Carbon dioxide geological sequestration is an important approach to reduce carbon emission and to mitigate global warming.An important part of CO_2sequestration is seismic monitoring,which is to monitor carbon dioxide distribution variation using the seismic method after sequestration.To achieve this goal,we need to establish the relationship between reservoir parameters and seismic properties(rock physics model),and to obtain parameters like reservoir fluid saturation through inversion of seismic monitoring data.First,based on the Biot model and multiphase model,we investigate the effects of several physical parameters (porosity,CO_2 saturation,temperature and pressure,et al.)on seismic properties such as wave velocity and attenuation of carbon dioxide and water saturated porous media to obtain the regular understanding.The results show that porosity and CO_2saturation have a huge impact on the properties of wave dispersion and attenuation,and temperature and pressure can affect the rock velocity through the properties of porous fluids.Next,based on Biot theory with multiphase flow,we apply the selfadaptive hybrid genetic algorithm,which has stronger anti-interference capacity and better ability of local search and anti-interference,to perform inversion of actual data.The inversion of core experimental data indicates the validity of the algorithm,and shows that Biot theory with multiphase flow can explain the wave velocity characters of CO_2and water saturated rock.At last,we apply the self-adaptive hybrid genetic algorithm to the seismic monitoring data of actual sequestration project,and obtain the CO_2saturation distribution at different periods after sequestration and achieved the purpose of using the seismic method to monitor carbon dioxide distribution.