核磁测井资料在致密砂岩储层产能评价中的应用

Application of NMR Log Data to Productivity Evaluation of Tight Sandstone Gas Reservoirs

成家杰

CHENG Jiajie

中海油田服务股份有限公司, 河北燕郊 065201

China Oilfield Services Limited, YanJiao Hebei 065201, China

储集岩的孔隙结构与其产能有着直接的关系，而利用核磁测井资料可以评价储层物性和孔隙结构，进而划分储层级别，对产能作出预测。针对鄂尔多斯盆地A区块致密砂岩储层，提取有效孔隙度、渗透率，以及分选系数、最大进汞饱和度、孔喉半径均值、排驱压力等孔隙结构参数创建综合评价指数，建立了以核磁测井资料为核心的储层分类标准及产能预测体系。从测试效果来看，相关层位测试产能与核磁预测产能基本一致，应用效果突出。

The pore structure of the reservoir rock is directly related to its productivity. The NMR logging data can be used to evaluate the physical properties and pore structure of the reservoir, and then to classify reservoirs and predict productivity.According to characteristics of the tight sandstone gas reservoir of Block A in Ordos basin, the effective porosity, permeability, and pore structure parameters such as separation coefficient, maximum mercury saturation, mean value of pore throat radius and displacement pressure are extracted to create a comprehensive evaluation index. The reservoir classification standard and the productivity predictionmethod are established based on NMR logging data. The NMR prediction productivity is consistent with the tested productivity, which shows that the effect of this method is obvious.

https://doi.org/10.3969/j.issn.1008-2336.2017.04.057