基于核磁共振孔隙结构的产能评价

Reservoir productivity evaluation based on NMR pore structure

分析A凹陷下第三系毛管压力曲线特征,结合核磁、试油、压裂资料,筛选出有效孔隙度、绝对渗透率、排驱压力、孔隙喉道均值、分选系数、最大进汞饱和度6个储层分类关键评价参数.由该6种关键参数构建一条储层分类综合评价指数曲线,对A凹陷下第三系储层进行系统地分类,共试油95层,储层产能评价准确率为88.42%.该方法弥补了利用常规测井和岩心毛管压力曲线进行储层分类的不足,提高了储层分类精度.

Based on the analysis of capillary pressure curves of Paleogene in A Sag,integrated with NMR,testing oil and fracturing data,effective porosity,absolute permeability,displacement pressure,pore throat mean,sorting coefficient and the maximum saturation of mercury are selected as the key parameters for the classification of reservoir.Based on 6 key parameters,a comprehensive reservoir classification index curve is constructed to classify Paleogene reservoirs of A Sag.The accuracy of evaluating reservoir productivity is 88.42% according to 95 oil test results.This reservoir evaluation method overcomes the shortcomings of the reservoir classification method based on conventional logging and capillary pressure curve of cores and improves the accuracy of reservoir classification.