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Keywords: machine learning
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Proceedings Papers

Publisher: ISAVFT
Paper presented at the ISAVFT 12th North American Conference on Multiphase Production Technology, May 22–24, 2024
Paper Number: ISAVFT-2024-165
... research aimed at further enhancing modelling capabilities to meet the demands of the next generation of challenges on the horizon. artificial intelligence flow in porous media production monitoring machine learning production logging production control isavft ltd flow model liquid holdup...
Proceedings Papers

Publisher: ISAVFT
Paper presented at the ISAVFT 12th North American Conference on Multiphase Production Technology, May 22–24, 2024
Paper Number: ISAVFT-2024-213
... deterministic predictions. In contrast, machine learning can continuously learn from data and provide stochastic results, complementing existing mechanistic models. In this study, we developed a stochastic deep ensemble neural network applied to gas-liquid pipe flow and tested it against lab data to predict...
Proceedings Papers

Publisher: ISAVFT
Paper presented at the ISAVFT 12th North American Conference on Multiphase Production Technology, May 22–24, 2024
Paper Number: ISAVFT-2024-339
..., and leveraging machine learning to predict void fraction and flow pattern. A comprehensive dataset is compiled including 1500 points from 11 studies. The models are developed and evaluated for two cases, one using dimensional features, and then using dimensionless parameters. LGBM and CatBoost models perform...

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