Risk and uncertainty inherent in energy exploration include unknown geological parameters, variations in fluid and rock properties, boundary conditions, and noisy observational data. Rigorous calibration of uncertainty for key reservoir engineering tasks and field optimization requires running a large number of forward simulations. Use cases range from history matching and probabilistic…
]]>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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