Optimization of geothermal water exploitation in Xinji, Hebei Province, P. R. China

YUE Gao-fan; LV Wen-bin; ZHANG Wei; SU Ran; LIN Wen-jing

Volume 4 Issue 3

Sep. 2016

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Article Navigation > Journal of Groundwater Science and Engineering > 2016 > 4(3): 197-203

YUE Gao-fan, LV Wen-bin, ZHANG Wei, et al. 2016: Optimization of geothermal water exploitation in Xinji, Hebei Province, P. R. China. Journal of Groundwater Science and Engineering, 4(3): 197-203.

Citation:

YUE Gao-fan, LV Wen-bin, ZHANG Wei, et al. 2016: Optimization of geothermal water exploitation in Xinji, Hebei Province, P. R. China. Journal of Groundwater Science and Engineering, 4(3): 197-203.

YUE Gao-fan, LV Wen-bin, ZHANG Wei, et al. 2016: Optimization of geothermal water exploitation in Xinji, Hebei Province, P. R. China. Journal of Groundwater Science and Engineering, 4(3): 197-203.

Citation:

YUE Gao-fan, LV Wen-bin, ZHANG Wei, et al. 2016: Optimization of geothermal water exploitation in Xinji, Hebei Province, P. R. China. Journal of Groundwater Science and Engineering, 4(3): 197-203.

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Optimization of geothermal water exploitation in Xinji, Hebei Province, P. R. China

1Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China. 2China University of Geosciences (Beijing), Beijing 100083, China. 3No.3 Team of Hydrogeology and Engineering Geology, Hebei Provincial Geological Prospecting Bureau, Hengshui 053000, China. 4Hydrological Engineering & Geological Prospecting Institute of Hebei Province, Shijiazhuang 050061, China.

Publish Date: 2016-09-28

Abstract

Abstract

Geothermal with features of large reserves and non-pollution has been one of the most important energy. China has significant geothermal resources. There are rich hydrothermal resources in Xinji, which has been in development for 5 years. However, hot water continues to decrease because of extensive exploitation and utilization. We selected exploration area as study area, build a set of numerical models of Guantao formation on the basis of actual geological conditions. We get the distribution of hydraulic conductivity from 1.7 m/d to 1.9 m/d by parameter inversion using historical water level monitoring data, and simulation effect is good. We calculate the maximum permissible exploitation under the limitation of 200 m in depth in 50 years which is about 2.2 million m3/a. The results will provide theoretic support for plan making of geothermal exploitation.
- Geothermal energy,
- Numerical simulation,
- Inverse calculation,
- Maximum permissible exploitation

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References(18)

References

LI Yu, LIU Bing-zhong, et al. 2014. GMS in Shou West exploitation of water sources optimi-zation of application solutions. Under?ground Water, (5): 91–95.

GANG Shen-ting, DENG Ying-er. 2015. Comprehensive summary of GMS application for groundwater resource evaluation and management. Ground water, (2): 33–36.

WANG Hua-qi, ZHANG Mao-sheng, et al. 2014. Optimal groundwater management model for Salawusu formation in consideration of ecological constraint. Journal of Yangtze River Scientific Research Institute, 31(4): 21–25.

CHEN Mo-xiang, WANG Ji-yang. 1994. China’s geothermal resources-the formation characte-ristics and potential assessment. Beijing: Science Press, 1–39.

WANG Li-ya. 2014. A model study of groundwater sustainability in Beijing plain. Beijing: China University of Geosciences (Beijing) .

ZHANG Xin, XU Shi-guang, et al. 2015. The application of GMS in groundwater numerical simulation. Henan Science, 33(11): 1994– 1997.

LIN Jin, ZHENG Chun-miao, et al. 2007. Ground water simulation optimization model based on genetic algorithm under variable density conditions. Journal of Hydraulic Engineering, 38(10): 1236–1244.

LIN Wen-jing, LIU Zhi-ming, et al. 2013. The assessment of geothermal resources potential of China. Geology in China, 40(1): 312–321.

WU Ming, WU Jian-feng, et al. 2015. New harmonic oscillator genetic algorithm for efficient groundwater optimization and management. Journal of Jilin University (Earth Science Edition), (5): 1485–1492.

ZHANG Fen-na, JIA Zhi, et al. 2014. MODFLOW application on the numerical simulation of geothermal fluid in Tianjin Binhai new area. Geological Survey and Research, 37(3): 237–241.

ZHANG Jin-hua, WEI Wei, et al. 2013. The development, utilization and sustainable development of geothermal resources. Sino- Global Energy, 18(1): 30–35.

ZHU Xiao-bin. 2003. Groundwater Modeling System (GMS) software. Hydrogeology & Engineering Geology, 30(5): 53–55.

QIU Mei-da, SU Qing-shan, ZHAO Yu-hong. 1989. Research on the coefficients of water release and storage in the aquifer. Journal of Changchun University of Earth Science, 19(2): 191–198.

Panday S, Langevin C D, et al. 2013. MODFLOW–USG version 1: An unstructured grid version of MODFLOW for simulating groundwater flow and tightly coupled processes using a control volume finite- difference formulation. Reston: U.S. Geological Survey, 66.

HUANG Dan, XIAO Wei, LI Yong. 2005. The 3D numerical simulation and optimal pumping of groundwater. Resources Survey & Environ-ment, 26(2): 137–145.

ZHENG Ting-ting, ZUO Jing-sheng. 2013. The optimization of groundwater exploitation scheme in a certain water intake project of Heilongjiang Province using numerical simulation based on GMS. Journal of Anhui Agricultural Sciences, 41(8): 3587–3589.

LIAO Zhong-li, ZHANG Yu-jie, et al. 2006. Available persist exploitation and utilization of geothermal resources. China Mining Magazine, 15(10): 8–11.

GONG Hui-li. 1998. Numerical simulation and optimal management of the groundwater seepage field in Zhengzhou City. Act a Scientiarum Naturalium Universitatis Pekinensis, 34(6): 121–129.

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