利用试井数据约束的随机地质建模方法

传统的随机模拟方法建立的地质模型由于很少考虑动态资料而不能反映压力、产量等动态特征。为此，在前人研究的基础上，提出一种利用试井动态资料约束的随机地质建模方法，即由传统的随机模拟方法建立初始模型；再利用试井资料，采用模拟退火算法优化、修正初始模型，使之与试井测试结果相匹配。在修正地质模型中，采用解析解和数值解相结合的方法计算井底压力，可节约90%以上的计算时间。实例表明，修正后的模型符合试井测试（动态）资料，提高了地质模型的精度。

Stochastic geological modeling constrained by well test data

Production performance data have seldom been involved in stochastic simulation; thus,it is difficult to describe such production performance as pressure and yield using the geologic model.We present a method for well test data constrained stochastic modeling.The initial model,which is built through stochastic simulation,is updated using simulated annealing algorithm until the model matches well test data.In this process,bottom hole pressure is calculated using analytic solution combined with numerical solution; this may save more than 90% of computation time.A case study shows that the final model has been improved and matches well test data.