Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR022019 |
Tuning Fractures With Dynamic Data | |
Yao, Mengbi1; Chang, Haibin1; Li, Xiang1; Zhang, Dongxiao2,3,4 | |
2018-02-01 | |
发表期刊 | WATER RESOURCES RESEARCH
![]() |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2018 |
卷号 | 54期号:2页码:680-707 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Flow in fractured porous media is crucial for production of oil/gas reservoirs and exploitation of geothermal energy. Flow behaviors in such media are mainly dictated by the distribution of fractures. Measuring and inferring the distribution of fractures is subject to large uncertainty, which, in turn, leads to great uncertainty in the prediction of flow behaviors. Inverse modeling with dynamic data may assist to constrain fracture distributions, thus reducing the uncertainty of flow prediction. However, inverse modeling for flow in fractured reservoirs is challenging, owing to the discrete and non-Gaussian distribution of fractures, as well as strong nonlinearity in the relationship between flow responses and model parameters. In this work, building upon a series of recent advances, an inverse modeling approach is proposed to efficiently update the flow model to match the dynamic data while retaining geological realism in the distribution of fractures. In the approach, the Hough-transform method is employed to parameterize non-Gaussian fracture fields with continuous parameter fields, thus rendering desirable properties required by many inverse modeling methods. In addition, a recently developed forward simulation method, the embedded discrete fracture method (EDFM), is utilized to model the fractures. The EDFM maintains computational efficiency while preserving the ability to capture the geometrical details of fractures because the matrix is discretized as structured grid, while the fractures being handled as planes are inserted into the matrix grids. The combination of Hough representation of fractures with the EDFM makes it possible to tune the fractures (through updating their existence, location, orientation, length, and other properties) without requiring either unstructured grids or regridding during updating. Such a treatment is amenable to numerous inverse modeling approaches, such as the iterative inverse modeling method employed in this study, which is capable of dealing with strongly nonlinear problems. A series of numerical case studies with increasing complexity are set up to examine the performance of the proposed approach. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000428474500003 |
WOS关键词 | ENSEMBLE KALMAN FILTER ; POROUS-MEDIA ; DATA ASSIMILATION ; MODELING FLUID ; FLOW ; RESERVOIRS ; EFFICIENT ; PARAMETERIZATION ; FACIES |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21211 |
专题 | 资源环境科学 |
作者单位 | 1.Peking Univ, Dept Energy & Resources Engn, Coll Engn, Beijing, Peoples R China; 2.Peking Univ, ERE, Beijing, Peoples R China; 3.Peking Univ, BIC ESAT, Beijing, Peoples R China; 4.Peking Univ, SKLTCS, Coll Engn, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Yao, Mengbi,Chang, Haibin,Li, Xiang,et al. Tuning Fractures With Dynamic Data[J]. WATER RESOURCES RESEARCH,2018,54(2):680-707. |
APA | Yao, Mengbi,Chang, Haibin,Li, Xiang,&Zhang, Dongxiao.(2018).Tuning Fractures With Dynamic Data.WATER RESOURCES RESEARCH,54(2),680-707. |
MLA | Yao, Mengbi,et al."Tuning Fractures With Dynamic Data".WATER RESOURCES RESEARCH 54.2(2018):680-707. |
条目包含的文件 | 条目无相关文件。 |
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。
修改评论