中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地质与地球物理研究所
  3. 中国科学院地质与地球物理研究所
  4. 岩石圈演化国家重点实验室
Estimating geothermal resources in Bohai Bay Basin, eastern China, using Monte Carlo simulation

文献类型：期刊论文

作者Wang, Zhuting1,2,3; Jiang, Guangzheng1,2,3; Zhang, Chao1,2,3; Tang, Xianchun4; Hu, Shengbiao1,2,3
刊名ENVIRONMENTAL EARTH SCIENCES
出版日期2019-06-01
卷号78期号:12页码:13
关键词Geothermal resource Thermal reservoir The volumetric method Monte Carlo simulation Bohai Bay Basin
ISSN号1866-6280
DOI10.1007/s12665-019-8352-7
英文摘要Geothermal energy is being widely exploited as a clean and renewable energy resource, and accurate assessments of potential resources can help us make reasonable planning and utilization of them. The volumetric method has been widely used in assessing geothermal resources owing to its simplicity and convenience. However, this method does not take into account the uncertainties of the input parameters involved, instead assigning a series of specific parameter values for each reservoir. Here, a Monte Carlo simulation approach was used to reduce these uncertainties while applying the volumetric method to estimate the geothermal resources of Bohai Bay Basin in eastern China. The basin contains two main types of thermal reservoirs: sandstone and carbonate. In applying Monte Carlo analysis to these reservoirs, the triangular and uniform distribution models for input parameters were used, and simulations were run with 1000-5000 iterations. Results indicate capacities of (1.182-2.283) x 10(21) J (most likely 1.74 x 10(21) J) and (1.299-2.546) x 10(21) J (most likely 1.937 x 10(21) J) for the Minghuazhen and Guantao sandstone reservoirs, respectively, and a capacity of (0.608-1.254) x 10(21) J (most likely 8.450 x 10(20) J) for the carbonate reservoir, finally, a range value (3.466-5.553) x 10(21) J (most likely 4.400x 10(21) J) for the whole Bohai Bay Basin.
WOS关键词HEAT-FLOW ; CONTINENTAL AREA ; REGIME
资助项目National Key R&D Program of China[2018YFC0604302] ; National Science and Technology Major Project of China[2017ZX05008-004] ; China Geological Survey[DD20189114] ; China Geological Survey[JYYWF20181101]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Water Resources
语种英语
WOS记录号WOS:000470757300004
出版者SPRINGER
资助机构National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; China Geological Survey ; China Geological Survey ; China Geological Survey ; China Geological Survey ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; China Geological Survey ; China Geological Survey ; China Geological Survey ; China Geological Survey ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; China Geological Survey ; China Geological Survey ; China Geological Survey ; China Geological Survey ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; China Geological Survey ; China Geological Survey ; China Geological Survey ; China Geological Survey
源URL[http://ir.iggcas.ac.cn/handle/132A11/92516]  
专题地质与地球物理研究所_岩石圈演化国家重点实验室
通讯作者Wang, Zhuting
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, State Key Lab Lithosphere Evolut, Beijing 100029, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China
4.Chinese Acad Geol Sci, Beijing 100037, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Zhuting,Jiang, Guangzheng,Zhang, Chao,et al. Estimating geothermal resources in Bohai Bay Basin, eastern China, using Monte Carlo simulation[J]. ENVIRONMENTAL EARTH SCIENCES,2019,78(12):13.
APA Wang, Zhuting,Jiang, Guangzheng,Zhang, Chao,Tang, Xianchun,&Hu, Shengbiao.(2019).Estimating geothermal resources in Bohai Bay Basin, eastern China, using Monte Carlo simulation.ENVIRONMENTAL EARTH SCIENCES,78(12),13.
MLA Wang, Zhuting,et al."Estimating geothermal resources in Bohai Bay Basin, eastern China, using Monte Carlo simulation".ENVIRONMENTAL EARTH SCIENCES 78.12(2019):13.

入库方式： OAI收割

来源：地质与地球物理研究所

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。