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Application of New Techniques for Characterization of an Eocene Carbonate Reservoir in the Gulf of Suez, Egypt

机译:新技术在埃及苏伊士湾省碳酸盐水库表征的应用

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A variety of recently developed techniques are available to improve carbonate rock characterization. This paper reviews the application of these techniques on an Eocene carbonate reservoir from the Gulf of Suez. Spectroscopy data was a main driver of the formation evaluation. It allowed an accurate determination of clay, pyrite and siderite with a good match to core data, while the photoelectric factor could not be used because of high barite content in the mud. Magnesium from spectroscopy indicated small amounts of dolomite were present. Since rock texture has a strong impact on porosity and permeability in carbonates, texture-sensitive tools must be included in the evaluation. Based on nuclear magnetic resonance (NMR) data, porosity partitioning analysis showed that the porosity is dominated by micro and meso pore sizes. While the default correlations used for NMR in carbonates considerably overestimate permeability, a modified SDR equation was applied to predict permeability more accurately, providing a good match to core data. Hydrocarbon properties have been found to vary vertically. NMR fluid identification stations were used to characterize the variation, which was validated by the drillstem test (DST) results. Tar was identified based on the comparison of total porosity and NMR porosity. This is an important parameter as tar can affect the reservoir producibility. Fracture analysis was performed on a data set of microresistivity image and sonic Stoneley data. The analysis performed on the Oil-Base MicroImager (OBMI) identified the orientation of the fracture system. The Stoneley wave processing determined that the majority of the fractures encountered in the reservoir were healed. This conclusion was supported by the core analysis results. The work presented in this paper demonstrates how integrating the measurements from various tools and sources provides a good understanding of reservoir producibility in carbonates. The integrated evaluation was validated with core and well test results.
机译:各种最近开发的技术可用于改善碳酸盐岩石表征。本文综述了这些技术在苏伊斯湾的省碳酸盐储层中的应用。光谱数据是地层评估的主要驱动因素。它允许准确测定粘土,黄铁矿和散差,核心数据良好匹配,因为泥浆中的高分子含量不能使用光电因子。来自光谱的镁表明存在少量白云石。由于岩石纹理对碳酸盐的孔隙率和渗透性产生了强烈影响,因此必须将纹理敏感的工具包含在评估中。基于核磁共振(NMR)数据,孔隙率分区分析表明,孔隙率由微观和中孔孔径占主导地位。虽然用于NMR在碳酸酯中的默认相关性显着高估渗透性,但是应用修改的SDR方程以更准确地预测渗透率,提供良好的核心数据。已发现烃特性垂直变化。 NMR流体识别站用于表征变化,通过钻机测试(DST)结果验证。基于总孔隙率和NMR孔隙率的比较鉴定了焦油。这是焦油可能影响水库生产性的重要参数。在微侦测图像和声波斯隆数据集的数据集上进行裂缝分析。对油基微爱(OBMI)进行的分析确定了骨折系统的取向。 Stoneley波浪处理确定储层中遇到的大部分骨折愈合。核心分析结果支持这一结论。本文提出的工作展示了如何整合各种工具和来源的测量值对碳酸盐的储层生产性提供了良好的理解。综合评估以核心和良好的测试结果验证。

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