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A Method for Estimation of Minimum Effective Pore Throat Radius from Routine Core Analysis Data in Chalk and its Applications

机译:粉笔及其应用中常规核心分析数据估算最小有效孔隙桡骨的方法及其应用

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A method for estimating minimum effective pore throat radius from Routine Core Analysis porosity and absolute permeability data is introduced for chalk samples. This method can reduce the need for conducting mercury capillary pressure measurement in the lab to obtain minimum effective throat radius of chalk samples and allow sample screening prior to time consuming core flood. The investigation was based on four sets of chalk porosity and permeability data from R?rdal, Stevns Klint and two North Sea wells from Dan and Tyra SE fields. For each porosity and absolute permeability data point, three new parameters are calculated from the entire data set of porosity and absolute permeability values. Using these parameters, the model estimates capillary pressures at very low mercury saturations. First, the capillary entry pressure is calculated from R?gen and Fabricius’ empirical correlation. Hereafter a line is fitted between capillary pressures and mercury saturations at very low mercury saturations including the mercury entry point. The extrapolated line crosses the capillary pressure curve at a high mercury saturation between 0.91 and 0.99, which represents a minimum affective pore throat radius. The validity of the method is verified using a set of mercury capillary pressure measurements of chalk core samples. In the following, a correlation between ultimate laboratory oil recovery achieved from a water flooding process, and an expression consists of minimum effective pore throat radius and specific surface area is presented. Our analysis shows that higher oil recovery by water flooding is related to lower minimum effective pore throat radiuses and higher average pore throat radiuses. Using this simple relationship, one can screen samples and evaluate ultimate oil recovery performance by water flooding before conducting core-flooding experiments. In addition, an empirical index is developed to estimate wettability of chalk samples from calculated Rmin, Rave and Rmax of chalk samples.
机译:引入了用于估计来自常规核心分析孔隙率和绝对渗透数据的最小有效孔隙桡骨的方法进行粉笔样品。该方法可以减少在实验室中进行汞毛细管压力测量的需求,以获得最小有效的唇孔半径,并在耗时消耗核心泛滥之前允许样品筛选。该调查基于来自R的四组粉笔孔隙度和渗透性数据,来自丹和泰拉SE领域的河北,Stevns Klint和两个北海井。对于每个孔隙率和绝对渗透性数据点,从整个孔隙度和绝对渗透率值计算三个新参数。使用这些参数,模型估计在非常低的汞饱和度下的毛细管压力。首先,毛细管进入压力由R?Gen和Fabricius的经验相关计算。以下,在非常低的汞饱和饱和饱和饱和饱和饱和饱和饱和饱和饱和饱和线之间,在此后的一条线。外推线在0.91和0.99之间的高汞饱和度下穿过毛细管压力曲线,其表示最小的情感孔淋喉半径。使用粉末核心样品的一组汞毛细管压力测量来验证该方法的有效性。在下文中,提出了从水泛水过程中实现的最终实验室溢油之间的相关性,并且表达由最小有效的孔隙喉部和比表面积组成。我们的分析表明,水淹较高的石油恢复与较低最小有效孔喉桡骨和较高的平均孔喉半径有关。使用这种简单的关系,一种可以在进行核心泛滥实验之前通过水淹没来评估屏幕样品并评估最终的溢油性能。此外,开发了经验指标以估计粉笔样品的润湿性来自计算的粉笔样品的rmin,rave和rmax。

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