Machine Learning and Data Science in the Oil and Gas Industry

Chapter 11: Detecting Electric Submersible Pump Failures

Long Peng

Guoqing Han

Arnold Landjobo Pagou

Jin Shu    China University of Petroleum, Beijing, China

Abstract

Electric Submersible Pumps (ESP) are currently widely employed to help enhance production for nonlinear-flowing wells with high production and high water cut. A broken shaft is common in the oil industry, which leads to production disruptions, resulting in significant economic losses. The objective of this chapter is to evaluate Principal Component Analysis (PCA) as an unsupervised machine learning technique to detect the cause of the breakage of the ESP shaft. This method was successfully applied in the Penglai block of the Bohai Oilfield in China to detect the ESP shaft fracture ...