Intelligent drilling and completion implies using big data, AI, information engineering, control theory, and other advanced transformative technologies in the drilling and completion process.
Additionally, in intelligent drilling and completion, methods for the fusion of data-driven and physics-based models, few-sample learning, uncertainty modeling, and the interpretability and transferability of intelligent algorithms are research frontiers.
In recent years, numerous studies have focused on intelligent algorithms and their application. Advanced technologies, such as digital twins and physics-guided neural networks, are expected to play roles in drilling and completion engineering.
Vabø JG, Delaney ET, Savel T, Dolle N. Novel application of artificial intelligence with potential to transform well planning workflows on the Norwegian Continental Shelf. In: Proceedings of the SPE Annual Technical Conference and Exhibition; 2021 Sep 21–23; Dubai, UAE. Richardson: OnePetro; 2021.
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