CARBON MANAGEMENT (CO2 SEQUESTRATION)

One of the most domineering environmental issues is the increase in atmospheric carbon dioxide (CO2) concentration ensuing from anthropogenic sources. Sequestration in geological formations is one of the proposed solutions for removing greenhouse emissions from the atmosphere. Since aquifers are considered to be most widely available, there is high potential to find a suitable aquifer with large capacity or close to CO2 source. The structure and the interconnection of the pores provide flow of gases or fluids through the bed and all these factors make aquifers the second largest, naturally occurring potential store for CO2. Numerical reservoir simulators are conventionally used to build models of the CO2 Sequestration process. The sequestration project deals with a wide range of uncertainties. Any comprehensive study or uncertainty analysis of the representative numerical reservoir models would be tedious and time consuming requiring high computational costs. Therefore, comprehensive analysis of such models is quite impractical. This work presents a new artificial intelligence base technique known as Surrogate Reservoir Model (SRM) that can mimic the behavior of the commercial reservoir model with high accuracy in fractions of a second. Application of SRM to Mattoon field, located in the eastern three quarters of section 8 of Mattoon Township, Coles County, IL, is presented in this article