As the electric submersible pump (ESP) population increases, the requirement for continuous operation is required to ensure optimum oil sweep rather than depending on fewer number of ESPs. ESP outages, shutdowns and underperforming pumps have to be minimized to reduce operational cost and deferred production. In efforts to reduce pumps downtime, ESP monitoring operations were centralized in a production surveillance and optimization center. This paper illustrates the practices followed in the hub to enhance productivity, by preventing ESP trips and failures, and conducting optimization initiatives through collaborative efforts with different parties. By remote monitoring of real-time data of downhole sensor readings and surface data, the hub can identify ESP units operating in conditions that could lead to shutdowns and are identified to be preventable ESP trips. By capturing and predicting the downtime events, the objectives of reducing ESP downtime and production deferral is achieved. The hub monitors the individual unit's parameters with its operational confines to ensure that the ESP is running within the preferred boundaries to preserve the equipment's electrical and mechanical health. The observed conditions are referenced against the design and actions are taken accordingly to avert unnecessary trips. Upon the deployment of ESP monitoring, many benefits were realized ranging from improved asset performance to raising efficiency of manpower usage besides saving time. Deferred production was avoided through eliminating preventable trips under ESP monitoring. This practice not only prevents ESP downtime, but also has the goal of improving ESP efficiency levels, regarding motor and pump performance. Proactive measures are crucial in ESP production operations. In events where a probable ESP trip is predicted and actions are taken to optimize its operating conditions to prevent the trip, the number of ESP outages at the field level is reduced, thereby helping to sustain a healthy ESP well life cycle.

Nowadays, there is a massive amount of real time data that flows from the intelligent sensors to the petroleum engineers desktop. High quality data is required to utilize in production workflows and technical studies. The reliable transmitted data as real-time pressure and temperature will enable the petroleum engineer to track the performance of the wells, generate production strategies, and monitor the real-time production, and a lot of more workflows remotely from his/her desktop without jeopardizing the well condition or the reservoir structure. In Saudi Aramco, monitoring the quality of real-time data for validity, accuracy, consistency and intelligent field equipment integrity is accomplished via the utilization of state-of-art intelligent field data health monitoring platform. It provides an alarming system of problematic data and equipment. It also generates a daily data quality report for a specific intelligent field data transmission node. This paper is a continuation of the technical paper titled "Intelligent Field Real-Time Data Reliability Key Performance Indices" (IPTC-17997-MS, Kuala Lumpur, Malaysia, 10-12 December 2014). This paper will highlight the tangible benefits of implementing the new monitoring platform in four different examples that show the importance of having intelligent field data reliability tracking solution in each oil and gas company to improve the data reliability. Making the decision process accurate, through utilizing an advanced automated data management platform, is crucial butreceiving real-time quality data is essential.