Well control diagnosis model of underground gas storage in multi-cycle operation
Underground gas storage（UGS） plays a crucial role in ensuring national energy security. Predicting multi-cycle well control parameters is key to the efficient operation of UGS facilities. Due to the complexities involved in understanding the operation patterns of W23 UGS and the challenges in develo...
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Editorial Department of Petroleum Reservoir Evaluation and Development
2024-10-01
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| Series: | Youqicang pingjia yu kaifa |
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| Online Access: | https://red.magtech.org.cn/fileup/2095-1426/PDF/1728631455195-252775241.pdf |
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| author | ZHANG Siyuan, YANG Jiakun, SONG Lina, ZHOU Dongliang, HU Jun, XU Feng, SHI Yuxia, XU Hongcheng, PEI Gen, FAN Jiayi |
| author_facet | ZHANG Siyuan, YANG Jiakun, SONG Lina, ZHOU Dongliang, HU Jun, XU Feng, SHI Yuxia, XU Hongcheng, PEI Gen, FAN Jiayi |
| author_sort | ZHANG Siyuan, YANG Jiakun, SONG Lina, ZHOU Dongliang, HU Jun, XU Feng, SHI Yuxia, XU Hongcheng, PEI Gen, FAN Jiayi |
| collection | DOAJ |
| description | Underground gas storage（UGS） plays a crucial role in ensuring national energy security. Predicting multi-cycle well control parameters is key to the efficient operation of UGS facilities. Due to the complexities involved in understanding the operation patterns of W23 UGS and the challenges in developing effective schemes, a prediction model for well control parameters in multi-cycle operations has been developed using the rate-transient analysis method, and the change pattern of well control parameters with the development of UGS is analyzed. The process begins with preprocessing the dynamic production data from W23 UGS, which is then inputted into RTA software along with the reservoir parameters. The Dranchuk-Abu-Kassem model calculates the high-pressure physical properties of natural gas. Following this, the seepage characteristics of W23 UGS are examined, and the optimal wellbore conduit flow model is selected to determine the bottomhole pressure in the gas wells. The Blasingame pattern analysis method is then applied to fit the well control parameters and establish a basic model, such as the well control radius. By adjusting the model with production data, a refined prediction model for multi-cycle operation is developed. This model is utilized to categorize the wells of W23 UGS based on their production performance and control characteristics. The results categorize the wells into three types, with distribution ratios of 39%, 34%, and 27%, respectively. The predictive model reveals that during UGS operation, the well control radius of the gas wells initially increases significantly, then stabilizes. Similarly, the average well control volume of the gas reservoir continues to rise, and the effective permeability of the reservoir influenced by the three categories of wells initially increases before stabilizing. |
| format | Article |
| id | doaj-art-5bb522d81a394eb19c4e27de0841bc1e |
| institution | OA Journals |
| issn | 2095-1426 |
| language | zho |
| publishDate | 2024-10-01 |
| publisher | Editorial Department of Petroleum Reservoir Evaluation and Development |
| record_format | Article |
| series | Youqicang pingjia yu kaifa |
| spelling | doaj-art-5bb522d81a394eb19c4e27de0841bc1e2025-08-20T02:32:18ZzhoEditorial Department of Petroleum Reservoir Evaluation and DevelopmentYouqicang pingjia yu kaifa2095-14262024-10-0114578879410.13809/j.cnki.cn32-1825/te.2024.05.015Well control diagnosis model of underground gas storage in multi-cycle operationZHANG Siyuan, YANG Jiakun, SONG Lina, ZHOU Dongliang, HU Jun, XU Feng, SHI Yuxia, XU Hongcheng, PEI Gen, FAN Jiayi01. PipeChina Zhongyuan Gas Storage Co., Ltd., Puyang, Henan 457000, China;2. PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, ChinaUnderground gas storage（UGS） plays a crucial role in ensuring national energy security. Predicting multi-cycle well control parameters is key to the efficient operation of UGS facilities. Due to the complexities involved in understanding the operation patterns of W23 UGS and the challenges in developing effective schemes, a prediction model for well control parameters in multi-cycle operations has been developed using the rate-transient analysis method, and the change pattern of well control parameters with the development of UGS is analyzed. The process begins with preprocessing the dynamic production data from W23 UGS, which is then inputted into RTA software along with the reservoir parameters. The Dranchuk-Abu-Kassem model calculates the high-pressure physical properties of natural gas. Following this, the seepage characteristics of W23 UGS are examined, and the optimal wellbore conduit flow model is selected to determine the bottomhole pressure in the gas wells. The Blasingame pattern analysis method is then applied to fit the well control parameters and establish a basic model, such as the well control radius. By adjusting the model with production data, a refined prediction model for multi-cycle operation is developed. This model is utilized to categorize the wells of W23 UGS based on their production performance and control characteristics. The results categorize the wells into three types, with distribution ratios of 39%, 34%, and 27%, respectively. The predictive model reveals that during UGS operation, the well control radius of the gas wells initially increases significantly, then stabilizes. Similarly, the average well control volume of the gas reservoir continues to rise, and the effective permeability of the reservoir influenced by the three categories of wells initially increases before stabilizing.https://red.magtech.org.cn/fileup/2095-1426/PDF/1728631455195-252775241.pdf|underground gas storage（ugs）|rate-transient analysis|well control characteristics|well control parameters|parameters prediction |
| spellingShingle | ZHANG Siyuan, YANG Jiakun, SONG Lina, ZHOU Dongliang, HU Jun, XU Feng, SHI Yuxia, XU Hongcheng, PEI Gen, FAN Jiayi Well control diagnosis model of underground gas storage in multi-cycle operation Youqicang pingjia yu kaifa |underground gas storage（ugs）|rate-transient analysis|well control characteristics|well control parameters|parameters prediction |
| title | Well control diagnosis model of underground gas storage in multi-cycle operation |
| title_full | Well control diagnosis model of underground gas storage in multi-cycle operation |
| title_fullStr | Well control diagnosis model of underground gas storage in multi-cycle operation |
| title_full_unstemmed | Well control diagnosis model of underground gas storage in multi-cycle operation |
| title_short | Well control diagnosis model of underground gas storage in multi-cycle operation |
| title_sort | well control diagnosis model of underground gas storage in multi cycle operation |
| topic | |underground gas storage（ugs）|rate-transient analysis|well control characteristics|well control parameters|parameters prediction |
| url | https://red.magtech.org.cn/fileup/2095-1426/PDF/1728631455195-252775241.pdf |
| work_keys_str_mv | AT zhangsiyuanyangjiakunsonglinazhoudonglianghujunxufengshiyuxiaxuhongchengpeigenfanjiayi wellcontroldiagnosismodelofundergroundgasstorageinmulticycleoperation |