Global model for failure prediction for artificial lift systems
US9292799B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Mar 14, 2013 |
| Grant date | Mar 22, 2016 |
| Priority date | — |
| Expiry date | May 9, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/45014
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for predicting failures in an artificial lift system are disclosed. One method includes 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. The method also includes 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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.