Journal of Jilin University(Earth Science Edition) ›› 2017, Vol. 47 ›› Issue (1): 189-196.doi: 10.13278/j.cnki.jjuese.201701205

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Geothermal Anomaly Areas Exploration and Ground Temperature Prediction Based on 2-Meter Temperature Survey

Zhang Yanjun1,2, Zhang Tong1, Yin Renchao3, Zheng Jie4, Liu Tong1, Xie Yangyang1   

  1. 1. College of Construction Engineering of Jilin University, Changchun 130026, China;
    2. Key Lab of Groundwater Resource and Environment Ministry of Education, Jilin University, Changchun 130026, China;
    3. Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, Guangxi, China;
    4. Xiamen Institute of Geotechnical Engineering, Xiamen 361004, Fujian, China
  • Received:2016-03-19 Online:2017-01-26 Published:2017-01-26
  • Supported by:
    Supported by National Natural Science Foundation of China(41372239) and Special Research Fund for the Doctoral Program of Higher Education(20110061110055)

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Abstract: Geothermal anomaly areas exploration is essential for the development and utilization of geothermal energy. 2-meter temperature survey and associated apparatus are used to get temperature and thermal conductivity data of 1-2 m depth in a hot springs area of Dongshan, Xiamen. Then temperature contour map of 2 m depth and heat flow density distribution map of shallow layer are drawn, geothermal anomaly areas of research area are delineated. The one-dimensional steady-state heat conduction model is used for ground temperature inversion of 20 m depth. Then inversion results are compared with measured temperature of 20 m depth. The results show that the effect of 2 meters temperature survey for geothermal anomaly areas is obvious and prediction result of one-dimensional steady-state heat conduction model is consistent with measured results. This method can be used as an effective mean for early stage geothermal exploration.

Key words: 2-meter temperature survey, geothermal anomaly areas, prediction model of temperature

CLC Number: 

  • P642.22
[1] 李正伟,张延军,郭亮亮,等.松辽盆地北区干热岩开发水热产出预测[J].吉林大学学报(地球科学版),2015,45(4):1189-1197. Li Zhengwei, Zhang Yanjun, Guo Liangliang, et al. Prediction of Hydrothermal Production from Hot Dry Rock Development in Northern Songliao Basin[J]. Journal of Jilin University(Earth Science Edition), 2015,45(4):1189-1197.
[2] 汪集旸,胡圣标,庞忠和,等.中国大陆干热岩地热资源潜力评估[J].科技导报, 2012, 30(32):25-31. Wang Jiyang, Hu Shengbiao, Pang Zhonghe, et al. Estimate of Geothermal Resources Potential for Hot Dry Rock in the Continental Area of China[J]. Science & Technology Review, 2012, 30(32):25-31.
[3] Kappelmeyer O. The Use of Near Surface Tempera-ture Measurements for Discovering Anomalies due to Causes at Depth[J]. Geophysical Prospecting, 1957, 5(3):239-258.
[4] Olmsted F H. Use of Temperature Surveys at a Depth of 1 Meter in Geothermal Exploration in Nevada[J]. United States Geological Survey Professional Pape, 1977,1044-B:25.
[5] Coolbaugh M F, Sladek C, Faulds J E, et al. Use of Rapid Temperature Measurements at a 2-Meter Depth to Augment Deeper Temperature Gradient Drilling[C]//Thirsty-Second Workshop on Geothermal Reservoir Engineering. Palo Alto:Stanford University, 2007.
[6] Sladek C, Coolbaugh M F, Zehner R. Development of 2-Meter Soil Temperature Probes and Results of Temperature Survey Conducted at Desert Peak, Nevada, USA[J]. GRC Transaction, 2007, 31:363-368.
[7] Kratt C, Coolgbaugh M F, Sladek C, et al. A New Gold Pan for the West:Discovering Blind Geothermal Systems with Shallow Temperature Surveys[J]. GRC Transaction, 2008, 32:153-158.
[8] Kratt C, Sladek C, Coolbaugh M F, et al. Boom and Bust with the Latest 2 m Temperature Surveys:Dead Horse Wells, Hawthorne Army Depot, Terraced Hills, and Other Areas in Nevada[J]. GRC Transactions, 2010, 34:567-574.
[9] Zehner R E, Tuller K N, Rutledge E. Effectiveness of 2-Meter and Geoprobe Shallow Temperature Turveys in Early Stage Geothermal Exploration[J]. GRC Transaction, 2012, 36:835-841.
[10] 贾苓希,关小平,徐建华.在热勘察中一米测温法几个问题的探讨[J].物探与化探,1986,10(2):115-122. Jia Lingxi, Guan Xiaoping, Xu Jianhua. An Investigation into some Problems of One Meter Thermometry in Geothermal Exploration[J].Geophysical & Geochemical Exploration,1986, 10(2):115-122.
[11] 贾苓希,李大心,关小平.地热勘察中浅层测温法勘探能力的探讨[J].物化探计算技术,1987,9(4):280-285. Jia Lingxi, Li Daxin, Guan Xiaoping. Discussion on Detectability of Temperature Measurement at Shallow Depth in Geothermal Exploration[J]. Computing Techniques for Geophysical and Geochemical Exploration,1987, 9(4):280-285.
[12] 贾苓希,李大心,戴仲鸿.一米测温在漳州地热区的应用效果[J].地球科学:中国地质大学学报,1988,13(3):263-269. Jia Lingxi, Li Daxin, Dai Zhonghong. The Application Effect of One Meter Geothermometry in Zhangzhou Geothermal Area[J]. Earth Science:Journal of China University of Geosciences, 1988, 13(3):263-269.
[13] Elachi C, Zyl J V. Introduction to the Physics and Techniques of Remote Sensing[M]. New Jersey:John Wiley and Sons,2006.
[14] 张常亮,李萍,李同录,等.黄土中降雨入渗规律的现场监测研究[J].水利学报, 2014,45(6):728-734. Zhang Changliang, Li Ping, Li Tonglu, et al. In-Situ Observation on Rainfall Infiltration in Loss[J]. Journal of Hydraulic Engineering, 2014, 45(6):728-734.
[15] Tu X B, Kwong A K L, Dai F C, et al. Field Monitoring of Rainfall Infiltration in a Loess Slope and Analysis of Failure, Mechanism of Rainfall-Induced Landslides[J]. Engineering Geology, 2009, 105:134-150.
[16] Coolbaugh M F, Sladek C, Kratt C. Compenasation for Seasonal and Surface Effects of Shallow (Two-Meter) Temperature Measurements[J]. GRC Transaction, 2010, 34:851-856.
[17] 张延军,李建明,殷仁朝,等. 便携式原位浅层地温和导热系数测量装置及测试方法:中国,CN104048993A[P].2014-09-17. Zhang Yanjun, Li Jianming, Yin Renchao, et al. In-Situ Portable Testing Equipment and Method of Shallow Layer Temperature and Thermal Conduc-tivity:China,CN104048993A[P]. 2014-09-17.
[18] 胡圣标,何丽娟,汪集旸.中国大陆地区大地热流数据汇编:第3版[J].地球物理学报,2001,44(5):611-626. Hu Shengbiao,He Lijuan,Wang Jiyang.Compi-lation of Heat Flow Data for Continental Area of China:3rd Edition[J]. Chinese Journal of Geophysics, 2001, 44(5):611-626.
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