Patent Document ID: 9292799
Application ID: 13830875

Base Claim:
1. A method for predicting failures in an artificial lift system, the method comprising: extracting one or more features from a dataset including time sampled performance of a plurality of artificial lift systems disposed across a plurality of different oil fields, the dataset including data from failed and normally operating artificial lift systems; identifying pre-failure signatures based at least in part on a moving window of operational data in the extracted features preceding a known failure; forming a learning model based on identified pre-failure signatures in the extracted features, the learning model configured to predict a failure of an artificial lift system based on observation of one of the identified pre-failure signatures in operational data received from the artificial lift system; and predicting one or more failures in an artificial lift system based on the learning model.

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Claim 11:
11. The method of claim 1 , further comprising evaluating a precision of the failure prediction.