Multiple-point statistical prediction on fracture networks at Yucca Mountain
文献类型：期刊论文
| 作者 | Birkholzer, Jens1; Liu, Xiaoyan2; Zhang, Chengyuan2; Liu, Quansheng2 |
| 刊名 | ENVIRONMENTAL GEOLOGY
 |
| 出版日期 | 2009 |
| 卷号 | 57期号:6页码:1361-1370 |
| 关键词 | Multiple-point-statistics Fracture network Seepage Nuclear waste repository Yucca Mountain |
| ISSN号 | 0943-0105 |
| DOI | 10.1007/s00254-008-1623-3 |
| 英文摘要 | In many underground nuclear waste repository systems, such as Yucca Mountain project, water flow rate and amount of water seepage into the waste emplacement drifts are mainly determined by hydrological properties of fracture network in the surrounding rock mass. Natural fracture network system is not easy to describe, especially with respect to its connectivity which is critically important for simulating the water flow field. In this paper, we introduced a new method for fracture network description and prediction, termed multi-point-statistics (MPS). The process of Multi-point Statistical method is to record multiple-point statistics concerning the connectivity patterns of fracture network from a known fracture map, and to reproduce multiple-scale training fracture patterns in a stochastic manner, implicitly and directly. It is applied to fracture data to study flow field behavior at Yucca Mountain waste repository system. First, MPS method is used to create fracture network with original fracture training image from Yucca Mountain dataset. After we adopt a harmonic and arithmetic average method to upscale the permeability to a coarse grid, THM simulation is carried out to study near-field water flow in surrounding rock of waste emplacement drifts. Our study shows that connectivity or pattern of fracture network can be grasped and reconstructed by Multi-Point-Statistical method. In theory, it will lead to better prediction of fracture system characteristics and flow behavior. Meanwhile, we can obtain variance from flow field, which gives us a way to quantify uncertainty of models even in complicated coupled THM simulation. It indicates that Multi-Point Statistics is a potential method to characterize and reconstruct natural fracture network in a fractured rock mass with advantages of quantifying connectivity of fracture system and its simulation uncertainty simultaneously. |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000265622900012 |
| 出版者 | SPRINGER |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/3206]  |
| 专题 | 岩土力学所知识全产出_期刊论文 国家重点实验室知识产出_期刊论文 |
| 作者单位 | 1.Univ Calif Berkeley, Lawrence Berkeley Lab, Div Earth Sci 2.Chinese Acad Sci, State Key Lab Geomech & Geotech Engn, Inst Rock & Soil Mech; |
| 推荐引用方式 GB/T 7714 | Birkholzer, Jens,Liu, Xiaoyan,Zhang, Chengyuan,et al. Multiple-point statistical prediction on fracture networks at Yucca Mountain[J]. ENVIRONMENTAL GEOLOGY,2009,57(6):1361-1370. |
| APA | Birkholzer, Jens,Liu, Xiaoyan,Zhang, Chengyuan,&Liu, Quansheng.(2009).Multiple-point statistical prediction on fracture networks at Yucca Mountain.ENVIRONMENTAL GEOLOGY,57(6),1361-1370. |
| MLA | Birkholzer, Jens,et al."Multiple-point statistical prediction on fracture networks at Yucca Mountain".ENVIRONMENTAL GEOLOGY 57.6(2009):1361-1370. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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