Trending Content

Content Tagged: "artificial lift"

Filter Results

Clear

0

Artificial Lift Methods Featured Image

Artificial Lift Methods

Determine need for artificial lift. Evaluate and design system. Upon completion of this module, the participant should be able to: distinguish among the common methods of artificial lift and understand their advantages and limitations, select the most appropriate artificial lift method for a given set of well and economic conditions, perform basic surface and subsurface design calculations for gas lift and pump-assisted systems, and monitor artificial lift performance.

Artificial Lift Methods 2 Featured Image

Artificial Lift Methods 2

Upon completion of this module, the participant should be able to: distinguish among the common methods of artificial lift and understand their advantages and limitations, select the most appropriate artificial lift method for a given set of well and economic conditions, perform basic surface and subsurface design calculations for gas lift and pump-assisted systems, and monitor artificial lift performance.

ESP Smart Alarms for Real Time Diagnostics Featured Image

ESP Smart Alarms for Real Time Diagnostics

Continuous monitoring of electrical submersible pumps (ESPs) ensures optimal working operating conditions and avoids deferred oil production. With the increased population of ESPs deployed worldwide, a comprehensive alarm triggering system is at the center of modern oilfield production surveillance systems.

A Robust Data-Driven Method Using Multiphase Flow Meter Measurements for a Fully Autonomous Gas-Lift Optimization Featured Image

A Robust Data-Driven Method Using Multiphase Flow Meter Measurements for a Fully Autonomous Gas-Lift Optimization

Gas-Lift Optimization essentially relies primarily on the relationship between the Well Production Rate and the Gas-Lift Injection Rate. This presentation will show you how this robust Data Driven approach remove well models, correlations and personnel from the optimization process and improve drastically the wells’ performance in a fully autonomous manner.