注CO2提高天然气采收率协同碳封存智能优化OA

CO2 enhanced gas recovery(CO2-EGR)can achieve the dual goals of enhanced gas recovery and carbon storage by injecting CO2 to restore reservoir pressure,exhibiting promising application prospects.However,the influences of injection and production parameters and geological conditions on the overall effectiveness of synergistic CO2-EGR and carbon storage remain insufficiently investigated.Moreover,there is no method for optimizing synergistic CO2-EGR and carbon storage under the complex conditions with multiple influential factors.Taking the IIIU gas formation in the Dongfang 1-1 Gas Field as an example,this paper establishes a CO2-EGR numerical model to systematically evaluate the gas reservoir production performance under depletion and CO2 flooding modes,and to analyze the effects of injection,production and reservoir parameters on gas recovery and CO2 storage volume and rate.On this basis,the Transformer deep learning model is integrated with the particle swarm optimization to optimize the design of injection and production parameters.The following results are obtained.First,among all injection and production parameters,CO2 injection rate exhibits the most pronounced regulation effect.Under a fixed total injection volume,there is a trade-off relationship between gas recovery and CO2 storage.Second,permeability is the most influential reservoir parameter,and the formation fracture pressure indirectly controls both recovery enhancement and CO2 storage by constraining the attainable injection rate.Third,the Transformer-based proxy model for CO2-EGR numerical simulation can accurately predict gas recovery and CO2 storage under various geological,injection and production conditions.Fourth,the intelligent optimization method,which integrates the weighted sum method with the particle swarm optimization,facilitates the preparation of the optimal injection and production plan,and significantly improves the effectiveness of synergistic CO2-EGR and carbon storage.In conclusion,the effectiveness of synergistic CO2-EGR and carbon storage is jointly controlled by injection-production schemes and reservoir conditions,and the proposed intelligent optimization method enables rapid selection of injection and production parameters under different target preferences,providing technical support for the synergistic development of enhanced gas recovery and CO2 storage.