CO2 geological storage and displacement in high-temperature reservoirs can not only exploit the oil and gas resources, but also develop the unused geothermal resources and storage CO2, further improving the utilization value of the reservoir, extending the economic life of the reservoir, and improving economic benefits. At present, in the optimization project of CO2 geological burial and displacement (CCUS) in high-temperature oil reservoirs, the traditional optimization method combines experimental methods with numerical simulation, and uses empirical methods to optimize model parameters, which is time-consuming and labor-intensive. The MOPSO algorithm has the advantages of simple process, strong robustness, high search accuracy, fast convergence, and global optimal solution. It can be used to solve the problems of high temperature reservoir CCUS engineering, such as too long calculation time, too many parameters, and imprecise model. The paper takes the Nanbu high-temperature oil reservoir as the research object, and establishes the comprehensive numerical model for CO2 storage and displacement of high-temperature oil reservoirs based on CO2 displacement mechanism, CO2 thermal recovery mechanism, and CO2 geological storage. Taking economic net present value and CO2 heat recovery as objective functions, and injection production and formation pressure as constraint conditions, the CCUS multi-objective injection and production optimization model of high-temperature reservoirs was established, and solved by MOPSO algorithm to obtain the optimal injection and production parameters of the comprehensive numerical model. The results show that the objective function value obtained by the MOPSO algorithm is much better than that of the basic model. The optimal values of economic net present value and CO2 heat recovery are 4.064 × 108 CNY and 9.163 × 1015 J respectively. Compared with the basic model, the economic net present value increases by 7.7 × 107 CNY. The heat recovery of CO2 increased by 0.493 × 1015 J. The gas injection rate and liquid production rate of the corresponding injection and production scheme are 34,697 m3/day and 2832 m3/day respectively. The multi-objective injection and production optimization model of CCUS for high-temperature oil reservoirs established in the paper achieves the multi-purpose use of CO2 and the effective economic development of high-temperature oil reservoirs. It can provide corresponding guidance for the evaluation of CCUS development technology and field applications in high-temperature oil reservoirs, and provide technical support for the standardized storage and resource utilization of CO2 in high-temperature oil reservoirs.

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Optimization of CCUS Injection and Production Parameters in High-Temperature Oil Reservoirs Based on Multi-objective Particle Swarm Optimization Algorithm

  • Zhiwei Hou,
  • Guo-dong Wang,
  • Li Shi,
  • Jun-jie Zhang,
  • Feng Ye,
  • Yong Liu,
  • Guang-yi Jiang,
  • Zhou Li,
  • Zhirui Guan

摘要

CO2 geological storage and displacement in high-temperature reservoirs can not only exploit the oil and gas resources, but also develop the unused geothermal resources and storage CO2, further improving the utilization value of the reservoir, extending the economic life of the reservoir, and improving economic benefits. At present, in the optimization project of CO2 geological burial and displacement (CCUS) in high-temperature oil reservoirs, the traditional optimization method combines experimental methods with numerical simulation, and uses empirical methods to optimize model parameters, which is time-consuming and labor-intensive. The MOPSO algorithm has the advantages of simple process, strong robustness, high search accuracy, fast convergence, and global optimal solution. It can be used to solve the problems of high temperature reservoir CCUS engineering, such as too long calculation time, too many parameters, and imprecise model. The paper takes the Nanbu high-temperature oil reservoir as the research object, and establishes the comprehensive numerical model for CO2 storage and displacement of high-temperature oil reservoirs based on CO2 displacement mechanism, CO2 thermal recovery mechanism, and CO2 geological storage. Taking economic net present value and CO2 heat recovery as objective functions, and injection production and formation pressure as constraint conditions, the CCUS multi-objective injection and production optimization model of high-temperature reservoirs was established, and solved by MOPSO algorithm to obtain the optimal injection and production parameters of the comprehensive numerical model. The results show that the objective function value obtained by the MOPSO algorithm is much better than that of the basic model. The optimal values of economic net present value and CO2 heat recovery are 4.064 × 108 CNY and 9.163 × 1015 J respectively. Compared with the basic model, the economic net present value increases by 7.7 × 107 CNY. The heat recovery of CO2 increased by 0.493 × 1015 J. The gas injection rate and liquid production rate of the corresponding injection and production scheme are 34,697 m3/day and 2832 m3/day respectively. The multi-objective injection and production optimization model of CCUS for high-temperature oil reservoirs established in the paper achieves the multi-purpose use of CO2 and the effective economic development of high-temperature oil reservoirs. It can provide corresponding guidance for the evaluation of CCUS development technology and field applications in high-temperature oil reservoirs, and provide technical support for the standardized storage and resource utilization of CO2 in high-temperature oil reservoirs.