Two-Phase Relative Permeability Curves of Bingham Heavy Oil Under Different Types of Wettability: A Theoretical Model
文献类型:期刊论文
| 作者 | Wang, Qing1; Li, Yu1; Peng, Chao1; Peng, Jiao2; Fu, Jingyu3; Liu, Renjie4; Liu, Huiqing1; Li, Jiaxin1; Peng, Hao5 |
| 刊名 | GEOFLUIDS
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| 出版日期 | 2024-10-15 |
| 卷号 | 2024页码:13 |
| ISSN号 | 1468-8115 |
| DOI | 10.1155/2024/5057354 |
| 通讯作者 | Wang, Qing(wq2012@cup.edu.cn) |
| 英文摘要 | As an important and universal petrophysics of heavy oil reservoirs, the two-phase flow ability inside porous medium is vital for heavy oil development. Utilizing the laminar flow theory and an ideal pore structure, especially cylinder model, the function of the relative permeability of heavy oil-water with water saturation is derived by incorporating the principles of momentum conservation and the characteristics of Bingham fluids, which was modified by validated experiment. Two-phase relative permeability, considering heavy oil as non-Newtonian fluid, is the function of water saturation, pore size, oil-water viscosity ratio, and yield stress. The results of the validated experiment show that the theoretical values calculated employing the modified equation exhibit better agreement with the experimental values, particularly when the viscosities of two-phase fluid are great. The results of the modified two-phase relative permeability show a decrease in water saturation interval corresponding to the two-phase flow area and a smaller value of permeability at equal two-phase relative permeability. The oil-water viscosity ratio in the hydrophobic pores affects the water-phase relative permeability, although the magnitude of its influence diminishes as the viscosity ratio increases. The behavior of relative permeability in hydrophilic pores is the opposite of that in hydrophobic pores. This work can afford good application prospects for mobility control in multilayered reservoirs through the heterogeneous-phase-composite fluid. The saturations of the remaining oil and irreducible water also play a vital role in the prediction of permeability. The work can afford good application prospects for the flow behavior of Bingham heavy oil in pores with different types of wettability. |
| WOS关键词 | FLOW ; WATER ; TEMPERATURE ; OIL/WATER ; MEDIA ; STEAM |
| 资助项目 | Ministry of Education for Gas Energy Development and Utilization ; Science Foundation of China University of Petroleum, Beijing[2462024PTJS009] ; Open Project of the Engineering Research Center of the Ministry of Education for Gas Energy Development and Utilization |
| WOS研究方向 | Geochemistry & Geophysics ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001342358700001 |
| 出版者 | WILEY |
| 资助机构 | Ministry of Education for Gas Energy Development and Utilization ; Science Foundation of China University of Petroleum, Beijing ; Open Project of the Engineering Research Center of the Ministry of Education for Gas Energy Development and Utilization |
| 源URL | [http://ir.giec.ac.cn/handle/344007/43318] ![]() |
| 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.Kunlun Shuzhi Technol Co Ltd, Oil & Gas Prod Business Dept, Beijing 100040, Peoples R China 3.PetroChina Tarim Oilfield Co, Korla 841000, Xinjiang, Peoples R China 4.PetroChina Xinjiang Oilfield Co, Engn Technol Res Inst, Karamay 834000, Peoples R China 5.Univ Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510650, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Qing,Li, Yu,Peng, Chao,et al. Two-Phase Relative Permeability Curves of Bingham Heavy Oil Under Different Types of Wettability: A Theoretical Model[J]. GEOFLUIDS,2024,2024:13. |
| APA | Wang, Qing.,Li, Yu.,Peng, Chao.,Peng, Jiao.,Fu, Jingyu.,...&Peng, Hao.(2024).Two-Phase Relative Permeability Curves of Bingham Heavy Oil Under Different Types of Wettability: A Theoretical Model.GEOFLUIDS,2024,13. |
| MLA | Wang, Qing,et al."Two-Phase Relative Permeability Curves of Bingham Heavy Oil Under Different Types of Wettability: A Theoretical Model".GEOFLUIDS 2024(2024):13. |
入库方式: OAI收割
来源:广州能源研究所
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