Simulation of Petrophysical Parameters of Asmari Reservoir Using SGS Method in Mansuri Oil Field, Southwest of Iran

Porosity and water saturations are the most important petrophysical parameters of hydrocarbon reservoirs that accurate assessment of them in hydrocarbon reservoirs is an effective tool, important and efficient for industry experts, in the context of a comprehensive study of reservoirs and production and management process of reservoir. In this study, using data from five wells of Mansuri oil field, and using the sequential simulation Gaussian method and using Petrel software, the trend of Porosity and water saturation changes in the mentioned field for four zones was simulated. Also the average maps for each zone have been created that results of the simulation parameters in this map showed that highest average porosity is 0.1401 and 0.2756 at least saturation of water is related to zone 1. Finally result of the simulation indicates the Zone 1 is of the best reservoir Zones.

伊朗扎格罗斯地区Mansuri油田储集层物性模拟

以伊朗Mansuri油田50口井的常规测井资料为基础,优选人工智能算法,对Mansuri油田白垩系Ilam组4个层的孔隙度和渗透率分布进行模拟。首先利用5口有岩心物性分析资料的井,遴选出常规测井的声波时差、密度和中子孔隙度作为输入参数,采用反向传播人工神经网络(BP神经网络)和支持向量回归方法进行储集层孔隙度和渗透率计算,根据计算结果与岩心实测结果的相关性,选择采用BP神经网络法进行物性计算。然后,利用克里金地质统计算法,对Mansuri油田Ilam组4个层的孔隙度和渗透率分布进行模拟,结果表明,层2.1和层2.2为高孔隙度层,层1、层2.1和和层2.2高渗透层,层3为非储集层;储集层孔隙度和渗透率分布总体呈北部高、南部低的特点。