In the 21st century, the concept of the digital oil field has gained global acceptance and application in gas and oil production. Among the various artificial lift tools, the electrical submersible pump (ESP) stands out as one of the most widely used, with approximately 3,000 installations across Occidental Petroleum Corporation fields. Over the past two decades, enhancements in Occidental in-house-developed ESP surveillance have enabled the company to optimize production and enhance reliability. The surveillance system has also combined extensive real-time operational data, production history, failure analysis, and equipment records.
Over the past few years, machine learning and artificial intelligence have made significant inroads into the energy industry, particularly in oilfield production management. Occidental pioneered the LiftSMART ESP tool system by harnessing these revolutionary technologies alongside its extensive ESP database. This integration promises improved efficiency, reliability, and overall performance in oilfield operations.
The LiftSMART system, with its ongoing development, currently comprises three main modules:
Operation Health Check: identifies unusual behaviors in the ESP and detects deviations from expected performance.
Auto-Advisory and Optimization: offers suggestions for optimizing ESP operations and provides practical recommendations.
Failure Prediction: generates survival curves for each ESP, helping to predict potential failures, enabling proactive maintenance, and minimizing downtime.
