... solutions such as progressive cavity pumps and sucker rod pumps. real time system production monitoring production control artificial lift system reservoir surveillance low flow rate upstream oil & gas fluctuation psia holistic esp design geometric model machine learning artificial...

... induction motor high-temperature condition petroleum engineer artificial lift system power plant permanent magnet motor test bench runlife artificial intelligence high-temperature geothermal application turkey magnet motor gsp system Introduction The Earth's heat (preserved from the time...

... understanding of the influence of each parameter on NGSE. These are important results as they equip the ESP engineer with additional knowledge to maximise the NGSE from design stage to pumping operations. reservoir surveillance upstream oil & gas ngse experiment artificial intelligence prado...

... proposes leveraging a powerful multidimensional state engine known as automated events detection (AED), working together with an artificial intelligence agent, to respond to these stressful events and subsequently improve actions using a reinforcement learning (RL) scheme. Motivations of this approach...

... learned while deploying this technology, including safety and economics evaluation to understand the conditions that maximize return on investment (ROI) and total cost of ownership (TCO). artificial intelligence sustainable development artificial lift system sustainability pmm energy...

... temperature reduction production control production logging frequency temperature rise exhibition voltage downthrust bearing artificial intelligence case study upstream oil & gas camilleri esp application no-flow event flowrate Introduction Since the introduction of ESPs over 100...

.... Introduction intervención de pozos petroleros production enhancement artificial lift system artificial intelligence upstream oil & gas subsea system well intervention electrical waveform ewm technology electrical waveform monitoring perdido spar operator vfd esp current waveform subsea...

... applicable to any asset in order to better understand the drivers behind ESP runlife performance. artificial intelligence williston basin survival probability upstream oil & gas esp survival curve producing formation machine learning failure mode watercut dataset kaplan meier analysis...

... information formats from several activities in the ESP operation lifecycle. This paper proposes a novel artificial intelligence workflow to improve the efficiency of the DIFA process using an ensemble of machine learning (ML) algorithms. This ensemble of algorithms brings together structured/unstructured data...

... to produce an under developed, shallower area of the field using Electrical Submersible Pumps (ESP) as the lift method. Background Artificial Intelligence offshore Brunei knowledge Upstream Oil & Gas ESP operation Operation team competency plan artificial lift system platform esp...

..., cable, splice, MLE / pothead, motor end turn, motor bearing, sensor, shafts) and short runlives. This paper will put the information and practices in the hands of the operator to act to improve ESP runlife. Artificial Intelligence Upstream Oil & Gas frequency insulation power quality...

... termination ttesp system architecture ttesp deployment cable ESP upper completion ttesp cable termination Alternatively Artificial Intelligence operation completion availability deployment deployment cable assembly reliability installation Introduction Operators are moving into more...

... Artificial Intelligence general discussion application bearing failure frequency th harmonic VSD artificial lift system inspection high frequency content topology Upstream Oil & Gas failure mode voltage mode filter power quality ESP system bearing waveform harmonic content...

... models. Proven methods used in the power distribution industry should be adopted to create artificial lift specific testing criteria and cable run-life models using industry run-life data. Artificial Intelligence withstand testing tan-delta value Upstream Oil & Gas insulation ieee 2013...

... lift system completion vendor-1 system Artificial Intelligence cccp operation requirement Upstream Oil & Gas alternative esp deployment offshore oilfield angola ESP cable cable procedure economics installation TEC line society of petroleum engineers manufacturer Background...

... equipment changes will be discussed: Packer penetrator Pump diffusers ESP Motor New Seal construction An overview of the ESP equipment reliability spanning the lifetime of Peregrino's operations will also be described in this paper. Artificial Intelligence machine learning artificial...

.... One of the major priorities of the authors in this study was to use the results to better operate running wells today, by measuring the average days between shutdowns combined with Weibull reliability, an analysis tool is built to higlight specific wells that are at risk of failure. Artificial...

... prediction mechanistic model Artificial Intelligence high-viscosity fluid flow recirculation loss Engineering Viscosity Effect ESP correction factor society of petroleum engineers centrifugal pump pump performance experimental data performance curve impeller Introduction Similar...

... frequency Pattern Recognition Upstream Oil & Gas ESP real time system Artificial Intelligence PDO pump efficiency operation optimization net oil gain validation case study net oil production Engineer surveillance intake pressure oil gain Efficiency well model functionality automatic...

.... Artificial Intelligence reliability behavior permanent stop category artificial lift system install number ESP installation day category ESP Reliability ESP conclusion Upstream Oil & Gas calculation survivability curve hazard plot ESP failure society of petroleum engineers reliability...