ABSTRACT

This chapter proposes developing an in situ Carbon dioxide (CO2) monitoring and verification technology based on the implementation of permanent down-hole gauges (PDG) or "smart wells" along with artificial intelligence and data mining (AI&DM). The technology attempts to identify the characteristic of the CO2 leakage by de-convolving the pressure signals collected at the smart well sites. Since creating an actual leak in an existing CO2 storage site is not a viable option for testing this technology, the demonstration of this technology's predictive capabilities is performed through numerical simulation and modeling of an actual CO2 storage site in the Citronelle field. The chapter explains the development of the next generation of intelligent techniques that take maximum advantage of data collected using "smart field" technology to continuously and autonomously monitor and verify CO2 storage in geological formations. This technology will provide the means for in situ detection and quantification of CO2 leakage in the reservoir.