DeepCast Presents Poster at the 2019 Rice Data Science Conference

October 14, 2019

During the 2019 Data Science Conference, held on October 14-15, 2019, Bicheng Yan and Hector Klie presented the poster: “Automated Field Development Recommendation with Integration of Physics and AI”.

In this work, DeepCast describes the automation of workflows to deliver well-informed field development recommendations. The proposed technology allows engineers to perform optimization of different physical processes in a flexible manner, and ultimately enables them to play what-if scenarios between decision/uncertainty parameters and objective functions by advanced machine learning/AI models in an extremely efficient fashion. Recommendations involve automated data consolidation, physics-informed AI predictions, reservoir history matching, unsupervised uncertainty quantification via clustering and self-learning stochastic gradient optimizations.

During a highly visited poster session, DeepCast had the opportunity to show a new paradigm for streamlining field decisions associated with optimal completion/well design and drawdown under different attitudes towards risk.

DeepCast Presents Poster at the 2019 Rice Data Science Conference

Fig 1. Bicheng Yan presenting DeepCast's poster at the 2019 Rice Data Science Conference.

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