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Reservoir Fluid Geodynamics for Characterization of Reservoir Connectivity: Case Study from Western Kazakhstan

机译:储层储层流体流体基流动力学,用于储层连通性的特征:哈萨克斯坦西部的案例研究

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Various techniques are used in industry to determine the reservoir connectivity.The rock-based methods such as seismic mapping and well-to-well correlations present some challenges in subsalt and salt overhang deposits.While fluid based methods such as pressure gradients are traditionally used to infer the lack of connectivity and oftentimes cannot confirm the presence of it.Recent advances in asphaltene science have made it possible to clarify asphaltene distribution mechanism in reservoir allowing to address reservoir connectivity.The asphaltene distribution in the reservoir is characterized by an equation-of-state(EoS)proposed by Flory,Huggins and Zuo.The classical approach of estimating an asphaltene gradient of the reservoir fluid involves acquiring downhole samples and performing laboratory analysis.However,since the asphaltene content is associated with the coloration of hydrocarbons,a method has been proposed to delineate the asphaltene gradient at reservoir conditions by measuring the color differences of formation fluid with depth using optical fluid analyzer.Integrating the color data from optical fluid analyzer with the proposed equation-of-state,it is possible to elucidate the connectivity of the individual layers.This paper presents the results of the well logging campaign conducted in the field located in Western Kazakhstan,where new oil deposits were discovered below the salt overhang in Triassic and Permo-Triassic sandstone formations.Several exploration wells were drilled in different blocks of the field.Advanced open hole logging suite comprised of standard logging methods,nuclear magnetic resonance and wireline formation tester was run in all the wells to characterize the reservoir.The wireline formation tester toolstring included an optical fluid analyzer module,which allowed to measure optical density values of an oil at different depths in each of the wells.The study shows how the asphaltene gradient of an oil column constructed from optical density data in conjunction with geological and petrophysical data can be used to delineate reservoir attribute such as lateral connectivity.The analysis confirmed the hypothesis on the lack of reservoir connectivity between the two blocks separated by faults.The prediction of the asphaltene gradient based on the previously acquired data offers a new way to optimize wireline logging by comparing the predicted with the actual color gradient in real-time during downhole fluid analysis stations,while the tool is still in the well,to uncover the unknown source of reservoir complexity.
机译:工业中使用各种技术来确定储层连通性。岩石的方法如地震测绘和井井井的相关性存在于余下和盐悬垂沉积中的一些挑战。当传统上,诸如压力梯度的流体的方法是传统上的一些挑战推断缺乏连通性和常常不能确认it.Recent进步在沥青质科学存在使得有可能以澄清在储层沥青质分配机构允许地址贮存在贮存connectivity.The沥青质分布的特征在于等式-OF-麦卢,Huggins和Zuo提出的州(EOS)。估计储层流体沥青质梯度的经典方法涉及获取井下样品并进行实验室分析。然而,由于沥青质含量与烃的着色相关,一种方法具有碳氢化合物的着色。一种方法提出通过测量来描绘储层条件下的沥青质梯度使用光学流体分析仪与深度的形成流体的颜色差异。利用所提出的状态从光学流体分析仪聚集颜色数据,可以阐明各个层的连接。本文提出了结果的结果在位于哈萨克斯坦西部的野外进行的良好伐木运动,在三叠纪和渗透砂岩地层的盐悬崖下方发现了新的油沉积物。在田地的不同块中钻探井勘探井。开放孔测井套件在所有孔中运行核磁共振和有线形成测试仪以表征储存器。有线形成测试仪Toolstring包括光学流体分析仪模块,其允许测量每个深度的油的光密度值井。研究表明,沥青质梯度是如何由光学d构成的油柱的梯度与地质和岩石物理数据结合的确认数据可用于描绘诸如横向连通性的水库属性。分析证实了对故障分开的两个块之间的储层连通性的假设。基于先前的沥青质梯度预测所获取的数据提供了一种新的方法来通过将预测的预测与实际色梯度在井下流体分析站的实时比较,而工具仍然在井中,以发现未知的储层复杂来源。

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