Abstract

Determining optimal locations and operation parameters for wells in oil and gas reservoirs has a potentially high economic impact. Finding these op- tima depends on a complex combination of geological, petrophysical, flow regimen, and economical parame- ters that are hard to grasp intuitively. On the other hand, automatic approaches have in the past been hampered by the overwhelming computational cost of running thousands of potential cases using reservoir simulators, given that each of these runs can take on

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