Identification for Sucker-Rod Pumping System’s Damping Coefficients Based on Chain Code Method of Pattern Recognition

2007 ◽  
Vol 129 (4) ◽  
pp. 434-440 ◽  
Author(s):  
Hongzhao Liu ◽  
Baixi Liu ◽  
Daning Yuan ◽  
Jianhua Rao
Keyword(s):  
Pattern Recognition ◽  
Euclidean Distance ◽  
Simulation Program ◽  
Similar Degree ◽  
Chain Code ◽  
Damping Coefficients ◽  
Pumping System ◽  
Sucker Rod ◽  
Dynamometer Card ◽  
Shape Characteristics

In this paper, a method for identifying the damping coefficients of a directional well sucker-rod pumping system is put forward by means of the chain code method of pattern recognition. The 24-directional chain code is provided to encode the dynamometer card curve. The parametric equation of the dynamometer card curve is transformed into Fourier series whose coefficients can be computed according to the curve’s chain codes. By means of these coefficients, shape characteristics of the curve are extracted. The Euclidean distance is introduced as the measurement of similar degree between the shape characteristics of measured dynamometer card and that of simulated dynamometer card. Changing the value of viscous damping coefficient and Coulomb friction coefficient in the simulation program, different simulated dynamometer cards are obtained. Substituting their shape characteristics to the Euclidean distance, respectively, a series of distances are acquired. When the distance is less than the given error, the corresponding values of the damping coefficients in the simulation program are regarded as real damping coefficients of the sucker-rod pumping system of directional well. In the end, an example is provided to show the correctness and effectiveness of the presented method.

A New Recognition Method for Damping Coefficients of Rod Pumping System of Directional Well

2006 ◽  
Author(s):  
Baixi Liu ◽  
Hongzhao Liu ◽  
Daning Yuan ◽  
Jianhua Rao
Keyword(s):  
Euclidean Distance ◽  
Damping Coefficient ◽  
Simulation Program ◽  
Similar Degree ◽  
Recognition Method ◽  
Chain Code ◽  
Damping Coefficients ◽  
Pumping System ◽  
Dynamometer Card ◽  
Shape Characteristics

In this paper, a pattern recognition method is put forward to identify damping coefficients of rod pumping system of directional well by using characteristics space mapping. The 24-direction chain code is presented to encode the curve of dynamometer card. The parametric equation of the dynamometer card curve is transformed into Fourier series whose coefficients can be computed according to the curve’s chain codes. By means of those Fourier coefficients, shape characteristics of the curve are extracted. Euclidean distance is introduced as the measurement of similar degree between the shape characteristics of measured dynamometer card and that of simulated dynamometer card. Changing the value of viscous damping coefficient and Coulomb damping coefficient in the simulation program, different simulated dynamometer cards are obtained. Substituting their shape characteristics to the Euclidean distance, respectively, a series of distances are acquired. When the distance is little than the given error, the corresponding values of the damping coefficients in the simulation program are regarded as real damping coefficients of the rod pumping system of directional well. In the end, an example is provided to show the correctness and effectiveness of the presented method.

Analysis on Failure Mechanism of Sucker Rod Pumping System

2014 ◽  
Vol 875-877 ◽  
pp. 1219-1224 ◽  
Author(s):  
Hua Liang ◽  
Xun Ming Li
Keyword(s):  
Influence Factors ◽  
Work Conditions ◽  
Water Pump ◽  
Fault Probability ◽  
Deep Well ◽  
Pumping System ◽  
Sucker Rod ◽  
Comprehensive Survey ◽  
Dynamometer Card ◽  
Pumping Equipment

There is the higher fault probability under the bad work conditions of the rod pumping system.According to the failure of the sucker rod pumping installation, a comprehensive survey is carried out. There is many influence factors of deep well pump working downhole, not only influenced by the machine, wells, pumping equipment, but also by sand, wax, gas, water. Pump conditions can be diagnosed by surface dynamometer card, surface dynamometer card is the first-hand information collected in pumping well of oilfields. By analyze the Characteristics of the different fault dynamometer, Lay the foundation for the further fault diagnosis and prediction. The different pattern of the different dynamometer is important.

scholarly journals Automatic Recognition of Sucker-Rod Pumping System Working Conditions Using Dynamometer Cards with Transfer Learning and SVM

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5659
Author(s):  
Haibo Cheng ◽  
Haibin Yu ◽  
Peng Zeng ◽  
Evgeny Osipov ◽  
Shichao Li ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Transfer Learning ◽  
Working Conditions ◽  
Domain Knowledge ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Pumping System ◽  
Artificial Lift ◽  
Sucker Rod ◽  
Dynamometer Card

Sucker-rod pumping systems are the most widely applied artificial lift equipment in the oil and gas industry. Accurate and intelligent working condition recognition of pumping systems imposes major impacts on oilfield production benefits and efficiency. The shape of dynamometer card reflects the working conditions of sucker-rod pumping systems, and different conditions can be indicated by their typical card characteristics. In traditional identification methods, however, features are manually extracted based on specialist experience and domain knowledge. In this paper, an automatic fault diagnosis method is proposed to recognize the working conditions of sucker-rod pumping systems with massive dynamometer card data collected by sensors. Firstly, AlexNet-based transfer learning is adopted to automatically extract representative features from various dynamometer cards. Secondly, with the extracted features, error-correcting output codes model-based SVM is designed to identify the working conditions and improve the fault diagnosis accuracy and efficiency. The proposed AlexNet-SVM algorithm is validated against a real dataset from an oilfield. The results reveal that the proposed method reduces the need for human labor and improves the recognition accuracy.

Modeling And Implementation Of A System For Sucker Rod Downhole Dynamometer Card Pattern Recognition

2003 ◽  
Author(s):  
L. Schnitman ◽  
G.S. Albuquerque ◽  
J.F. Corrêa ◽  
H. Lepikson ◽  
A.C.P. Bitencourt
Keyword(s):  
Pattern Recognition ◽  
Sucker Rod ◽  
Dynamometer Card

scholarly journals Prediction and Analysis of Polished Rod Dynamometer Card in Sucker Rod Pumping System with Wear

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Dongyu Wang ◽  
Hongzhao Liu
Keyword(s):  
Initial Conditions ◽  
Abrasive Particle ◽  
Particle Diameter ◽  
Wear Volume ◽  
Wear Time ◽  
Pumping System ◽  
Sucker Rod ◽  
Dynamometer Card ◽  
Wear Law ◽  
Polished Rod

In the oil production process, the wear of friction pairs in sucker rod pumping installations will increase over time, which leads to the failure of the sucker rod pumping system. In order to study the effect of wear on the sucker rod pumping system, a wear model between the plunger and pump barrel was established. By analyzing the wear law, the wear volume and wear time of the pump barrel were calculated under abrasive wear. The forces of the sucker rod microunit were analyzed, and the wave equation of the sucker rod was established. Based on the given boundary and initial conditions, a mixed difference method was used to solve the equation. Taking the no. L2111 well of an oilfield as an example, the change curves of the wear volume and wear time with abrasive particle diameter were plotted, and the polished rod dynamometer card considering wear was predicted. The results showed that the increased clearance caused by wear will reduce the polished rod load on upstroke of the sucker rod pumping system, which could provide a theoretical basis for the next fault diagnosis.

Key Technologies of Sucker Rod Pump Card Diagnosis Based on BP Neural Network

2011 ◽  
Vol 201-203 ◽  
pp. 433-437
Author(s):  
Xiao Dong Wu ◽  
Rui Dong Zhao ◽  
Zhang Hao ◽  
Tao Zhen ◽  
Su Lei
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Production Engineering ◽  
Pumping System ◽  
Artificial Lift ◽  
Sucker Rod ◽  
Key Technologies ◽  
Hidden Layer ◽  
Dynamometer Card ◽  
Selection Of

Sucker rod pumping is a dominated artificial lift method for oil production engineering. In the production process, diagnosing the condition of pump using dynamometer card is vitally significant to monitor and manage the pumping system. With the ability to reflect arbitrary non-linear mappings, the BP neural network can be used in pattern recognition of the pump dynamometer card. In this paper, some key technologies of establishing reasonable neural network are introduced. The number of neurons in input layer depends on the selection of characteristic value. The number of neurons in hidden layer can be obtained by some models, optimum value will be chosen out. The number of neurons in output layer depends on the recognized behavior of pump. After the construction of neural network, the more effective and practical BP neural network will be obtained by suitable samples and appropriate training strategies.

A Fault Diagnosis of Suck Rod Pumping System Based on SVM

2013 ◽  
Vol 307 ◽  
pp. 285-289 ◽  
Author(s):  
Wei Wu ◽  
Yu Zhou ◽  
Hang Xin Wei
Keyword(s):  
Fault Diagnosis ◽  
Support Vector ◽  
Oil Well ◽  
Pump System ◽  
Indicator Diagram ◽  
Invariant Moments ◽  
Pumping System ◽  
System A ◽  
Fault Type ◽  
Shape Characteristics

Aiming at the defects of fault diagnosis in the traditional method for sucker rod pump system, a new method based on support vector machine (SVM) pump fault diagnosis is proposed. Through studying the theory of invariant moment and the shape characteristics of pump indicator diagram, seven invariant moments is extracted from the indicator diagram as a pumping unit well condition of the characteristic parameters. Then these parameters are pretreatment, and it makes up seven eigenvector which are regarded as the input eigenvector of the SVM. The experiment indicates that the method can not only detect the fault of the pumping oil well but also can recognize the fault type of it, which is very effective for safety protection and fault diagnosis of the pumping oil.

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