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By applying the neuro-simulation methodology to field development problems, it is shown that a substantial reduction in cost, energy and time factors of the conventional simulation approach are achieved by the pragmatic character of the artificial neural network technology.
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A robust approach is achieved inserting margins on all performances, so as to compensate for modeling inaccuracies.
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The proposed approach was achieved by, among others, appropriate selection of operational criteria applied to evolutionary model creation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com