Abstract: 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.

Abstract: A system, method, and computer program product are disclosed for surveillance of artificial lift systems. An Artificial Lift Surveillance Tool (ALST) is provided to identify artificial lift wells with production declines due to artificial lift well failures. Production well information is provided for a plurality of the production wells each being associated with an artificial lift system. Artificial lift system failure alerts for the plurality of production wells are received and processed on a computer. A signal indicative of the production well information for each of the plurality of production wells is received and processed on a computer. The plurality of production wells are displayed in a hierarchical ordering, such as a treemap, responsive to the signal.

Abstract: A system, method, and computer program product are disclosed for analysis of artificial lift systems. An Artificial Lift Analysis Solution (ALAS) is also provided to view and analyze artificial lift well data trends, prediction and detection event alerts, and to diagnose system conditions to facilitate production optimization. Production well information is provided for a plurality of the production wells each being associated with an artificial lift system. Artificial lift system failure alerts for the plurality of production wells are received and processed on a computer. A relevance measure for each of the artificial lift system failure alerts is determined responsive to the production well information. A summary of the artificial lift system failure alerts is displayed in an ordering based on the relevance measure.

Abstract: A system, method, and computer program product are disclosed for surveillance of artificial lift systems. An Artificial Lift Surveillance Tool (ALST) is provided to identify artificial lift wells with production declines due to artificial lift well failures. Production well information is provided for a plurality of the production wells each being associated with an artificial lift system. Artificial lift system failure alerts for the plurality of production wells are received and processed on a computer. A signal indicative of the production well information for each of the plurality of production wells is received and processed on a computer. The plurality of production wells are displayed in a hierarchical ordering, such as a treemap, responsive to the signal.

Abstract: A system, method, and computer program product are disclosed for analysis of artificial lift systems. An Artificial Lift Analysis Solution (ALAS) is also provided to view and analyze artificial lift well data trends, prediction and detection event alerts, and to diagnose system conditions to facilitate production optimization. Production well information is provided for a plurality of the production wells each being associated with an artificial lift system. Artificial lift system failure alerts for the plurality of production wells are received and processed on a computer. A relevance measure for each of the artificial lift system failure alerts is determined responsive to the production well information. A summary of the artificial lift system failure alerts is displayed in an ordering based on the relevance measure.

Abstract: 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.