首页> 外文会议>Society of Petroleum Engineers Nigeria Annual international Conference and Exhibition >Saturation Modelling in a Geological Complex Clastic Reservoir Using Log Derived Saturation Height Function: A Case Study of the E2 Reservoir, Era Eko Field in the Niger Delta
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Saturation Modelling in a Geological Complex Clastic Reservoir Using Log Derived Saturation Height Function: A Case Study of the E2 Reservoir, Era Eko Field in the Niger Delta

机译:利用日志衍生饱和度函数在地质复杂碎屑储层中的饱和度建模:尼日尔三角洲E2水库的案例研究

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The conventional and globally accepted method of saturation modelling is using capillary pressure curve (cap-curve) data from special core analysis (SCAL). The functions describe the drainage process during hydrocarbon migration and are expressed as a relationship between saturation, the height above the Free-Water-Level (established from a wireline pressure analysis) and a model property (commonly porosity and permeability). The functions are established by first fitting some mathematical function to the cap-curve data (smoothing) and then establishing trends between the function parameters ( capillary entry, saturation end point and some shape factor) and the model property, resulting in an averaging of the capillary pressure curves (which have been converted from pressure to height) or log derived saturations. Common curve-fitting or smoothing techniques are the Brooks-Corey, Thomeer, Lambda and Heseldin techniques. This method allows better understanding of the saturation distribution in a reservoir, given that water saturation is distributed in geologic models using a saturation height function (SHF) that relates rock properties (porosity and permeability) and height above free water level (HAFWL). SHF based on cap-curves are used by reservoir engineers to initialise water saturation in dynamic models and depending on the heterogeneity of the reservoir, different SHF are generated to accommodate different rock property classes. However, where there is no core data or no SCAL measurements, SHF can also be derived from available log data.
机译:常规和全球饱和模型方法使用特殊核心分析(SCAL)使用毛细管压力曲线(帽曲线)数据。该功能描述了烃迁移期间的排水过程,并且表示为饱和度之间的关系,从自由水分(从有线压力分析建立)和模型性质(通常是孔隙率和渗透率)之间的关系。通过首先将一些数学函数拟合到帽曲线数据(平滑),然后在功能参数(毛细管条目,饱和终点和某种形状因子)和模型属性之间建立趋势来建立功能,从而导致平均毛细管压力曲线(已从压力转换为高度)或原木衍生饱和。常见的曲线拟合或平滑技术是Brooks-Corey,Thomeer,Lambda和Heleldin技术。该方法允许更好地理解储层中的饱和分布,鉴于使用饱和高度函数(SHF)在地质模型中分配了水饱和度(SHF),所述饱和度函数(SHF)与游离水位(HAFWL)相关的岩石性质(孔隙率和渗透率)和高度。基于帽曲线的SHF由储层工程师使用,以初始化动态模型中的水饱和度,并根据水库的异质性,产生不同的SHF以适应不同的岩石属性等级。但是,在没有核心数据或没有SCAS测量的情况下,SHF也可以从可用的日志数据派生。

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