摘要：With the rapid development of the offshore oil industry, electric submersible pumps have become more and more important. They are the main pumping equipment in oil well production and have huge advantages in terms of displacement and production costs. Due to the complex structure of the electric submersible pump, the bad working environment will cause failures. The failure of tubing string leakage is a common failure in oilfields; tubing string leakage of the electric submersible pump will reduce oil production. In order to reduce the economic loss of oil well production. This paper uses PCA and Mahalanobis distance to make the tubing Fault diagnosis of leakage. The feasibility of the algorithm is verified through experiments. The result shows that it can diagnose the failure time of pipe string leakage in advance and hence help us to reduce the maintenance cost of offshore oilfields.
其他摘要：With the rapid development of the offshore oil industry, electric submersible pumps have become more and more important. They are the main pumping equipment in oil well production and have huge advantages in terms of displacement and production costs. Due to the complex structure of the electric submersible pump, the bad working environment will cause failures. The failure of tubing string leakage is a common failure in oilfields; tubing string leakage of the electric submersible pump will reduce oil production. In order to reduce the economic loss of oil well production. This paper uses PCA and Mahalanobis distance to make the tubing Fault diagnosis of leakage. The feasibility of the algorithm is verified through experiments. The result shows that it can diagnose the failure time of pipe string leakage in advance and hence help us to reduce the maintenance cost of offshore oilfields.
