Review of machine learning for hydrodynamics, transport, and reactions in multiphase flows and reactors
Artificial intelligence (AI), machine learning (ML), and data science are leading to a
promising transformative paradigm. ML, especially deep learning and physics-informed ML …
promising transformative paradigm. ML, especially deep learning and physics-informed ML …
Investigation of the characteristics and mechanisms of the layer inversion in binary liquid–solid fluidized beds with coarse particles
This paper adopts an optimized Euler–Lagrange method proposed in our previous work to
study the characteristics and formation mechanisms of layer inversion in binary liquid–solid …
study the characteristics and formation mechanisms of layer inversion in binary liquid–solid …
[HTML][HTML] Using machine learning to forecast and assess the uncertainty in the response of a typical PWR undergoing a steam generator tube rupture accident
TCH Nguyen, A Diab - Nuclear Engineering and Technology, 2023 - Elsevier
In this work, a multivariate time-series machine learning meta-model is developed to predict
the transient response of a typical nuclear power plant (NPP) undergoing a steam generator …
the transient response of a typical nuclear power plant (NPP) undergoing a steam generator …
Clustering sparse sensor placement identification and deep learning based forecasting for wind turbine wakes
A data-driven approach is an alternative to extract general models for wind energy
applications. A spatial sensitivity analysis is achieved using a probabilistic model to …
applications. A spatial sensitivity analysis is achieved using a probabilistic model to …
Virtual flow predictor using deep neural networks
R Mercante, TA Netto - Journal of Petroleum Science and Engineering, 2022 - Elsevier
Multiphase flowmeters are important to monitor oil wells, as they allow operators to obtain a
real-time estimate of the production. However, due to its high installation cost, uncertainty …
real-time estimate of the production. However, due to its high installation cost, uncertainty …
Multiphase flowrate measurement with time series sensing data and sequential model
Accurate multiphase flowrate measurement is challenging but vital in the energy industry to
monitor the production process. Machine learning has recently emerged as a promising …
monitor the production process. Machine learning has recently emerged as a promising …
The development of an AI-based model to predict the location and amount of wax in oil pipelines
J Kim, S Han, Y Seo, B Moon, Y Lee - Journal of Petroleum Science and …, 2022 - Elsevier
The petroleum that flows within pipelines can contain impurities to form a solid wax which,
when aggregated in sufficient qualities within the pipeline, can impair liquid flow and …
when aggregated in sufficient qualities within the pipeline, can impair liquid flow and …
Experimental investigation of sudden expansion's influence on the hydrodynamic behavior of different sub-regimes of intermittent flow
Sub-regimes of intermittent two-phase flows through a sudden expansion have been
investigated experimentally. Two pipes of 30 and 40 mm ID connected by a sudden …
investigated experimentally. Two pipes of 30 and 40 mm ID connected by a sudden …
The gas-liquid flow rate measurement based on multisensors and machine learning
Z Zhao, N Zhao, X Li, Y Zhu, L Fang, X Li… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Gas-liquid two-phase flow non-separation measurement plays a crucial role in industrial
production and two-phase flow theory research. In this paper, an intelligent multi-sensing …
production and two-phase flow theory research. In this paper, an intelligent multi-sensing …
Flow pattern identification of gas-liquid two-phase flow based on integrating mechanism analysis and data mining
The flow pattern identification of gas-liquid two-phase flow is very important to gas field
gathering pipeline. Due to the complexity of gas-liquid two-phase flow, it is difficult to …
gathering pipeline. Due to the complexity of gas-liquid two-phase flow, it is difficult to …