A Geostatistical Study in Support of CO2 Storage in Deep Saline Aquifers of the Shenhua CCS Project, Ordos Basin, China
文献类型：会议论文
| 作者 | Nguyen, Minh C.1,3; Zhang, Ye1; Li, Jun2; Li, Xiaochun2 ; Bai, Bing2; Wu, Haiqing2; Wei, Ning2; Stauffer, Philip H.3
|
| 出版日期 | 2017 |
| 会议日期 | NOV 14-18, 2016 |
| 会议地点 | Lausanne, SWITZERLAND |
| 关键词 | Geostatistics Modeling CO Injection Pilot Project |
| 卷号 | 114 |
| DOI | 10.1016/j.egypro.2017.03.1720 |
| 页码 | 5826-5835 |
| 英文摘要 | The Shenhua Carbon Capture and Storage (CCS) project at the Shenbei Slope injection site in North Yulin is the first 100,000 ton-per-year scale CCS pilot project in China with an injection operation lasting nearly 3 years. In this study, we investigate various geostatistical methods and their impact on the respective geologic models on which simulation is performed to understand the phenomena observed during 3 years of Shenhua CCS operations. Although there was a brief period of wellhead pressure increase at the injection well, it unexpectedly dropped for most of the time. Another interesting observation showed that the majority of CO2 gas injection was received by the topmost sandstone Liujiagou formation instead of the basement limestone Majiagou formation, which was predicted to have much more injectivity and storage capacity. Based on the current geostatistical methods and available data, 3 steps of reservoir modeling and flow simulation are carried out and they go from having homogeneous property models to incorporating standard 2-point geostatistical methods to using object-based models. The layer-cake models generate a rather uniform plume shape and increased pressure response. Meanwhile, two-point statistical models add more complexity to the size and shape of CO2 plume, however are not capable of reproducing the pressure decline behavior. These results demonstrate homogeneous and 2-point geostatistical models are inadequate in interpreting subsurface heterogeneity, both due to their method and data limitations. Further work is being done with object-based models to produce a system of meandering rivers based on the geological concept of Shenhua injection site. This will help offset the data limitation and bring our model closer to geologic reality. (C) 2017 The Authors. Published by Elsevier Ltd. |
| 会议录 | 13TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-13
 |
| 会议录出版者 | ELSEVIER SCIENCE BV |
| 会议录出版地 | AMSTERDAM |
| 语种 | 英语 |
| WOS研究方向 | Science & Technology - Other Topics ; Energy & Fuels ; Engineering |
| WOS记录号 | WOS:000419147306008 |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/4934]  |
| 专题 | 岩土力学所知识全产出_会议论文 |
| 作者单位 | 1.Univ Wyoming, Dept Geol & Geophys; 2.Chinese Acad Sci, Inst Rock & Soil Mech ; 3.Los Alamos Natl Lab, Earth & Environm Sci |
| 推荐引用方式 GB/T 7714 | Nguyen, Minh C.,Zhang, Ye,Li, Jun,et al. A Geostatistical Study in Support of CO2 Storage in Deep Saline Aquifers of the Shenhua CCS Project, Ordos Basin, China[C]. 见:. Lausanne, SWITZERLAND. NOV 14-18, 2016. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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。