Machine-Learning-Assisted Identification of Steam Channeling after Cyclic Steam Stimulation in Heavy-Oil Reservoirs
文献类型：期刊论文
| 作者 | Li, Yu1; Liu, Huiqing1; Jiao, Peng1; Wang, Qing1; Liu, Dong2; Ma, Liangyu2; Wang, Zhipeng1; Peng, Hao3 |
| 刊名 | GEOFLUIDS
 |
| 出版日期 | 2023-04-26 |
| 卷号 | 2023页码:13 |
| ISSN号 | 1468-8115 |
| DOI | 10.1155/2023/6593464 |
| 通讯作者 | Wang, Qing(wq2012@cup.edu.cn) |
| 英文摘要 | Cyclic steam stimulation (CSS) is one efficient technology for enhancing heavy-oil recovery. However, after multiple cycles, steam channeling severely limits the thermal recovery because high-temperature steam preferentially breaks through to the producers. To solve the issues of steam breakthrough, it is essentially important and necessary to recognize steam channeling. In this work, a machine-learning-assisted identification model, based on a random-forest ensemble algorithm, is developed to predict the occurrence of steam channeling during steam huff-and-puff processes. The set of feature attributes is constructed based on the permeability ratio, steam quality, and steam-injection speed, which provides the reference for the construction of the training-sample set, steam-channeling reconstruction set, and prediction set. Based on the realistic data, the Pearson correlation coefficient is implemented to confirm the linear correlation among different characteristics; thus, the dimension reduction of the characteristic parameters is achieved. The random oversampling method is adopted to treat the unbalanced training-sample set. Our results show that this model can accurately describe the current state of steam channeling and predict steam propagation in the following cycles. |
| WOS关键词 | RECOVERY ; NANOPARTICLES |
| 资助项目 | Science Foundation of China University of Petroleum, Beijing[2462022BJRC003] ; National Natural Science Foundation of China Joint Fund Project[U20B6003] |
| WOS研究方向 | Geochemistry & Geophysics ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000982723300003 |
| 出版者 | WILEY-HINDAWI |
| 资助机构 | Science Foundation of China University of Petroleum, Beijing ; National Natural Science Foundation of China Joint Fund Project |
| 源URL | [http://ir.giec.ac.cn/handle/344007/38881]  |
| 专题 | 中国科学院广州能源研究所 |
| 通讯作者 | Wang, Qing |
| 作者单位 | 1.China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China 2.China Natl Offshore Oil Corp China, Tianjin 300450, Peoples R China 3.Univ Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510650, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Yu,Liu, Huiqing,Jiao, Peng,et al. Machine-Learning-Assisted Identification of Steam Channeling after Cyclic Steam Stimulation in Heavy-Oil Reservoirs[J]. GEOFLUIDS,2023,2023:13. |
| APA | Li, Yu.,Liu, Huiqing.,Jiao, Peng.,Wang, Qing.,Liu, Dong.,...&Peng, Hao.(2023).Machine-Learning-Assisted Identification of Steam Channeling after Cyclic Steam Stimulation in Heavy-Oil Reservoirs.GEOFLUIDS,2023,13. |
| MLA | Li, Yu,et al."Machine-Learning-Assisted Identification of Steam Channeling after Cyclic Steam Stimulation in Heavy-Oil Reservoirs".GEOFLUIDS 2023(2023):13. |
入库方式： OAI收割
来源：广州能源研究所
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