(2024015) Gas Flow Management Technology Designed to Decrease Downtime and Improve ESP Efficiency – Lessons Learned and Case Studies

(2024015) Gas Flow Management Technology Designed to Decrease Downtime and Improve ESP Efficiency – Lessons Learned and Case Studies
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Abstract

(2024015) Gas Flow Management Technology Designed to Decrease Downtime and Improve ESP Efficiency – Lessons Learned and Case Studies

Presenters

Jorge Gambus, Luis Guanacas, Scott Vestal and 
Gustavo Gonzalez – Odessa Separator Inc. (OSI) 
Mario Campos, ChampionX

This paper builds upon last year's presentation, which featured a case study showcasing the application of gas handling technology in the Midland Basin. With over 200 installations in the Permian Basin, this document expands on the insights gained from various applications, providing additional data that reinforces the operational principles and results presented in the previous year. In this paper, we delve into the intricate physical principles governing the gas handler's functionality in regulating free gas flow before reaching the ESP intake. Through the presentation of three case studies, we illustrate how these adjustments have significantly enhanced project profitability.

The first case study examines a Delaware well completed in the Bone Spring, notorious for historical gas and sand challenges. The regulator was installed alongside the second ESP, with an expected liquid production of 1,200 BFPD and a GLR of 1,000 SCF/STB. The second case study focuses on a well completed in the Middle Spraberry producing 375 BFPD and a GLR of 800 SCF/STB. Considering the production rates, a rod pump conversion was contemplated. The final case study explores a well also completed in the Middle Spraberry, producing 370 BFPD and a GLR of 2,400 SCF/STB with a history of sand and gas issues. Initially considered for gas lift conversion, the lack of facilities led to the reinstallation of the ESP to postpone the conversion to a rod pump and maintain higher production. In all case studies, we evaluate sensor parameters, presenting the before-and-after scenarios of production rates and drawdown.

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