遗传算法在测井识别凝析气藏中的应用

利用遗传算法的全局寻优特点,将遗传算法引入测井最优化处理中;利用地层组份模型建立拟合函数,通过遗传算法对拟合函数实现了最优化处理,分别计算出地层条件下凝析油和凝析气的含量,在此基础上计算出地面气油比,从而达到识别凝析气藏的目的.现场应用处理了6口井的实际资料,给出了1口井的应用实例,证明了利用该方法能够较为准确地识别凝析气藏.

The Application of Genetic Algorithm to Log Identification of Condensate Gas Reservoir

In this paper, genetic algorithm has been introduced into optimization of data log processing due to global optimization in genetic algorithm. First, an objective function has been established by using model of formation components model. Then, the target function is dealt with optimally through genetic algorithm to obtain the content of condensate oil and condensate gas separately under the underground condition. On basis of these contents the gas-oil ratio on surface can be calculated, so the reservoir type is easily identified with the results. Actual log data from 6 wells have been processed and log application in 1 well is given. The processed and applied results proved the algorithm may correctly identify the condensate gas reservoir.