This repository contains the implementation of Convolutional Neural Network (CNN), Physics-Informed Neural Network (PINN), and Transformer Neural Network (TNN) models for identifying multiphase flow ...
Artificial neural networks (ANNs) have emerged as a transformative tool in the measurement and analysis of multiphase flows, where they contribute to enhanced accuracy and efficiency in characterising ...
Abstract: Water cut measurement is crucial in oil–water multiphase flows, particularly in late-stage oilfield extraction, where high water production presents significant operational challenges. This ...
A multiphase meter used for testing wells producing heavy oil led to increased production and improved the understanding of reservoirs in the Yombo field, off Congo (Brazzaville). A unit of Perenco SA ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Multiphase reactors (MPRs) are crucial in converting raw materials into essential ...
ABSTRACT: The numerical model of a slab mold with a section of 180 mm × 650 mm for three-dimensional flow field analysis was established based on the continuous casting process conditions in a factory ...
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