9:00 AM - 9:15 AM
[HSC05-01] Multi-objective optimization using genetic algorithm for CO2 geological storage
Keywords: Multi-objective optimization, NSGA-2, well placement, Reservoir simulation, TOUGH2, CO2 geological storage
We formulated the MOO problem as to find the optimal well placement for simultaneously minimizing the mass fraction of movable CO2 and the bottom hole pressure under the condition of fixed injection rates. Obtained Pareto solutions were compared with the exact Pareto solutions which were found in advance by the exhaustive simulations. Most of the obtained Pareto solutions were found consistent with the exact Pareto solutions; and thus, it was shown that NSGA-2 properly found possible solutions to the optimization problem in CO2 geological storage. In addition, multiple optimized well placements exhibited two main clusters, and the decision makers can select a final scenario based on these optimal alternatives. The study concludes that NSGA-2 is effective for the optimization of well placement in CO2 geological storage.