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Monitoring of CO2 Plume Migration in Deep Saline Formations with Kinetic Interface Sensitive Tracers (A Numerical Modelling Study for the Laboratory)

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Book cover Geologic Carbon Sequestration

Abstract

Monitoring CO2 plume migration in deep saline aquifers is essential for improving the design and operation of the storage. Therefore, the development of new efficient monitoring techniques is an on-going area of research. Tracer techniques have been extensively used to study the movement of gas and liquids in porous media systems. Their main advantage is that they can provide direct information about the hydraulic, transport and reactive processes and parameters of the reservoir. Kinetic interface sensitive (KIS) tracers represent a novel class of reactive tracers for quantifying the interfacial area between CO2 and brine and its development with time. The theoretical development of KIS tracers is described, including the conceptual and mathematical models. Through numerical modelling, a sensitivity analysis with regard to the key flow and transport parameters of CO2 storage reservoir is performed.

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Acknowledgments

This research has received funding from the European Community’s 7th Framework Programme through the MUSTANG (grant agreement no. 227286) and TRUST (grant agreement no. 309067) projects.

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Authors and Affiliations

  1. Department of Applied Geology, Geoscience Center of the University of Göttingen, Goldschmidtstr. 3, 37077, Göttingen, Germany

    Alexandru Bogdan Tatomir, Apoorv Jyoti & Martin Sauter

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  1. Alexandru Bogdan Tatomir
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  2. Apoorv Jyoti
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  3. Martin Sauter
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Correspondence to Alexandru Bogdan Tatomir .

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Editors and Affiliations

  1. Department of Earth Sciences, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India

    V. Vishal

  2. Department of Earth Sciences, Indian Institute of Technology Bombay, Mumbai, India

    T.N. Singh

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Tatomir, A.B., Jyoti, A., Sauter, M. (2016). Monitoring of CO2 Plume Migration in Deep Saline Formations with Kinetic Interface Sensitive Tracers (A Numerical Modelling Study for the Laboratory) . In: Vishal, V., Singh, T. (eds) Geologic Carbon Sequestration. Springer, Cham. https://doi.org/10.1007/978-3-319-27019-7_4

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