Quantitative macro and micro analysis on enhanced oil recovery (EOR) mechanisms of multi-component composite steam flooding (MCCSF) based on image recognition algorithm
文献类型：期刊论文
| 作者 | Hong, Qingjing; Pang, Zhanxi; Liu, Xiaohong; Wang, Bo; Liu, Dong; Liao, Hui; Wang LT(王陆亭) |
| 刊名 | GEOENERGY SCIENCE AND ENGINEERING
 |
| 出版日期 | 2025-06-01 |
| 卷号 | 249页码:16 |
| 关键词 | Image recognition Heavy oil Steam flooding Oil recovery factor Multi-components EOR mechanisms |
| ISSN号 | 2949-8929 |
| DOI | 10.1016/j.geoen.2025.213766 |
| 通讯作者 | Pang, Zhanxi(pxiad9827@163.com) |
| 英文摘要 | Multi-component composite steam flooding (MCCSF) has emerged as a promising method for enhancing oil recovery (EOR) in heavy oil reservoirs. However, its complex EOR mechanisms remain unclear, and a quantitative evaluation method for production performance in the process has not been established. In this paper, one dimensional (1D) displacement experiments were conducted to measure the oil displacement efficiency (ODE), and the optimal composite mode of multi-components was selected. This was coupled with two dimensional (2D) visualization experiments to investigate the macroscopic and microscopic EOR mechanisms during the process of MCCSF. Image recognition algorithms and image segmentation techniques were introduced to quantitatively analyze the volume of remaining oil (VORO) and the sweep efficiency at different locations during the different displacement stages. The results indicated that the integration of foams and viscosity reducer (VR) significantly improved both sweep efficiency and ODE. Finally, the effective oil production period was obviously extended. The ODE in the 1D experiments reached 76.3%, and the overall sweep efficiency in the 2D visualization experiments reached 97.97%. During pure steam flooding (PSF), the swept area was mainly targeted the near-well zone and the main flow channel. However, after adding foams and a VR for along with steam flooding, the remaining oil in the side channels and corner zones was effectively mobilized, and the ODE in the central swept areas and the displacement front were significantly enhanced, resulting in a final oil recovery factor (ORF) of 74.72%, which was 46.71% higher than that of PSF. This study primarily investigated the EOR mechanisms of MCCSF from two perspectives: improving ODE and sweep efficiency. These findings provided valuable insights and offer a quantitative method for the development effect evaluation. |
| 分类号 | Q4 |
| WOS关键词 | HEAVY-OIL ; HORIZONTAL-WELL ; PUFF METHOD ; PERFORMANCE ; HUFF ; FLOW ; SIMULATION ; RESERVOIRS ; BEHAVIOR ; HYDRATE |
| 资助项目 | National Natural Science Foundation of China[52074321] ; Natural Science Foundation of Beijing Munici-pality, China[3192026] |
| WOS研究方向 | Energy & Fuels ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001458548000001 |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Beijing Munici-pality, China |
| 其他责任者 | Pang, Zhanxi |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/100789]  |
| 专题 | 力学研究所_流固耦合系统力学重点实验室(2012-) |
| 推荐引用方式 GB/T 7714 | Hong, Qingjing,Pang, Zhanxi,Liu, Xiaohong,et al. Quantitative macro and micro analysis on enhanced oil recovery (EOR) mechanisms of multi-component composite steam flooding (MCCSF) based on image recognition algorithm[J]. GEOENERGY SCIENCE AND ENGINEERING,2025,249:16. |
| APA | Hong, Qingjing.,Pang, Zhanxi.,Liu, Xiaohong.,Wang, Bo.,Liu, Dong.,...&王陆亭.(2025).Quantitative macro and micro analysis on enhanced oil recovery (EOR) mechanisms of multi-component composite steam flooding (MCCSF) based on image recognition algorithm.GEOENERGY SCIENCE AND ENGINEERING,249,16. |
| MLA | Hong, Qingjing,et al."Quantitative macro and micro analysis on enhanced oil recovery (EOR) mechanisms of multi-component composite steam flooding (MCCSF) based on image recognition algorithm".GEOENERGY SCIENCE AND ENGINEERING 249(2025):16. |
入库方式： OAI收割
来源：力学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。