The Northwest Geysers EGS Demonstration Project, California: Pre-stimulation Modeling and Interpretation of the Stimulation
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  • 作者:Jonny Rutqvist ; Patrick F. Dobson ; Julio Garcia ; Craig Hartline…
  • 关键词:EGS ; Modeling ; Coupled processes ; Geomechanics ; Induced seismicity ; Fluid injection
  • 刊名:Mathematical Geosciences
  • 出版年:2015
  • 出版时间:January 2015
  • 年:2015
  • 卷:47
  • 期:1
  • 页码:3-29
  • 全文大小:4,156 KB
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    17. Rutqvist J, Oldenburg C (2007) Analysis of cause and mechanism for injection-induced seismicity at the Geysers geothermal field. GRC Trans 31:441-45
    18. Rutqvist J, Oldenburg CM (2008) Analysis of injection-induced micro-earthquakes in a geothermal steam reservoir, Geysers geothermal field, California. In: Proceedings of the 42th US rock mechanics symposium, San Francisco, California, USA, June 29–July 2, 2008. American Rock Mechanics Association, San Francisco. Paper no?151
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    20. Rutqvist J, Dobson PF, Oldenburg CM, Garcia J, Walters M (2010) The northwest Geysers EGS demonstration project phase 1: pre-stimulation coupled geomechanical modeling to guide stimulation and monitoring plans. GRC Trans 34:1243-250
    21. Schmitt AK, Grove M, Harrison TM, Lovera O, Hulen J, Walters M (2003) The Geysers–Cobb mountain magma system, California (part 2): timescales of
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Earth sciences
    Mathematical Applications in Geosciences
    Statistics for Engineering, Physics, Computer Science, Chemistry and Geosciences
    Geotechnical Engineering
    Hydrogeology
  • 出版者:Springer Berlin Heidelberg
  • ISSN:1874-8953
文摘
The Northwest Geysers Enhanced Geothermal System (EGS) demonstration project aims to create an EGS by directly and systematically injecting cool water at relatively low pressure into a known High Temperature (280-00?°C) Zone (HTZ) located under the conventional (240?°C) geothermal steam reservoir at The Geysers geothermal field in California. In this paper, the results of coupled thermal, hydraulic, and mechanical (THM) analyses made using a model developed as part of the pre-stimulation phase of the EGS demonstration project is presented. The model simulations were conducted in order to investigate injection strategies and the resulting effects of cold-water injection upon the EGS system; in particular to predict the extent of the stimulation zone for a given injection schedule. The actual injection began on October 6, 2011, and in this paper a comparison of pre-stimulation model predictions with micro-earthquake (MEQ) monitoring data over the first few months of a one-year injection program is presented. The results show that, by using a calibrated THM model based on historic injection and MEQ data at a nearby well, the predicted extent of the stimulation zone (defined as a zone of high MEQ density around the injection well) compares well with observed seismicity. The modeling indicates that the MEQ events are related to shear reactivation of preexisting fractures, which is triggered by the combined effects of injection-induced cooling around the injection well and small changes in steam pressure as far as half a kilometer away from the injection well. Pressure-monitoring data at adjacent wells and satellite-based ground-surface deformation data were also used to validate and further calibrate reservoir-scale hydraulic and mechanical model properties. The pressure signature monitored from the start of the injection was particularly useful for a precise back-calculation of reservoir porosity. The first few months of reservoir pressure and surface deformation data were useful for estimating the reservoir-rock permeability and elastic modulus. Finally, although the extent of the calculated stimulation zone matches the field observations over the first few months of injection, the observed surface deformations and MEQ evolution showed more heterogeneous behavior as a result of more complex geology, including minor faults and fracture zones that are important for consideration in the analysis of energy production and the long-term evolution of the EGS system.

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