ESP Gas / Vapour-Locking Detection, Quantification, and Avoidance Using High Frequency Electrical Analysis and Advanced Process Control
Summary The overall objective of this work is to utilize high frequency ESP condition monitoring data to develop an automated control loop to detect and avoid ESP low-flow interruptions due to gas/vapour interference. This paper shares the results of an ongoing project incorporating high frequency electrical data analysis to the existing ESP control systems on multiple wells / pads in a SAGD field in Northern Alberta, Canada. In our previous paper, SPE-214728-MS, we demonstrated use cases of high frequency electrical analysis of ESP motor for diagnostics of issues related to mechanical, electrical, and adverse flow regime. This new work focuses mainly on how this high-frequency ESP electrical data can be utilized for the early detection of adverse flow regime events such as gas/vapour locking. By utilizing an algorithm developed to detect ESP pump cavitation, a process loop was developed for the advanced process control (APC) systems that dynamically adjust the operating conditions of the ESP to avoid low-flow events while maximizing production. We compare the production conditions for 3 ESPs running with and without the cavitation detection logic. The results will demonstrate how ESP's can operate without low-flow interruptions and with comparable production rates to the optimum rate for these wells. This logic helped to achieve the objectives of optimizing production while avoiding low-flow interruptions with minimum operator engagement. Low-flow events due to gas/vapour locking are challenging in both conventional and unconventional production. This work aims at quantifying these events and enabling the APC to automatically optimize ESP production while avoiding gas/vapour induced ESP low-flow events.
Authors
- Amir Badkoubeh
- Leon Waldner
- Mehran Imanfard
Institutions
- Cognitive Technologies (United States) (US)
- Cognitive Medical Systems (US)
- Cognitive Research (United States) (US)
Publication Details
- Published
- 2025-08-18
- DOI
- https://doi.org/10.2118/225249-ms
- Citations
- 1
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.21