Advance Integrated Well and Facility Surveillance for Gas Condensate Field

Abstract

This paper demonstrates the successful implementation of an advanced integration of production system for well and facility surveillance, which incorporates the utilization of automated workflows, intelligent exception-based dashboards and KPI (Key Performance Indicator) screens for a giant gas condensate field for a major E&P operator. The incorporated case studies highlight how analytical tools, automation, and data integration enable proactive evaluation of the facility surveillance and reservoir management strategy, thereby supporting efficient and faster decision-making to achieve the desired target while extending the life of the wells.

In the current scenario, strong and effective reservoir management demands continuous, rigorous, and proactive reservoir surveillance tools. An intelligent integrated production optimization framework is being utilized as a single platform to combine information, processes, and multidisciplinary knowledge in a systematic and efficient manner. This allows management and end-users to proactively maintain engineering focus on problematic wells diagnostic and opportunity generation that support the execution of the business plan in a more coherent and reliable fashion. Using the real-time measurements in conjunction with an IAOM (Integrated Asset Operation Model) framework and collaborative feedback from the engineers, intelligent dashboards, and screens were designed to highlight the well and facility-related problems and highlighting decremental well behavior or facility bottlenecks.

Most of the intensive computational technical calculation and data aggregation from different sources, such as well testing and real-time production and injection measurements, are integrated with automatic workflows and displayed in visualization dashboards; thus, users can carry out purposeful analysis utilizing information in processed data to realize potential value. These dashboards measure the true well and facility performance towards operational objectives and production targets. Intelligent KPIs also helps in identifying well health-status, potential risks, and mitigate them for continuous improvement of short- and long-term recovery factors to obtain an optimum reservoir energy balance daily. In case of unexpected well performance behaviors, the dashboards provide crucial data insights, highlighting the root cause of bottlenecks. Additionally, the integrated models help in providing the recommendation for troubleshooting and support engineers in devising mitigation plan.

In order to have control over the large fields containing hundreds of wells, having integrated well and facility surveillance is the need of the hour. The advanced workflow and intelligent dashboards implemented in the asset tremendously helped in reducing the operational cost and increasing the average uptime per well per field, thereby providing opportunities to management and end-users to leverage the utmost value from a digital framework implementation for the purpose of daily well and facility surveillance.