循环热流体开采稠油优化设计方法研究

A Study of Recovering Heavy-Oil Reservoir with Hot Fluids

为通过对热流体参数的优化设计,减少井筒热流体循环时的能量消耗,提高生产能力和经济效益,首先采用迭代法求解了井筒热流体循环时具有半隐式边界条件的井筒温度分布数学模型的数值解,在此基础上,以能耗最低为目标,以井筒温度不低于拐点温度为约束,建立了井筒循环热流体时的优化目标函数。由于用迭代法求解井筒温度分布时间长,导致进行热流体参数优化设计的时间更长,为此,采用带约束的遗传算法对循环热流体的参数进行优化设计。计算结果表明,循环热流体参数优化后,能耗降低明显,经济效益增加显著;并且由于遗传算法的引入,使得热流体参数优化设计的时间大大缩短。

For the purpose of decreasing energy consumption, increasing the economic benefit and cutting down the time of calculation, researches on parameter optimization of the technique is presented in the paper. Firstly, numerical calculation employing iterative method is conducted to solve the mathematical model of circulating wellbore temperature field with half-consealed boundary. Based on the numerical solution, a parameter optimization model for above intention has been developed subject to the minimum energy consumption and wellbore temperature being not less than inflection temperature. Numerical calculation is time consuming, which allows a much longer time of parameter optimizing, Therefore, a genetic algorithm with restrictions is used to solve the problem. The computation results show that the energy consumption of the circulating hot flu id has been decreased remarkably and the economic benefits has been increased obviously, also, the calculation time has been shortened.