Cargando…

Simulation and Optimization of Surface Gas Injection Systems for Underground Gas Storage

[Image: see text] With the rapid development and popularization of sensing technology and information technology, the demand for intelligence in the oil and gas industry and gas storage has increased. The optimized operation of surface engineering is an important part of intelligence. To master the...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Mingzhen, Yan, Guanghong, Liu, Ting, Wu, Xiayue, Yu, Pengpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483671/
https://www.ncbi.nlm.nih.gov/pubmed/37692256
http://dx.doi.org/10.1021/acsomega.3c04321
_version_ 1785102430973722624
author Lin, Mingzhen
Yan, Guanghong
Liu, Ting
Wu, Xiayue
Yu, Pengpeng
author_facet Lin, Mingzhen
Yan, Guanghong
Liu, Ting
Wu, Xiayue
Yu, Pengpeng
author_sort Lin, Mingzhen
collection PubMed
description [Image: see text] With the rapid development and popularization of sensing technology and information technology, the demand for intelligence in the oil and gas industry and gas storage has increased. The optimized operation of surface engineering is an important part of intelligence. To master the operation law of the surface engineering of gas storage, improve the production management level, and reduce the cost of gas injection, we investigated the simulation and optimization of a surface gas injection system for practical underground gas storage. We propose calculation formulas for gas injection well pressure separately according to the ideal gas equation of state, the van der Waals equation, and the R-K equation and verify them using actual data. By comparing the calculation error of the data and the complexities for both the equation and the calculation process, we finally choose the formula derived from the ideal gas equation of state as the constraint condition for our research. Moreover, we model the surface gas injection system by using the Aspen HYSYS simulation software. From the variation in the compressor power, we determine that the equalizing pressure injection pattern is the optimal injection pattern and the optimal number of injection wells is three. In addition, we examine the relationship between injection flow and well pressure with injection time under the optimal injection pattern. Finally, we obtain the functional formula of well pressure and injection flow with injection time. The results can provide not only a basis for the gas injection decision making of production systems but also a basic guarantee for the digital transformation and intelligent operation of enterprises.
format Online
Article
Text
id pubmed-10483671
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-104836712023-09-08 Simulation and Optimization of Surface Gas Injection Systems for Underground Gas Storage Lin, Mingzhen Yan, Guanghong Liu, Ting Wu, Xiayue Yu, Pengpeng ACS Omega [Image: see text] With the rapid development and popularization of sensing technology and information technology, the demand for intelligence in the oil and gas industry and gas storage has increased. The optimized operation of surface engineering is an important part of intelligence. To master the operation law of the surface engineering of gas storage, improve the production management level, and reduce the cost of gas injection, we investigated the simulation and optimization of a surface gas injection system for practical underground gas storage. We propose calculation formulas for gas injection well pressure separately according to the ideal gas equation of state, the van der Waals equation, and the R-K equation and verify them using actual data. By comparing the calculation error of the data and the complexities for both the equation and the calculation process, we finally choose the formula derived from the ideal gas equation of state as the constraint condition for our research. Moreover, we model the surface gas injection system by using the Aspen HYSYS simulation software. From the variation in the compressor power, we determine that the equalizing pressure injection pattern is the optimal injection pattern and the optimal number of injection wells is three. In addition, we examine the relationship between injection flow and well pressure with injection time under the optimal injection pattern. Finally, we obtain the functional formula of well pressure and injection flow with injection time. The results can provide not only a basis for the gas injection decision making of production systems but also a basic guarantee for the digital transformation and intelligent operation of enterprises. American Chemical Society 2023-08-23 /pmc/articles/PMC10483671/ /pubmed/37692256 http://dx.doi.org/10.1021/acsomega.3c04321 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Lin, Mingzhen
Yan, Guanghong
Liu, Ting
Wu, Xiayue
Yu, Pengpeng
Simulation and Optimization of Surface Gas Injection Systems for Underground Gas Storage
title Simulation and Optimization of Surface Gas Injection Systems for Underground Gas Storage
title_full Simulation and Optimization of Surface Gas Injection Systems for Underground Gas Storage
title_fullStr Simulation and Optimization of Surface Gas Injection Systems for Underground Gas Storage
title_full_unstemmed Simulation and Optimization of Surface Gas Injection Systems for Underground Gas Storage
title_short Simulation and Optimization of Surface Gas Injection Systems for Underground Gas Storage
title_sort simulation and optimization of surface gas injection systems for underground gas storage
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483671/
https://www.ncbi.nlm.nih.gov/pubmed/37692256
http://dx.doi.org/10.1021/acsomega.3c04321
work_keys_str_mv AT linmingzhen simulationandoptimizationofsurfacegasinjectionsystemsforundergroundgasstorage
AT yanguanghong simulationandoptimizationofsurfacegasinjectionsystemsforundergroundgasstorage
AT liuting simulationandoptimizationofsurfacegasinjectionsystemsforundergroundgasstorage
AT wuxiayue simulationandoptimizationofsurfacegasinjectionsystemsforundergroundgasstorage
AT yupengpeng simulationandoptimizationofsurfacegasinjectionsystemsforundergroundgasstorage