有井筒存储和表皮效应的脉冲试井优化分析方法

OPTIMIZING AND ANALYZING METHOD OF THE PULSE TESTING WITH WELLBORE STORAGE AND SKIN EFFECTS

脉冲试井参数解释常用切线法、割线法、图版拟合法及参数匹配等方法，过程均是运用生产数据中的一些特殊点进行图版解释，存在数据利用率低、解释速度慢、拟合精度低等缺点。建立了有井筒存储和表皮效应的脉冲试井优化解释模型，结合非线性回归技术，提出有界信赖域优化分析方法求解模型中储能系数、流动系数、表皮因子、井筒存储系数等6项参数。拟合某油藏生产数据，得到拟合值的最大相对误差为6．49％，平均误差为2．98％。有界信赖域优化分析方法具有超线性拟合速度、自动拟合、不受人为因素影响等特点，在解决多参数识别问题时，效果更佳。

The parameters of pulse testing is commonly interpreted by the following methods： tangent method, se- cant method, plate fitting, parameter matching methods and so on. All the processes rely on the chart-board inter- pretations With the help of some characterized volumes in the production data, there are the following disadvanta- ges ： low utilization of data, slow rate of the pulse testing with wellhole storage and skin effects is established and furthermore integrating with nonlinear regression technique, the optimized and analyzing method with bounded con- fidence/trust region is presented, then the 6 parameters including the storage coefficient, flow coefficient, skin factor, wellbore storage coefficient and so on can be solved in the model. The production data of an oil reservoir are matched, the maximum error of the obtained matched volume is 6.49%, the average error is 2. 98%. The op- timized method is characterized by super-linear fitting speed, automatic fitting and beyond the influence of human factors, so when solving the problems of multiple parameter recognition, the results are much better.