LAPSE:2023.28146
Published Article
LAPSE:2023.28146
Supervision and Control System of the Operational Variables of a Cluster in a High-Pressure Gas Injection Plant
Cristhian Ronceros, José Medina, Juan Vásquez, Pedro León, José Fernández, Estefany Urday
April 11, 2023
Abstract
The objective of this research was to develop a technological architecture proposal that allows for the supervision and control of the operational parameters of gas injection (flow, temperature, and pressure) in a cluster of a high-pressure gas injection plant. The proposal provides a supervision and control system for the HPGIP I high-pressure gas injection plant that includes instrumentation equipment (transmitters and actuators), a remote terminal unit (RTU) as a control device, and the creation of a control logic as the basis for the development of the SCADA GALBA®, through which the operational variables involved in the process of the gas injection plant can be visualized and controlled, allowing the automatic regulation of the flow of gas that enters the deposits. Automatization of the process allows for the elimination of the average error differential that increases from 2 to 5% when the control valve is opened manually. Currently, the MUC-67 and MUC-68 wells that make up cluster 5 require a control valve opening of 20% and 5%, respectively, and this percentage is directly affected by the average valve opening error when performed manually. In addition, there is a savings of around 40 min in the response time by the operators for the adjustment of the opening or closing parameters of the control valve manually. The proposal allows for the different control actions on the variables or parameters of gas injection present in the clump to be carried out from a control room.
Keywords
cluster, control, gas injection, high pressure, remote terminal, supervision
Suggested Citation
Ronceros C, Medina J, Vásquez J, León P, Fernández J, Urday E. Supervision and Control System of the Operational Variables of a Cluster in a High-Pressure Gas Injection Plant. (2023). LAPSE:2023.28146
Author Affiliations
Ronceros C: Faculty of Engineering, Private University San Juan Bautista, Ica 11004, Peru; School of Engineering and Applied Sciences, Eastern University, Maturin 6201, Monagas, Venezuela [ORCID]
Medina J: Faculty of Engineering, Private University San Juan Bautista, Ica 11004, Peru
Vásquez J: Mirai Innovations SAC, Ica 11000, Peru
León P: Faculty of Engineering, Private University San Juan Bautista, Ica 11004, Peru
Fernández J: Faculty of Engineering, Private University San Juan Bautista, Ica 11004, Peru
Urday E: Faculty of Engineering, Private University San Juan Bautista, Ica 11004, Peru [ORCID]
Journal Name
Processes
Volume
11
Issue
3
First Page
698
Year
2023
Publication Date
2023-02-26
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11030698, Publication Type: Journal Article
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LAPSE:2023.28146
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https://doi.org/10.3390/pr11030698
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Apr 11, 2023
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