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Geostatistical Modeling of Spatial Distribution of Porosity in the Asmari Reservoir of Mansuri Oil Field in Iran

机译:伊朗曼苏里油田阿斯马里油藏孔隙度空间分布的地统计学模型

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摘要

Petrophysical information of reservoir is always the main source of data to characterize the reservoir performance. As the data are restricted to drilled wells in reservoir, the only way to determine desired values away from the wells are statistical and simulation methods. One of the methods is geostatistical technique. The principles of this technique are to apply existing data, find the patterns of spatial variations and use this knowledge to derive over the whole field the best estimates. In this study porosity data of 53 wells of Mansuri oilfield in Asmari reservoir was used. Geostatistical methods (ordinary kriging) used to determine the spatial distribution of porosity and error estimation. Finally, four realizations of Porosity distribution are generated using sequential Gaussian simulation. Porosity distribution of the studied field has a higher continuity in NW-SE direction but its value decreases toward the NW and SE.
机译:储层的岩石物理信息始终是表征储层性能的主要数据来源。由于数据仅限于储层中的钻井,因此从井中确定期望值的唯一方法是统计和模拟方法。方法之一是地统计技术。该技术的原理是应用现有数据,找到空间变化的模式,并使用此知识在整个领域中得出最佳估计。在这项研究中,使用了阿斯马里水库的曼苏里油田53口井的孔隙度数据。地统计学方法(普通克里金法)用于确定孔隙度的空间分布和误差估计。最后,使用顺序高斯模拟生成了四个孔隙度分布的实现。研究区域的孔隙度分布在西北-东南方向具有较高的连续性,但其值朝西北和东南方向减小。

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