soft-Actor-Critic reinforcement learning technique that predicts optimal locations and temporal steps to drill wells to maximize the Net Present Value of cumulative production.
The optimal results obtained will be shared for a benchmark reservoir model. Subsequently, tangible breakthroughs enabled by deep reinforcement learning over conventional numerical strategies, as well as the future of HPC and AI in the energy sector will conclude the presentation.
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