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An Energy Saving System for a Beam Pumping Unit.

Hongqiang Lv1, Jun Liu2, Jiuqiang Han3

  • 1School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China. hongqianglv@mail.xjtu.edu.cn.

Sensors (Basel, Switzerland)
|May 18, 2016
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Summary
This summary is machine-generated.

This study introduces an Internet of Things (IoT)-based Energy Saving System for Beam Pumping Units (ESS-BPU). The system optimizes stroke speed and balance, significantly reducing energy waste in oil production.

Keywords:
Internet of Thingsbalance degree estimationbeam pumping unitenergy savingpump dynamometer cardstroke speed adjustmentsurface dynamometer card

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Area of Science:

  • Petroleum Engineering
  • Artificial Lift Systems
  • Industrial IoT Applications

Background:

  • Beam pumping units are crucial for oil extraction but suffer from low energy efficiency, particularly in later stages of wells.
  • Inefficiencies stem from suboptimal stroke speed and balance deviation, leading to significant energy loss.
  • Existing methods for energy saving require manual intervention and lack real-time optimization.

Purpose of the Study:

  • To propose and evaluate an Energy Saving System for Beam Pumping Units (ESS-BPU) leveraging Internet of Things (IoT) technology.
  • To develop a system capable of real-time monitoring and automatic adjustment of pumping unit operational parameters.
  • To demonstrate the effectiveness of the proposed system in reducing energy consumption and improving operational efficiency.

Main Methods:

  • Implementation of an ESS-BPU integrating four sensor types: load, angle, voltage, and current sensors.
  • Utilizing an on-site controller to process sensor data for automatic stroke speed adjustment and real-time balance estimation.
  • Enabling remote supervision and data analysis via web browser on computers or smartphones.

Main Results:

  • The ESS-BPU successfully reduced energy loss by optimizing stroke speed and rectifying balance deviation.
  • Real-time data analysis confirmed the system's capability to dynamically adapt to changing well conditions.
  • Practical application demonstrated a measurable decrease in energy consumption compared to conventional methods.

Conclusions:

  • The proposed IoT-based ESS-BPU offers a viable solution for enhancing energy efficiency in beam pumping operations.
  • Real-time monitoring and automated control are key to minimizing energy waste associated with stroke speed and balance.
  • The system provides a pathway for improved operational economics and sustainability in the oil production industry.