Research of Rotor Speed Regulating Technology of ESPCP System Based on ANN
The key factors affecting the rotor speed of progressing cavity pumping system are analyzed. Taken the theoretical output volume, pressure and temperature at the pumps suction end, pressure and flow rate at the neck of well, and the oil viscosity as original inputs, the nonlinear mapping relationship between rotors rotational speed and its affecting factors was determined by means of two-layer neural network. With such ANN-based online rotor speed regulating system, the wear of rubber stator was slowed down, the life span was extended, stable and higher volumetric efficiency were obtained and flexibility and precision of control were improved.
oil exploitation progressing cavity pump neural network rotor speed regulation
Wang Shijie Kang Jian Xia Xinxin
Department of Manufacturing Engineering, School of Mechanical Engineering, Shenyang University of Technology Shenyang, Liaoning, 110023, China
国际会议
北戴河
英文
826-829
2007-06-06（万方平台首次上网日期，不代表论文的发表时间）