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Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data

机译:根据注汞毛细管压力和核磁共振数据估算致密砂岩渗透率

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摘要

There are several methods to estimate permeability from pore throat sizes and NMR T2 relaxation time. Although most of the methods are well-established and work well for conventional reservoirs they fail to estimate permeability for tight gas sands. The aim of this study was to establish relationships between permeability and pore throat sizes, derived from mercury injection analysis, and NMR T2 relaxation time. Regression analysis was used to achieve a set of relationships between dry gas permeability, porosity and pore throat sizes for 50 tight gas sand samples. Unlike for normal sandstone, pore throat radii corresponding to a mercury saturation of 10% (r_(10)) is the best permeability predictor for tight gas sands. For tight gas sands, NMR T2 relaxation spectra fall on the shorter values corresponding to the smaller pores. This is because pore spaces are significantly reduced both in size and volume due to extensive compaction and cementation. This study shows that using NMR T_(2peak) and multi-regression analysis, permeability can be estimated with high accuracy even in rocks with substantially constricted pore throats.
机译:有几种方法可以从孔喉尺寸和NMR T2弛豫时间估算渗透率。尽管大多数方法都已经建立并且可以在常规油藏中很好地工作,但是它们无法估计致密气砂的渗透率。这项研究的目的是建立渗透性和孔喉尺寸之间的关系,该关系源于汞注入分析和NMR T2弛豫时间。回归分析用于获得50个致密气砂样品的干气渗透率,孔隙度和孔喉尺寸之间的一组关系。与普通砂岩不同,对应于汞饱和度为10%(r_(10))的孔喉半径是致密气砂的最佳渗透率预测指标。对于致密气砂,NMR T2弛豫谱落在对应于较小孔隙的较短值上。这是因为由于广泛的压实和胶结作用,孔隙的大小和体积都大大减小了。这项研究表明,使用NMR T_(2peak)和多元回归分析,即使在孔喉明显狭窄的岩石中,渗透率也可以得到高精度估计。

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