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Modeling and Simulation of Autonomous Inflow Control Devices for Gas Exploitation

[Image: see text] Horizontal well technology is an efficient method of oil and gas exploitation. The goal of increasing oil production and improving productivity can be achieved by increasing the contact area between the reservoir and the wellbore. The presence of bottom water cresting reduces the e...

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Autores principales: Yang, Junyu, Shi, Weiping, Zhao, Yaohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9979313/
https://www.ncbi.nlm.nih.gov/pubmed/36873016
http://dx.doi.org/10.1021/acsomega.2c07596
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author Yang, Junyu
Shi, Weiping
Zhao, Yaohua
author_facet Yang, Junyu
Shi, Weiping
Zhao, Yaohua
author_sort Yang, Junyu
collection PubMed
description [Image: see text] Horizontal well technology is an efficient method of oil and gas exploitation. The goal of increasing oil production and improving productivity can be achieved by increasing the contact area between the reservoir and the wellbore. The presence of bottom water cresting reduces the efficiency of oil and gas production significantly. Autonomous inflow control devices (AICDs) are widely used to delay the influx of water into the wellbore. Two kinds of AICDs are proposed to restrain the bottom water breakthrough during natural gas production. The fluid flows in the AICDs are simulated numerically. The pressure difference between the inlet and outlet is calculated to evaluate the ability of blocking the flow. A dual-inlet design can increase the flow rate of AICDs, thus enhancing the water blocking effect. Numerical simulations show that the devices can block water flowing into the wellbore effectively.
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spelling pubmed-99793132023-03-03 Modeling and Simulation of Autonomous Inflow Control Devices for Gas Exploitation Yang, Junyu Shi, Weiping Zhao, Yaohua ACS Omega [Image: see text] Horizontal well technology is an efficient method of oil and gas exploitation. The goal of increasing oil production and improving productivity can be achieved by increasing the contact area between the reservoir and the wellbore. The presence of bottom water cresting reduces the efficiency of oil and gas production significantly. Autonomous inflow control devices (AICDs) are widely used to delay the influx of water into the wellbore. Two kinds of AICDs are proposed to restrain the bottom water breakthrough during natural gas production. The fluid flows in the AICDs are simulated numerically. The pressure difference between the inlet and outlet is calculated to evaluate the ability of blocking the flow. A dual-inlet design can increase the flow rate of AICDs, thus enhancing the water blocking effect. Numerical simulations show that the devices can block water flowing into the wellbore effectively. American Chemical Society 2023-02-16 /pmc/articles/PMC9979313/ /pubmed/36873016 http://dx.doi.org/10.1021/acsomega.2c07596 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 Yang, Junyu
Shi, Weiping
Zhao, Yaohua
Modeling and Simulation of Autonomous Inflow Control Devices for Gas Exploitation
title Modeling and Simulation of Autonomous Inflow Control Devices for Gas Exploitation
title_full Modeling and Simulation of Autonomous Inflow Control Devices for Gas Exploitation
title_fullStr Modeling and Simulation of Autonomous Inflow Control Devices for Gas Exploitation
title_full_unstemmed Modeling and Simulation of Autonomous Inflow Control Devices for Gas Exploitation
title_short Modeling and Simulation of Autonomous Inflow Control Devices for Gas Exploitation
title_sort modeling and simulation of autonomous inflow control devices for gas exploitation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9979313/
https://www.ncbi.nlm.nih.gov/pubmed/36873016
http://dx.doi.org/10.1021/acsomega.2c07596
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