Abstract

Real-time electric submersible pump (ESP) surveillance is becoming a standard in the oil industry, and many successful cases of applying 24/7 monitoring have been recorded around the world. Kuwait has more than 1,300 ESP installations, with the majority containing both downhole and surface sensors along with SCADA connectivity. Real-time surveillance is a relatively new concept in Kuwait because previous attempts were unsuccessful due to complications in the implementation. For the current application, it was necessary to set up the process without incurring additional costs and additional workforce. These challenges limited the process and application of real-time surveillance in Kuwait. Because increasing the workload with the same manpower risks loss in quality of implementation, it was necessary to improve the productivity of surveillance activities to cover more wells with the same workforce. The method of applying alarms was modified to speed up access and updates. Displays were redesigned for uniformity, resulting in an easy-to-navigate and user-friendly tool for monitoring. Decentralizing the surveillance center into smaller field units was also found to improve communications with field engineers. Improving the response time of identifying, diagnosing, and taking preventive actions is crucial in avoiding downtime. Multiple tools were built to identify triggered alarms to notify the surveillance engineers. A live diagnostic tool is built to improve the accuracy of root cause analysis and to recognize threats faster. GPS vehicle trackers are used to identify the closest service provider to take preventive action on every well. Sharing access with other sectors of the company enables interested sectors to be a part of the surveillance process. This paper presents the approach taken in modifying real-time surveillance by using existing company data and software without additional capital costs. The authors discuss applied methods of improving the productivity of the surveillance process and improving the response time to identify threats, diagnose, and take preventive actions.

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