The working capability of multi-stage pumps, such as electrical submersible pumps (ESPs)
handling multiphase flow, has always been a big challenge for petroleum industries. The …

This paper aims to introduce a method to maximize the profit of subsea petroleum fields
lifted by electrical submersible pumps (ESPs). Unlike similar previous research which dealt …

This paper equitably compares five different Artificial Intelligence (AI) models and a linear
model to tackle two real-world engineering data-driven modelling problems with small …

The focus of this article is fault-diagnosis of complex mechanical parts through the process
of their modal information using a multi-layer perceptron (MLP), a type of artificial neural …

This paper reports successful development of an exact and an efficient radial basis function
network (RBFN) model to estimate the head of gaseous petroleum fluids (GPFs) in electrical …

Well production measurement is critical for successful reservoir management and effective
decision making to optimize day-to-day field production. The production measurement or …

This paper equitably compares five different Artificial Intelligence (AI) models and a linear
model to tackle two real-world engineering data-driven modelling problems with small …

This paper proposes radial basis function network (RBFN) models to estimate the head of
gaseous petroleum fluids (GPFs) in electrical submersible pumps (ESPs) as an alternative to …

Multiphase flow in pipelines is an ubiquitous part of any oil and gas production system.
Developing fast, yet accurate multiphase flow models having utility in system design, control …