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An Innovative Workflow for the Petrophysical Characterization of Tight Gas Reservoirs in Argentina

机译:阿根廷岩石储层岩石物理特征的创新工作流程

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The formation evaluation of low-porosity tight gas reservoirs in Argentina presents several well-known challenges in the estimation of main petrophysical properties as porosity, clay fraction, permeability, and water saturation. The main goal is to accurately quantify these petrophysical properties with a consistent and reliable petrophysical model. The next task is to reveal the key petrophysical responses that represent the link between petrophysics and production. The present work describes the main petrophysical challenges faced and an innovative workflow used in the Lindero Atravesado field with clear examples to illustrate the effectiveness of this approach. The workflow involves measurements such as advanced elemental gamma ray spectroscopy, multifrequency dielectric dispersion, and nuclear magnetic resonance (NMR). The advanced elemental gamma ray spectroscopy has been key for the creation of a robust mineralogical model, and to derive the matrix properties used to obtain an accurate porosity free of matrix and gas effects with the combination of NMR porosity. The dielectric dispersion provides a direct estimation of water volume, which, in turn, helps to adjust the conventional method of water saturation from resistivity. The good correlation between the petrophysical properties estimated from the proposed workflow and the core analysis, demonstrates the benefits of using the advanced log measurements. The final step of the workflow consists in the definition of poro-fluid facies determined with a new methodology, called NMR factor analysis, that is based on the extraction of multimodal information from the NMR T2 distribution to determine the optimal number of dominant modes (factors) that allow describing the reservoir. Production logging results showed a good relationship between the poro-fluid facies and reservoir productivity.
机译:阿根廷低孔隙率紧的气体储层的形成评价在孔隙率,粘土馏分,渗透性和水饱和度估计主要岩石物理特性中存在几种众所周知的挑战。主要目标是用一致且可靠的岩石物理模型准确地量化这些岩石物理性质。下一个任务是揭示代表岩石物理学和生产之间联系的关键岩石物理反应。目前的工作描述了在Lindero atravesado领域中使用的主要岩石物理挑战以及用于levesado领域的创新工作流,以说明这种方法的有效性。工作流程涉及测量,例如先进的元素伽马射线光谱,多频介电分散和核磁共振(NMR)。先进的元素γ射线光谱是创建稳健的矿物学模型的关键,并导出用于获得无基质和气体效应的准确孔隙的基质特性,并通过NMR孔隙率的组合。介电分散体提供了水量的直接估计,反过来有助于从电阻率调节常规的水饱和方法。从所提出的工作流程和核心分析估计的岩石物理特性之间的良好相关性展示了使用高级日志测量的益处。工作流程的最后一步包括用新方法确定的孔流体相的定义,称为NMR因子分析,这是基于来自NMR T2分布的多模式信息的提取,以确定最佳数量的主要模式(因子) )允许描述水库。生产测井结果显示了孔流体相和储层生产率之间的良好关系。

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