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Testing the efficacy of active pressure management as a tool to mitigate induced seismicity

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  • معلومة اضافية
    • بيانات النشر:
      Elsevier BV, 2020.
    • الموضوع:
      2020
    • نبذة مختصرة :
      Manipulation of subsurface stresses through fluid injection/extraction may induce seismicity through modulation of overpressure along faults. Globally, most industrial operations do not induce significant earthquakes. However, the possibility of inducing moderate to large earthquakes is recognized as a significant risk for basin-scale carbon dioxide (CO2) storage operations ( Niass et al., 2017 ). One possible method to reduce the occurrence of induced seismicity is to maintain only small (or zero) fluid overpressure changes in the subsurface through extraction of formation brine. For active pressure management (APM), operators may employ different procedures including extraction of various brine volumes and different configurations of injection/extraction well locations. However, the impact each these operational procedures on induced seismicity must be understood in order to develop management strategies. Here, we describe a numerical modeling workflow to evaluate the efficacy of APM techniques, that when applied to a specific site may be used to inform operational management strategies. We couple the multiphase reservoir model, NUFT, with the earthquake simulator, RSQSim and simulate seismicity induced by CO2 injection into a hypothetical brine saturated reservoir. Reservoir overpressure is modified by co-extraction of brine at various fractions of the injected CO2 volume from five potential wells. Our goal is to understand how the well-pair configuration and the extracted brine volume impact the total number and the maximum event magnitude. Additionally, the performance of each scenario is also evaluated in terms of the volume of CO2 that can be stored before an earthquake above a tolerance threshold is induced.
    • ISSN:
      1750-5836
    • الرقم المعرف:
      10.1016/j.ijggc.2019.102894
    • Rights:
      OPEN
    • الرقم المعرف:
      edsair.doi...........374b193fd11888294ca3fc995e472587