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Analysis of the stanford geothermal reservoir model experiments using the LBL reservoir simulator
Authors:S.T. Lam   A. Hunsbedt   P. Kruger  K. Pruess
Affiliation:1. Stanford Geothermal Program, Stanford University, Stanford, CA 94305, U.S.A.;2. Lawrence Berkeley Laboratory, One Cyclotron Road, Berkeley, CA 94720, U.S.A.;1. Key Laboratory of Unconventional Oil & Gas Development (China University of Petroleum (East China)), Ministry of Education, Qingdao, 266580, Shandong, China;2. School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, 266580, Shandong, China;3. Bureau of Economic Geology, The Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, USA;4. Research Institute of Petroleum Exploration and Development, Beijing, 100083, China;5. Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong, China;6. Washington University in St. Louis, St. Louis, MO, 63130, USA;1. Computational Earth Science Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87545, United States of America;2. Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, United States of America;3. Physics and Chemistry of Materials Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, United States of America;1. Geological and Geophysical Institute of Hungary, 1143 Budapest, Stefánia 14., Hungary;2. Geological Survey of Austria, 1030 Wien, Neulinggasse 38., Austria;1. German Research Center for Geosciences (GFZ), Section 2.6 Seismic Hazard and Stress Field, Telegrafenberg, 14473 Potsdam, Germany;2. NORSAR, P.O. Box 53, N-2027 Kjeller, Norway;3. GFZ, International Center for Geothermal Research, 14473 Potsdam, Germany;4. Swiss Seismological Service, ETH Zürich, Sonneggstrasse 5, CH-8092 Zürich, Switzerland;5. Array Information Technology, 2020 Cedar Street, Berkeley, CA 94709, USA;6. U.S. Geological Survey, Menlo Park, CA 94025, USA;7. Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Abstract:This paper describes the results of an analysis of data obtained from a series of heat-sweep experiments performed in the Stanford Geothermal Reservoir Model using the Lawrence Berkeley Laboratory reservoir simulator. The physical reservoir model is an experimental system consisting of a pressure vessel which contains a granite rock matrix with production and recharge capabilities to simulate the heat-sweep process in a fractured hydrothermal reservoir under liquid-phase conditions.Arrangements were made with the Lawrence Berkeley Laboratory to test their geothermal reservoir simulator on the physical model data. The objectives were to provide insight into the detailed physical processes occurring in the relatively complex physical system and to provide feedback to LBL on the capability and possible improvements to the LBL reservoir simulator to model a complex physical system.The overall conclusion of this work is that the LBL simulator does an excellent job of predicting the physical processes in the Stanford Geothermal Reservoir Model experiments for extreme thermal gradient conditions and for a system with very complex boundary conditions. The analysis demonstrates the importance of specifying relevant parameters accurately to provide adequate modeling for the important physical processes.
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