Abstract

The previous chapters shed light on how intelligent models bring improvements in solving many problems related to petroleum industry from various standing points of view, including accuracy, robustness, and generalization. In this context, it is necessary to underline the weakness and strength of these intelligent models. To this end, this chapter aims at highlighting these main points by giving some deep comparisons with frequently applied counterpart paradigms, namely, the theoretical- and empirical-based approaches.

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