The accurate estimation of production is the bottleneck technique that constraints the
efficient development of oil and gas fields. However, such multivariate and asymmetric …

The network of interactions among fluid elements and coherent structures gives rise to the
incredibly rich dynamics of vortical flows. These interactions can be described with the use …

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 …

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 …

The solid–fluid two-phase flow with coarse particles is an important research object in the
two-phase transportation field, such as deep-sea mining. This paper adopts the resolved …

This study examines the capabilities of a data-driven workflow for automated key feature
identification in reactive flows. The proposed approach aims at expediting the analysis of …

Two different two-phase flow regimes including slug and dispersed flows are examined
through the implementation of system identification methods to attain reduced-order models …

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 …

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 …

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 …