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Very Low Water Saturations within the Sandstones of the Northern Barmer Basin, India

机译:印度北方堡垒盆地的砂岩内的水饱和度非常低

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The Mangala, Bhagyam and Aishwariya Fields were discovered in early 2004 in the northern Barmer Basin of Rajasthan, in northwestern India. The data acquired in the field wells (including almost two kilometers of core) enabled a precise estimation of field stock tank oil initially in place (STOIIP). This paper summarizes the techniques that allowed the estimate of STOIIP to be more precisely defined and to be revised upward by 12%, a substantial increase when dealing with a billion barrel field (Mangala Field). Initial evaluation of the log data indicated a sequence of clean, quartzose sandstones with porosity greater than 25%. High porosities together with resistivity in the oil column over 5,000ohm-m, suggested that water saturations (Sw) were ~15% or even less. Based on the initial data and conventional techniques, the initial STOIIP estimates were made for the three fields. An extensive core analysis programme was begun in appraisal wells, with the objective of improved definition of the actual reservoir STOIIP's. Two appraisal wells were cored with synthetic oil based mud, and Dean-Stark Sw analyses were done. In addition to routine core analyses and the Dean-Stark Sw data, a sizeable set of other special core analyses is also available. This includes extensive capillary pressure data, laboratory NMR, and core electrical properties measurements. The petrophysical dataset verifies the existence of Sw's that are typically less than 5%PV, and often near 1%PV, in a very high-permeability and high-porosity reservoir containing little clay. The reservoir contains a medium gravity, highly paraffinic oil, and is moderately oil-wet. The various laboratory datasets challenged some of the traditional assumptions concerning the use of Archie constants in such reservoirs for Sw calculations. The upward revision of STOIIP is significant, and can be principally attributed to the more accurate estimation of reservoir fluid saturations. As this work demonstrates that very low Sw values exist in the Barmer Basin, the Mangala, Bhagyam and Aishwariya fields can provide a model for the appropriate economic evaluation of similar reservoirs. The laboratory results challenge some of the traditional thinking about the petrophysical properties of reservoirs such as these. It is indeed possible, that high quality reservoirs can have initial water saturations lower than 5% of pore volume on average, and with some zones less than 1%. Conventional log tools and analysis methods will not reveal these low levels without integration with core data and appropriately designed core analysis programmes. Also, and perhaps more importantly, this work clearly demonstrates the economic worth of extensive laboratory measurements and analyses on high- volume, high-value reservoirs such as those of the Mangala, Bhagyam and Aishwariya Fields.
机译:2004年初在拉贾斯坦邦的北方北部,在印度西北部的2004年初发现了Mangala,Bhagyam和Aishwariya领域。在现场井(包括近两公里的核心)中获得的数据使得最初就在适当位置(STOIIP)的现场储备油精确估计。本文总结了使STOIIP估计更精确定义的技术,并在处理十亿桶场(Mangala Field)时大幅增加,大幅增加。对数数据的初始评估表明了一系列清洁,石英砂岩,孔隙率大于25%。高孔隙率在5,000欧姆-M中具有油柱的电阻率,建议水饱和(SW)为约15%甚至更少。基于初始数据和传统技术,为三个领域进行了初始STOIIP估计。在评估井中开始了广泛的核心分析计划,其目的是改进了实际水库STOIIP的定义。用合成油基泥芯芯片芯的两台评估井,完成了Dean-Stark SW分析。除了常规核心分析和Dean-Stark SW数据之外,还提供了一个相当大的其他特殊核心分析。这包括广泛的毛细管压力数据,实验室NMR和核心电性能测量。岩石物理数据集在非常高渗透性和高孔隙储层中验证了SW的存在通常小于5%光伏,通常接近1%的PV。贮存器含有中等重力,高度石蜡油,并且是适度的油湿的。各种实验室数据集挑战了一些传统的假设,了解在SW计算的这种水库中使用Archie常数。 STOIIP的向上修订是显着的,并且可以主要归因于储层液体饱和的更准确估计。由于这项工作表明,在Barmer盆地中存在非常低的SW值,Mangala,Bhagyam和Aishwariya Fields可以为类似水库的适当经济评估提供模型。实验室结果挑战了一些关于这些储层的岩石物理特性的传统思考。确实可能,高质量的水库可以平均具有孔隙率5%的初始水饱和度,并且某些区域小于1%。传统的日志工具和分析方法不会透露这些低级,而无需与核心数据和适当设计的核心分析程序集成。此外,也许更重要的是,这项工作清楚地展示了广泛的实验室测量和分析的经济价值,以及麦加拉,Bhagyam和Aishwariya领域的高价值水库分析。

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