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One of the most popular and efficient artificial lift mechanisms is the electrical submersible pump (ESP). According to recent statistics, there are more than 100,000 ESPs worldwide. With the increasing number of wells equipped with ESPs, operators are making substantial efforts to improve ESP performance and achieve longer runlife. The primary focus has been on tracking ESPs sensors real-time data, along with failures prediction as proactive measures. It is however, still difficult to keep track of historical ESP pull and run jobs, ESP equipments, and benchmark pump runlife. Typically there are no structured datastores for ESP movements. ESP runlife statistics are stored in multiple individual spreadsheets and are resource-intensive to compile. This paper presents a solution that enables to track within database software ESP operations, equipments movements and failures along with classical production data to enable better ESP lifetime evaluation and equipments management. The solution encompassed ESP operations and equipment tracking within a next-generation production volumes management system. The software and database were expanded to ensure that data was generated through a single point of reference, so that operators could capture and store downhole and surface equipments tracked via serial-number along with operations details and failures. ESP runlife, failure and equipment statistics were also calculated and reported graphically. More accurate ESP lifetime was calculated using well production uptime, installation and pull dates. Using these key statistics, the asset team was able to benchmark equipments and vendors. Each time the team needed to design or redesign an ESP, the solution enabled them to browse current and historical production, ESP operations, and both installed and warehoused equipments data. Used equipments historical installations can be tracked to make informed decisions before any reinstallation in other wells. In addition, the solution allows through reports to track wells with longer pull operations time providing input to improve rig workover planning. In summary, the proper capture, validation, data browsing, and accurate performance evaluation enabled by the pilot solution reduced routine work time, positively impacting the asset team. More time could thus be dedicated to recurrent problems identification, in-depth investigations for remedial actions for underperforming ESP wells.
One of the most popular and efficient artificial lift mechanisms is the electrical submersible pump (ESP). According to recent statistics, there are more than 100,000 ESPs worldwide. With the increasing number of wells equipped with ESPs, operators are making substantial efforts to improve ESP performance and achieve longer runlife. The primary focus has been on tracking ESPs sensors real-time data, along with failures prediction as proactive measures. It is however, still difficult to keep track of historical ESP pull and run jobs, ESP equipments, and benchmark pump runlife. Typically there are no structured datastores for ESP movements. ESP runlife statistics are stored in multiple individual spreadsheets and are resource-intensive to compile. This paper presents a solution that enables to track within database software ESP operations, equipments movements and failures along with classical production data to enable better ESP lifetime evaluation and equipments management. The solution encompassed ESP operations and equipment tracking within a next-generation production volumes management system. The software and database were expanded to ensure that data was generated through a single point of reference, so that operators could capture and store downhole and surface equipments tracked via serial-number along with operations details and failures. ESP runlife, failure and equipment statistics were also calculated and reported graphically. More accurate ESP lifetime was calculated using well production uptime, installation and pull dates. Using these key statistics, the asset team was able to benchmark equipments and vendors. Each time the team needed to design or redesign an ESP, the solution enabled them to browse current and historical production, ESP operations, and both installed and warehoused equipments data. Used equipments historical installations can be tracked to make informed decisions before any reinstallation in other wells. In addition, the solution allows through reports to track wells with longer pull operations time providing input to improve rig workover planning. In summary, the proper capture, validation, data browsing, and accurate performance evaluation enabled by the pilot solution reduced routine work time, positively impacting the asset team. More time could thus be dedicated to recurrent problems identification, in-depth investigations for remedial actions for underperforming ESP wells.
Electrical submersible pumps (ESPs), one of the main artificial lift methods employed in the Western Desert of Egypt, can significantly influence the operating costs associated with producing assets. ESP well interventions are typically complex and costlier than other artificial lift-related workovers. Consequently, it is important that operators develop a strategy to closely monitor ESP-lifted producing wells to maximize production potential, ESP efficiency, and run-life. This case study reviews the experience gained from developing a monitoring program and response strategy to optimize ESP well value in Egypt. Qarun Petroleum Company (QPC), one of the main operators in the Western Desert of Egypt, operates more than 340 ESP producing wells. Similar to other ESP operators in the area, QPC deals with a range of challenges that can affect ESP performance, run-life, and ESP uptime. To address these challenges, a number of wells were selected for a monitoring program based on the transmission of downhole sensor and surface data. The program called for dedicated surveillance engineers to analyze and review the data in real time to identify any suspicious events that may pose a risk to the ESP's performance. Furthermore, a robust communication workflow was developed to enable the surveillance engineers, field operators, and production engineers to communicate, identify root causes of the captured events, and take corrective actions in a timely manner. Actions could then be executed remotely, eliminating health, safety, and environment risks and reducing the time required to optimize the performance of the ESP wells. The surveillance system proved to be valuable in several instances. Events that could have drastically affect production, such as motor overheating and gas interference were detected in real time. Flow recirculation was also identified more rapidly than without the system; thus, improving operational responsiveness and reducing deferred production. In addition, an ESP failure was avoided by optimizing the pump speed automatically to avoid gas-locking effects without compromising production. This study showed that production gains up to 9,000 BOPD were possible. Moreover, significant improvements in ESP run-life was observed in the monitored wells when compared with premonitoring performance. Field case studies are used in this study to demonstrate the well production and operating expenditure improvements resulting from real-time surveillance and continuous performance monitoring for ESP wells and fields.
While pressure transient analysis (PTA) is a proven interpretation technique, it is mostly used on buildups because drawdowns are difficult to interpret. However, the deferred production associated with buildups discourages regular application of PTA to determine skin and identify boundary conditions. Several case studies are presented covering a range of well configurations to illustrate how downhole transient liquid rate measurements with electrical submersible pump (ESP) gauges enable PTA during drawdown and therefore real-time optimization. The calculation of high-frequency transient flow rates using ESP gauge real-time data is based on the principle that the power absorbed by the pump is equal to that generated by the motor. This technique is independent of fluid specific gravity and therefore is self-calibrating with changes in water cut and phase segregation. Analytical equations ensure that the physics is always respected, thereby providing the necessary repeatability. The combination of downhole transient high-frequency flow rate and permanent pressure gauge data enables PTA using commonly available analytical techniques and software, especially because superposition time is calculated accurately. The availability of continuous production history brings significant value for PTA. It makes it possible to perform history matching and to deploy semilog analysis using an accurate set of superposition time functions. However, the application of log-log analysis techniques is usually more challenging because of imperfections in input data such as noise, oversimplified production history, time-synchronization issues, or wellbore effects. These limitations are solved by utilizing high-frequency downhole data from ESP. This is possible first as superposition time is effectively an integral function, which dampens any noise in the flow rate signal. Another important finding is that wellbore effects in subhydrostatic wells are less impactful in drawdowns than in buildups where compressibility and redistribution can mask reservoir response. Key reservoir properties, in particular mobility, can nearly always be estimated, leading to better skin factor determination even without downhole shut-in. Finally, with the constraint of production deferment eliminated, drawdowns can be monitored for extended durations to identify boundaries and to perform time-lapse interpretation more efficiently. Confirming a constant pressure boundary or a change in skin enables more effective and proactive production management. In all cases considered, a complete analysis was possible, including buildup and drawdown data comparison. With the development of downhole flow rate calculation technology, it is now possible to provide full inflow characterization in a matter of days following an ESP workover, without any additional hardware or staff mobilization to the wellsite and no deferred production. More importantly, the technique provides the necessary information to diagnose the cause of underproduction, identify stimulation candidates, and manage drawdown.
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