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Open Access Publications from the University of California

Using distributed temperature sensing to detect CO2leakage along the injection well casing

  • Author(s): Zhang, Y
  • Jung, Y
  • Freifeld, B
  • Finsterle, S
  • et al.

© 2018 Elsevier Ltd The objective of this study is to evaluate the sensitivity of Distributed Temperature Sensing (DTS) data to detect CO2leakage along an injection well casing. This paper describes the relationship between the CO2leakage rate and temperature response at DTS locations, and the method and numerical model used for understanding such a relationship. The uncertainties in the parameters are propagated to the interpretation of DTS measurements, which may lead to false positive and false negative identifications of CO2leakage. We propose to identify CO2leakage by analyzing both temperature history plots at selected vertical locations as well as the vertical temperature profiles at different times. The analysis should be combined with numerical simulations for the estimation of leakage rates. In addition, leakage needs to be confirmed by data from a warm-up test (temperature recovery after injection of cold CO2is stopped) to minimize the probability of false identifications.

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