遗传算法在C_(7+)临界性质估算中的应用

研究烃类体系的相态特征对凝析气田的开发和开采有着重要的意义.应用组分模型对凝析气藏进行模拟时,大量的时间耗费在相态的计算上.在烃类体系中C7+以上的重组分对流体性质的影响最大,因此必须对组成烃类体系重组分的临界性质进行估算.应用遗传算法确定C7+组分的临界性质,并利用PR状态方程进行相平衡计算.对应用遗传算法预测的结果、室内定容衰竭实验结果和应用Eclipse软件计算的结果进行了对比,结果表明,文中提出的方法所得到的结果和室内实验结果符合程度更高.

Application of genetic algorithm to estimating C7+ critical properties

The research on the phase behavior of the condensate system is very important for the gas condensation reservoir development and production. A great deal of effort is made in phase calculating in condensation reservoir simulating using compositional model. Since the heavy components in petroleum mixtures have the strongest effect on the characteristics of the fluids, critical properties must be estimated for C7+ fraction. For estimating C7+ critical properties rapidly and accuracy, this paper proposes advanced genetic algorithm for estimating C7+ critical properties. A phase equilibrium calculation of gas condensate system with Peng-Robinson equation of state has been made. The calculated results are compared with lab experiment results and results calculated using Eclipse software. It shows that the results calculated using GA and lab experiment are fit better.