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Remaining Oil Saturation Determination in Dukhan Arab C and Arab D Reservoirs

机译:副汉阿拉伯C和阿拉伯D水库剩余的油饱和度测定

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The Dukhan Field Arab C and Arab D Jurassic reservoirs have been developed via natural depletion followed by peripheral water injection of variable salinity waters. Additionally, the Arab D crestal development has been influenced by the expansion of the primary gas cap and subsequent gas cycling project. Six wells were recently drilled, cored and logged in areas of the reservoir that had been partially swept by water with the objective to quantify the remaining oil saturation (ROS) at these locations. Data acquisition to determine the oil saturations consisted of coring and acquiring a comprehensive logging suite comprised of resistivity, induction, dipole sonic imager, sonic scanner, electric imager, nuclear-magnetic resonance, and dielectric. The coring utilized low-invasion methods, with deuterium oxide tracer, to assess the degree of invasion. The cores were analyzed for routine properties and by Dean Stark analysis for ROS. Core description was done at a thin section and macroscopic level. Wellbore salinity samples from separate flow units were obtained to characterize the water in the swept zone to assist in evaluation of the water saturation from the logs. Following collection of the data, analysis was performed to: 1. Integrate the core and log saturation data to develop most likely estimates of ROS. 2. Examine the impact of throughput using reservoir simulation models. 3. Assess remaining oil saturation by reservoir, zone, and rock type. 4. Assess the uncertainty and establish ranking criteria in ROS measurements. ROS from high-quality deep resistivity logs using true formation water salinity data provided the most likely measure of ROS at reservoir conditions. The integrated analysis resulted in a consistent set of ROS measurements grouped by zones and rock types. This dataset can be used for additional studies identifying future opportunities for improved recovery from the reservoirs.
机译:杜康领域阿拉伯C和阿拉伯D侏罗纪储层已通过天然消耗开发,随后是外周注水的可变盐度水。此外,阿拉伯D嵴发育受到初级气体帽和随后的气体循环项目的影响。最近钻出了六个井,核对并登录了水库的区域,该地区已被水部分扫过,目的是在这些位置量化剩余的油饱和度(ROS)。数据采集​​以确定油饱和型胶质和获取由电阻率,感应,偶极声成像器,声波扫描仪,电动成像器,核磁共振和电介质组成的综合测井套件。芯片利用氧化氘示踪剂的低侵入方法,以评估侵袭程度。分析了核心的常规性质和ROS的Dean STark分析。核心描述是在薄部分和宏观水平完成的。获得来自单独流动单元的井眼盐度样本,以表征扫描区中的水,以协助评估原木的水饱和度。在收集数据之后,进行分析到:1。集成核心和日志饱和数据以开发最有可能的ROS估计。 2.使用储库仿真模型来检查吞吐量的影响。 3.通过水库,区域和岩型评估剩余的油饱和度。 4.评估不确定性并在ROS测量中确定排名标准。来自高质量深度电阻率的ROS使用真正的形成水盐度数据提供了储层条件下的最有可能的ROS。综合分析,得出一组一致通过区和岩石类型分组ROS测量。该数据集可用于额外的研究,确定未来的机会,以改善水库的恢复。

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