Optimizing Underground Natural Gas Storage Capacity through Numerical Modeling and Strategic Well Placement
This study focuses on optimizing the storage capacity of an underground natural gas storage facility through numerical modeling and simulation techniques. The reservoir, characterized by an elongated dome structure, was discretized into approximately 16,000 cells. Simulations were conducted using ke...
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| Veröffentlicht in: | Processes 2024-10, Vol.12 (10), p.2136 |
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| creator | Eparu, Cristian Nicolae Prundurel, Alina Petronela Doukeh, Rami Stoica, Doru Bogdan Ghețiu, Iuliana Veronica Suditu, Silviu Stan, Ioana Gabriela Rădulescu, Renata |
| description | This study focuses on optimizing the storage capacity of an underground natural gas storage facility through numerical modeling and simulation techniques. The reservoir, characterized by an elongated dome structure, was discretized into approximately 16,000 cells. Simulations were conducted using key parameters such as permeability (10–70 mD) and porosity (12–26%) to assess the dynamics of gas injection and pressure distribution. The model incorporated core and petrophysical data to accurately represent the reservoir’s behavior. By integrating new wells in areas with storage deficits, the model demonstrated improvements in storage efficiency and pressure uniformity. The introduction of additional wells led to a significant increase in storage volume from 380 to 512 million Sm³ and optimized the injection process by reducing the storage period by 25%. The study concludes that reservoir performance can be enhanced with targeted well placement and customized flow rates, resulting in both increased storage capacity and economic benefits. |
| doi_str_mv | 10.3390/pr12102136 |
| format | Article |
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The reservoir, characterized by an elongated dome structure, was discretized into approximately 16,000 cells. Simulations were conducted using key parameters such as permeability (10–70 mD) and porosity (12–26%) to assess the dynamics of gas injection and pressure distribution. The model incorporated core and petrophysical data to accurately represent the reservoir’s behavior. By integrating new wells in areas with storage deficits, the model demonstrated improvements in storage efficiency and pressure uniformity. The introduction of additional wells led to a significant increase in storage volume from 380 to 512 million Sm³ and optimized the injection process by reducing the storage period by 25%. The study concludes that reservoir performance can be enhanced with targeted well placement and customized flow rates, resulting in both increased storage capacity and economic benefits.</description><identifier>ISSN: 2227-9717</identifier><identifier>EISSN: 2227-9717</identifier><identifier>DOI: 10.3390/pr12102136</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Bans ; Dynamic structural analysis ; Efficiency ; Elongated structure ; Energy consumption ; Gas injection ; Geopolitics ; Mathematical models ; Methods ; Natural gas ; Numerical models ; Permeability ; Placement ; Porosity ; Pressure distribution ; Reservoir performance ; Reservoir storage ; Simulation ; Simulation methods ; Software ; Storage capacity ; Storage facilities ; Underground storage ; Underground structures</subject><ispartof>Processes, 2024-10, Vol.12 (10), p.2136</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. 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The reservoir, characterized by an elongated dome structure, was discretized into approximately 16,000 cells. Simulations were conducted using key parameters such as permeability (10–70 mD) and porosity (12–26%) to assess the dynamics of gas injection and pressure distribution. The model incorporated core and petrophysical data to accurately represent the reservoir’s behavior. By integrating new wells in areas with storage deficits, the model demonstrated improvements in storage efficiency and pressure uniformity. The introduction of additional wells led to a significant increase in storage volume from 380 to 512 million Sm³ and optimized the injection process by reducing the storage period by 25%. 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| subjects | Bans Dynamic structural analysis Efficiency Elongated structure Energy consumption Gas injection Geopolitics Mathematical models Methods Natural gas Numerical models Permeability Placement Porosity Pressure distribution Reservoir performance Reservoir storage Simulation Simulation methods Software Storage capacity Storage facilities Underground storage Underground structures |
| title | Optimizing Underground Natural Gas Storage Capacity through Numerical Modeling and Strategic Well Placement |
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