Background
TASQ Implementation
This project focused on implementing TASQ, an advanced AI and machine learning solution, to optimize production operations for a major energy producer. The project focused on integrating multiple data sources, automating anomaly detection, and enabling production prioritization to improve decision-making and operational efficiency. By centralizing data, automating anomaly detection, and optimizing response prioritization, TASQ delivered transformative capabilities to the Remote Operations Centre (ROC).
Highlights
Expertly Managed Implementation
Directed the end-to-end implementation of TASQ, ensuring effective integration with existing systems and alignment with strategic objectives.
Data Integration Excellence
Integrated multiple asset data sources—including SCADA, Maximo, Aveva PI, and Well View—into a unified platform, providing comprehensive visibility for over 1,000 wells.
Accelerated Response Times
Enabled faster identification of anomalies and production deferment, significantly reducing response times to production challenges and improving production reliability.
Transforming the ROC Model
Enabled the Remote Operations Centre to shift from reactive management to proactive optimization, achieving a sustained increase in production efficiency across lift wells.