CAJ | 학술논문

针对蒸汽驱注采方案优化问题，以累积油汽比为优化目标，建立了以注汽速率、蒸汽干度和注汽压力等为约束条件的蒸汽驱注采方案优化数学模型，采用改进粒子群算法对该模型进行了求解，并优化了蒸汽驱的主要注采参数。改进粒子群算法以进化停滞步数为依据，对个体历史最优值和邻域内粒子的最优值实施随机扰动，并且只接受使个体适应度增加的随机扰动操作，使记忆中的最优粒子跳出局部最优解，保证了种群的多样性，提高了算法的精度和稳定性。实例计算证明，该优化模型计算结果准确，优化算法有效。通过该优化方法可快捷准确地进行蒸汽驱动态优化和方案调整，以便于指导蒸汽驱高效运行。
침대증기구주채방안우화문제，이루적유기비위우화목표，건립료이주기속솔、증기간도화주기압력등위약속조건적증기구주채방안우화수학모형，채용개진입자군산법대해모형진행료구해，병우화료증기구적주요주채삼수。개진입자군산법이진화정체보수위의거，대개체역사최우치화린역내입자적최우치실시수궤우동，병차지접수사개체괄응도증가적수궤우동조작，사기억중적최우입자도출국부최우해，보증료충군적다양성，제고료산법적정도화은정성。실례계산증명，해우화모형계산결과준학，우화산법유효。통과해우화방법가쾌첩준학지진행증기구동태우화화방안조정，이편우지도증기구고효운행。
A mathematic model for injection and production optimization of steam flooding project was established by taking cumulativeoil steam ratio as the optimization objective,and steam injection rate,steam quality,and steam injection pressure as the constraintconditions.An improved particle swarm optimization algorithm was used to solve the proposed model and to optimize the major injec-tion and production parameters of steam flooding.The optimal values of individual history and neighborhood particles were disturbedrandomly using the optimization algorithm according to the evolutionary stagnation steps;only the operation of random disturbancewith increased individual fitness was retained so that local optimal solution could jump out with the optimal particle in the memory,thereby ensuring the population diversity and improving the algorithm’s precision and stability.The optimization model was provenaccurate and the optimization algorithm was validated in a case study.The proposed methodology enabled real-time and accurate dy-namic optimization and project adjustment of steam flooding,ultimately contributing to its efficient operation.