发明名称 System and method for failure detection for artificial lift systems
摘要 A computer-implemented artificial lift detection system, method, and software are provided for failure detection for artificial lift systems, such as sucker rod pump systems. The method includes providing artificial lift system data from an artificial lift system. Attributes are extracted from the artificial lift system data. Data mining techniques are applied to the attributes to determine whether the artificial lift system is detected to fail within a given time period. An alert is output indicative of impending artificial lift system failures.
申请公布号 US9280517(B2) 申请公布日期 2016.03.08
申请号 US201213531127 申请日期 2012.06.22
申请人 UNIVERSITY OF SOUTHERN CALIFORNIA 发明人 Liu Shuping;Raghavendra Cauligi Srinivasa;Liu Yintao;Yao Ke-Thia;Balogun Oluwafemi Opeyemi;Olabinjo Olanrewaju;Chinnapparaja Gunasekaran Dinesh Babu
分类号 G06F15/18;G06F17/10;E21B43/12;E21B44/00;E21B47/00 主分类号 G06F15/18
代理机构 Pillsbury Winthrop Shaw Pittman, LLP 代理人 Pillsbury Winthrop Shaw Pittman, LLP
主权项 1. A method of monitoring a plurality of artificial lift systems in a hydrocarbon reservoir, the method being implemented on a computer system, the method comprising: monitoring a plurality of attributes of the plurality of artificial lift systems to collect a data set characterizing performance of the plurality of artificial lift systems, each one of the plurality of artificial lift systems having a plurality of attributes; applying dimensionality reduction techniques to the collected data set to project the collected data set into a reduced dimensional space; clustering the collected data set in the reduced dimensional space to generate a labeled training data set; wherein a portion of the collected data having the reduced dimension form clusters that contain known failures collected during a period of time are used to label another portion of collected data during another period of time from the same clusters as containing failures to generate the labeled training data set; applying a machine learning algorithm using the labeled training data set to boost learning and build a failure detection model for the plurality of artificial lift systems; applying the failure detection model to another collected data set from the plurality of artificial lift systems; and automatically generating an alert in response to identification of a data value in said another collected data set from the plurality of artificial lift systems indicating a fault in an artificial lift system in the plurality of artificial lift systems that generated the data value indicating the fault.
地址 CA US