Study on Oil Production Conditions Recognition Based on Standard Error Algorithm

The dynamometer card contains plenty of information features of equipment status, technology, and conditions in oil production. It is of great significance to identify such important information accurately, rapidly, and conveniently for safe and reliable operation of the pumping unit, improving oil production technology, and real-time monitoring of oil production performance. A new method was presented to recognize oil production equipment conditions based on a standard error algorithm and also develop a mathematical model of a standard error matching algorithm. An argument about matching algorithms correlating to the degree of difference between graphics is first proposed. The reliability of the standard error matching algorithm and classic matching algorithm are compared in detail. An intensive study shows that the standard error matching algorithm highly correlates to the degree of difference between graphics, and the reliability of the standard error algorithm is better than that of the classical matching algorithms. A large number of dynamometer card recognitions have shown that standard error-matching algorithm has a fairly high reliability. Furthermore, this algorithm has terrific recognition accuracy especially to those dynamometer cards with minute differences.