摘要
致密砂岩储层常规测井的响应受到诸多因素的影响,给定量评价储层的渗透率带来一定的误差。结合压汞和核磁共振测井资料能够更加快速准确地评价致密砂岩储层渗透性。提出了基于压汞和核磁共振测井资料结合计算储层渗透率的方法。对比38块同时进行了压汞和核磁共振测井实验的岩心样品,构建伪毛细管压力曲线,求取表征孔隙结构定量参数。结合地区经验,优选参数,构建能表征渗透率的δ函数,给出定量计算渗透率的模型,其模型表达式精度高。通过对××井实际数据的处理,计算得到的渗透率与岩心分析的空气渗透率有很好的一致性,平均绝对误差为0.075×10-3μm2。
Conventional log is affected by many factors so it brings errors in calculating reservoir permeability. Analysis showed that the combination of capillary pressure and NMR logging data can more quickly and accurately evaluate permeability. Based on the fact that NMR T2 distribution and capillary pressure curves reflect the reservoir pore structures, a new method is presented to calculate reservoir permeability using capillary pressure and NMR data. Comparing with 38 core samples which were measured by mercury penetration and NMR logging, pseudo- curves of capillary pressure are established to calculate quantitative parameters reflecting pore structures. We establish δ function reflecting reservoir permeability and give the model to quantitatively calculate reservoir permeability combing with regional experience and optimizing parameters. Its calculation accuracy is high. The processing results of the data in well ×× show that permeability calculated is closer to the result of core analysis. The average absolute error is 0.075×10^-3 μm2.
出处
《测井技术》
CAS
CSCD
北大核心
2014年第2期185-189,共5页
Well Logging Technology
关键词
核磁共振测井
致密砂岩
特征参数
毛细管压力曲线
孔隙结构
渗透率
NMR log
tight sandstone reservoir
characteristic parameter
capillary pressure curve
pore structure
permeability
