Electrical submersible pump (ESP) operation is compromised by free gas, resulting in premature failure and production losses new wells. It essential to detect the onset of abnormal operations. We develop a model that predicts ESP when gas level increases pump. The compares parameters with normal operating ranges; it shuts down necessary. used Schlumberger PIPESIM software (version 2017.01) perf...

The Electrical Submersible Pumping (ESP) system is one of the most commonly used artificial lift methods in petroleum industry and recent breakthrough this enclosed a capsule positioned on seabed skid. As it technology, with only small amount equipment currently operation, there clear need for greater understanding flow within geometry objective perfecting design promising submarine boosting sy...

This paper focuses mainly on application of Partial Connected Back Propagation Neural Network (PCBP) instead of typical fully connected neural network (FCBP), as PCBP with less connections learns faster than FCBP. The initial neural network is fully connected, after training with sample data, a clustering method is employed to cluster weights between input to hidden layer and from hidden to out...

The shaft is a critical component in ESP. In many cases, dismantle analyses cannot identify definitive root cause for failure. Several hypotheses have been studied to explain This paper will review typical failure modes; more specifically, the power source and consequence of be discussed. An analysis premature used an electrical submersible pump (ESP) lifting oil has carried out. During root-ca...

Abstract A supply and demand balance control method for an electrical submersible linear motor utilised in offshore oil exploitation is proposed this study. The permanent magnet replaced by based on switched reluctance motor. sensorless further enhances the stability of system. Meanwhile, a to maintain fullness plunger pump within ideal range. An established speed function allows dynamically al...