Flow and phase separation in gas–liquid multiphase pumps is easy to occur, which
deteriorates their performance and mixed transportability. Many research achievements …

The variable-speed energy efficiency prediction model (EEPM) of subsea disc pump is the
key to achieve double gradient in deepwater drilling, and it has also been the difficulty of …

An Euler two-fluid model and a Shear Strain Transports (SST) turbulence model were used
to study the gas–liquid flow law in a diffuser of a Helico-Axial Multiphase Pump by building a …

In this study, a neural network model is developed for the prediction of oil flow rates in wells
lifted by electrical submersible pumps (ESPs). Three attributes of the model in this work …

Production data are essential for designing and operating electrical submersible pump
(ESP) systems. This study aims to develop artificial neural network (ANN) models to predict …

This chapter will attempt to provide an overview over some of the practical applications that
machine learning has found in oil and gas. The aim of the chapter is twofold: First, it is to …

In recent years, companies have employed numerous methods to lower expenses and
enhance system efficiency in the oilfield. Energy consumption has constituted a significant …

Accurate anomaly detection is critical for the electrical submersible pump (ESP) safety
monitoring. Nevertheless, the multivariate, nonlinear, and dynamic nature of the ESP data …

Instantaneous gas–liquid flow and distribution have an important influence on the
performance of a multiphase pump, especially under the high gas content conditions. How …

Resumo As Bombas Centrífugas Submersíveis (BCSs) são amplamente utilizadas como
método de elevação artificial. As BCSs podem operar sob condições operacionais severas …