Abstract—The Jxw geothermal reservoir in the Dongli Lake area is an extensive, low temperature geothermal system hosted mainly by Mesoproterozoic dolomitic limestones. In order to study the flow paths and predict the recovery time and tracer concentration in the production well, a numerical method using Visual MODFLOW software were applied. For the most pessimistic case (longitudinal dispersivity equals to 383.5 m), the tracer will take more than a year to arrive at the production well, with concentration values outside of the detection limit. Results show that there is no direct connection between production and injection wells.
Index Terms—Numerical model, tracer test, geothermal reservoir, recovery.
Wanli Wang is with the Institute of Hydrogeology and Environmental Geology, CAGS, Shi Jiazhuang, China and also with China University of Geosciences, Wuhan, China. She was with United Nations University Geothermal Training Program, Reykjavik, Iceland (e-mail: wanliwang2010@163.com).
Guiling Wang and Chunlei Liu are with the Institute of Hydrogeology and Environmental Geology, CAGS, Shi Jiazhuang, China (e-mail: guilingw@163.com, chuleiliu-dn@163.com).
Vaiva Čypaitė is with the ÍSOR (Iceland GeoSurvey), Reykjavik, Iceland (e-mail: vaiva.cypaite@isor.is).
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Cite:Wanli Wang, Guiling Wang, Chunlei Liu, and Vaiva Čypaitė, "Modeling and Prediction of Tracer Tests in Dongli Lake Area in Tianjin, China," Journal of Clean Energy Technologies vol. 6, no. 3, pp. 209-212, 2018.
