遗传模拟退火算法在阿尔奇公式参数估计中的应用

Application of genetic simulated annealing algorithmin
parameter estimation of Archie equation

文浩

Wen Hao

长江大学教育部油气资源与勘探技术重点实验室，湖北 荆州 434023

MOE Key Laboratory of Hydrocarbon Resources and Exploration Technology,Yangtze University, Jingzhou 434023, China

阿尔奇含水饱和度公式中a、m、n等参数的选取直接影响测井解释的结果。文中采用遗传模拟退火算法对阿尔奇公式中的a、m、n参数进行估计，并通过油田现场应用实例对测井数据进行了模拟计算。通过与岩心分析饱和度对比，二者拟合较好，说明遗传模拟退火算法在测井参数估计上可靠性强，极具潜力。

Some parameters are estimated by the Archie equation for water saturation through using the genetic simulated annealing
algorithm based on the fundamental contents of the Archie equation in this paper. The well logging interpretation is particularly
analyzed by the defining parameters of the Archie equation. The simulation computation is performed in terms of the logging data
and a field example is given. The application results show that the genetic simulated annealing algorithm possess a good reliability
in the estimation of logging parameters through the saturtion correlation of core analysis and that both are well matched. The method
has an extremely good application prospec