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Electrical submersible pump (ESP) trips and unplanned shutdowns can be a major operational challenge for many oil fields. In most of these ESP trips, the ESP can be returned back to production after conducting proper troubleshooting at surface and without any downhole intervention. The process of manually restarting tripped ESPs can be a complex and costly operation, especially in an offshore environment. Alternatively, automatic ESP restart can offer great advantages by reducing the ESP downtime. Many of the variable speed drives (VSDs) available in the market offer an auto restart feature that allows the ESP to be restarted automatically without human intervention. This paper presents the concept and the application of this technique. The activation of ESP auto restart requires considerable technical review of the different trip causes and the proper restart methodology for each. Auto restart of each trip type has to be programed differently to prevent possible harm to the ESP. Specific engineering measures and procedures shall be put in place to ensure personnel and equipment safety. In this paper, some statistical tools for ESP trips and restarts are presented to measure the success of auto restart, its effectiveness, and its limitations. The obtained results from the ESP auto-restart technique show it to be both practical and beneficial; it can significantly reduce the time to put the ESP back in operation resulting in production advancement. In addition, continuous data collection and assessment of auto-restart events play an important factor in ensuring that auto-restart settings are properly applied and adjusted for each type of variable speed drive installed in the field. Finally, the paper provides several recommendations with suggested ways to improve the functionality of this feature. The technique introduced in this paper can bring artificially lifted fields closer to an autonomous and intelligent concept of operations. The presented model can serve as a good benchmarking tool for future implementation of artificial lift automation.
Electrical submersible pump (ESP) trips and unplanned shutdowns can be a major operational challenge for many oil fields. In most of these ESP trips, the ESP can be returned back to production after conducting proper troubleshooting at surface and without any downhole intervention. The process of manually restarting tripped ESPs can be a complex and costly operation, especially in an offshore environment. Alternatively, automatic ESP restart can offer great advantages by reducing the ESP downtime. Many of the variable speed drives (VSDs) available in the market offer an auto restart feature that allows the ESP to be restarted automatically without human intervention. This paper presents the concept and the application of this technique. The activation of ESP auto restart requires considerable technical review of the different trip causes and the proper restart methodology for each. Auto restart of each trip type has to be programed differently to prevent possible harm to the ESP. Specific engineering measures and procedures shall be put in place to ensure personnel and equipment safety. In this paper, some statistical tools for ESP trips and restarts are presented to measure the success of auto restart, its effectiveness, and its limitations. The obtained results from the ESP auto-restart technique show it to be both practical and beneficial; it can significantly reduce the time to put the ESP back in operation resulting in production advancement. In addition, continuous data collection and assessment of auto-restart events play an important factor in ensuring that auto-restart settings are properly applied and adjusted for each type of variable speed drive installed in the field. Finally, the paper provides several recommendations with suggested ways to improve the functionality of this feature. The technique introduced in this paper can bring artificially lifted fields closer to an autonomous and intelligent concept of operations. The presented model can serve as a good benchmarking tool for future implementation of artificial lift automation.
Many considerations are taken into account to ensure production targets are met for fields lifted by Electrical Submersible Pumps (ESP). ESP outages are indeed one of the major operational disturbances that significantly impact production strategies. Hence, a holistic structured framework for ESP outages has to be constructed to prevent or curtail ESP outages by capturing each of the planned and unplanned shutdowns effortlessly, comprehensively and effectively. It should, in fact, consider all parameters and relevant data that aid to better understand such outages; this would include root cause analysis, affected systems, and the production impact. It should also capture all required statistics while generating needed illustrative visuals for advanced analytics to identify the overall impact of ESP outages in a particular oil field. The outcome of the framework should be presented in the form of Key Performance Indicators (KPIs) to assess the ESP performance. Using the ESP outages framework will ensure capturing all related data and result in fruitful output using advanced statistical tools. This will clearly highlight both deficiencies and improvements for each area related to the operator companies or the service providers. Then, efforts will be made to assign timely corrective actions for fields that lag in performance while exerting efforts to improve underperforming service providers. This framework introduces a continuous tracking mechanism of ESP performance associated to outages through comprehensive KPIs. It has the ability to highlight the bad actors within the operator companies or the service providers and logical recommendations to address them. As a result, the number of outages (trips) and restoration time will be minimized which will lead to reducing the impact of revenue loss caused by the ESP production disruptions. In this structure, novel KPIs specifically focusing on ESP outages will be described in detail. Also, an integrated prototype of the ESP outages framework will be presented to demonstarte its effectiveness without further complicating other related process workflows.
The reliability of Electrical Submersible Pumps (ESPs) is a critical target for companies managing artificially lifted fields. While efforts to continuously improve the reliability in the downhole system are crucial, it is necessary to focus on the health and long-term reliability of the ESP surface equipment. One effective approach toward achieving this goal is through conducting a comprehensive Preventive Maintenance Program (PMP) for the different components of the ESP surface system. An ESP PMP should be managed without jeopardizing production strategy. The design of the PMP must meet the production demand while maintaining the best-in-class PMP practices. The well operating condition, frequency, weather, well location, required periodic inspection and preemptive servicing and replacement of surface equipment components must be considered, based on studied criterion. The design of the PMP considers equipment upgrades and thermal imaging surveillance to guarantee healthy electrical systems. The mentioned activities have to be captured in a dedicated checklist to cover all requirements. To ensure adequate PMP planning, a well-structured tracking mechanism must be followed. Implementing the recommended PMP framework contributes to minimizing ESP surface equipment component defects like transformer failures, blown fuses, jammed fans, obsolete drive controllers, etc. The proposed PMP is structured to achieve maximum production availability while maintaining a healthier run-life of surface equipment with minimal outages. To ensure minimal ESP surface equipment malfunctions, a comprehensive periodic checkup and well-designed replacement mechanism of surface equipment components should be implemented. The operator company and the maintenance service provider will be able to easily identify the bad actors without complicating the overall process. Consequently, efforts will be made to assign and implement corrective actions to avoid similar problems. The PMP will significantly enhance the ESP surface equipment reliability and prolong the uptime of the fixed/variable speed drives, associated transformers, and other auxiliary equipment. In addition, it should reduce the ESP trips attributed to the malfunction of any surface equipment component and consequently minimize the operational and financial impact of production disruptions. Ultimately, the operator company will be able to maximize its production availability and comply with its planned strategies to meet its target. As a result, the PMP will significantly improve the ESP Key Performance Indicator(KPI) records. In this paper, an innovative and structured framework for ESP surface equipment PMP will be illustrated in details. Additionally, a prototype that contains the main formulas and tools in the program, which were derived from huge historical records and data analytics, will be shown. The paper will explain why and how the PMP can help any operator company or service provider to excel in maintaining healthy ESP systems while meeting its production commitments.
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