Stochastic Inversion of InSAR Data to Assess the Probability of Pressure Penetration into the Lower Caprock at In Salah

Ramirez, Abelardo; Foxall, William

doi:10.1016/j.ijggc.2014.05.005

Title: Stochastic Inversion of InSAR Data to Assess the Probability of Pressure Penetration into the Lower Caprock at In Salah

Journal Article · Wed May 28 00:00:00 EDT 2014 · International Journal of Greenhouse Gas Control

DOI:https://doi.org/10.1016/j.ijggc.2014.05.005· OSTI ID:1174297

Ramirez, Abelardo ^[1]; Foxall, William ^[1]

Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Stochastic inversions of InSAR data were carried out 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. Inversions of synthetic data were employed 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, it was concluded 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.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 1174297

Report Number(s):: LLNL-JRNL-655094

Journal Information:: International Journal of Greenhouse Gas Control, Vol. 27; ISSN 1750-5836

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 12 works

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