Industrial engineers are turning to AI to build advanced process simulation solutions and accelerate progress toward fully autonomous operations in the energy, power, and chemicals industries. Deep reinforcement learning (DRL) agents, infused with AI, are helping transition traditional industrial automation to industrial autonomy for core control, field, and production processes.
]]>The energy industry’s digital transformation requires a substantial increase in computational demands for key HPC workloads and applications. This trend is exemplified by advanced seismic imaging methodologies such as reverse time migration (RTM) and full waveform inversion (FWI), where doubling maximum frequency can produce a 16x increase in computational workload. Similarly…
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