4.6 Article

Stochastic inversion of InSAR data to assess the probability of pressure penetration into the lower caprock at In Salah

期刊

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.ijggc.2014.05.005

关键词

Markov Chain Monte Carlo; InSAR data; CO2 sequestration; Leakage probability; Monitoring

资金

  1. In Salah Joint Industrial Partnership
  2. U.S. Department of Energy
  3. U.S. Department of Energy by Lawrence Livermore National Laboratory [DE-AC52-07NA27344]
  4. Fossil Energy Program

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We carried out stochastic inversions of InSAR data to assess the probability that pressure perturbations resulting from CO2 injection into well KB-502 at In Salah penetrated into the lower caprock seal above the reservoir. We employed inversions of synthetic data to evaluate the factors that affect the vertical resolution of overpressure distributions, and to assess the impact of various sources of uncertainty in prior constraints on inverse solutions. These include alternative pressure-driven deformation modes within reservoir and caprock, the geometry of a sub-vertical fracture zone in the caprock identified in previous studies, and imperfect estimates of the rock mechanical properties. Inversions of field data indicate that there is a high probability that a pressure perturbation during the first phase of injection extended upwards along the fracture zone 150 m above the reservoir, and less than 50% probability that it reached the Hot Shale unit at 1500 m depth. Within the uncertainty bounds considered, we conclude that it is very unlikely that the pressure perturbation approached within 150 m of the top of the lower caprock at the Hercynian Unconformity. The results are consistent with previous deterministic inversion and forward modeling studies. (C) 2014 The Authors. Published by Elsevier Ltd.

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