Modeling contribution to risk assessment of thermal production power for geothermal reservoirs |
| |
| Affiliation: | 1. Institute for Applied Geophysics and Geothermal Energy, E.ON Energy Research Center, RWTH Aachen University, Mathieustr. 10, 52056 Aachen, Germany;2. Institute of Geosciences, Christian-Albrecht-University of Kiel, Otto-Hahn-Platz 1, 24118 Kiel, Germany;3. Geophysica Beratungsgesellschaft mbH, Lütticherstr. 32, 52064 Aachen, Germany;1. Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, Ministry of Education, Tianjin University, Tianjin 300072, China;2. Tianjin Geothermal Research and Training Center, School of Mechanical Engineering, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, China;3. Daqing Oilfield Limited Company, Longshi Road, Ranghulu District, Daqing, Heilongjiang Province 163453, China;1. Energy Geociences Division 74-316C, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States;2. School of Geosciences, College of Sciences, University of Louisiana at Lafayette, Lafayette, LA 70504, United States;3. Schlumberger-Doll Research, One Hampton Street, Cambridge, MA 02139, United States;1. Department of Civil Engineering, Tsinghua University, Beijing 100084, China;2. State Key Laboratory for Geomchanics & Deep Underground Engineering, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China;1. Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China;2. Center for Hydrogeology and Environmental Geology Survey, China Geological Survey, Baoding, 071051, China;3. Environmental Geological Prospecting Bureau of Qinghai Province, Xining, 810007, China |
| |
| Abstract: | We analyze the likelihood of success for heat production strategies in a sandstone reservoir in the north-eastern German basin in a depth of about 2 km by simulating both double and single well configurations. For this test case study we use an exploited oil and gas field. We combine seismic interpretation, numerical modeling, and stochastic estimation of rock properties to predict the transient temperature and pressure variations and their uncertainties in a geothermal reservoir. We demonstrate the essential necessity in geothermal reservoir modeling to account for heterogeneity of rock properties. We use 3D seismic data and stratigraphy data from about 100 wells at 1500 m – 2500 m depth for setting up a 3D stratigraphic model. Rock properties are assigned to this model by a Monte Carlo approach using Sequential Gaussian Simulation. Using 3D inversion of temperature data obtained in the wells we estimate a specific heat flow of 77.7 mW m−2 ± 1.2 mW m−2 at 6 km depth, in agreement with a temperature of 87.1 °C ± 1.8 K in the Rhaetian sandstone target layer at a depth of ∼2 km. For different types of potential geothermal well installations inside the Rhaetian sandstone layer the probability of success is just 1.6%. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
