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Reservoir Evaluation Completion Optimization in Heavy Oil Sands with Dielectric Diffusion Measurements

机译:电介质和扩散测量重油砂中的储层评价与完工优化

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Major heavy oil accumulations are found in the tertiary sandstones of the Lagunillas Formation of the Costanero Bolivar Field, located in Lake Maracaibo, Venezuela. The hydrocarbons are found in poorly consolidated shaly-deltaic sands, at depths of around 1200 ft to 2350 ft. The oil ranges from 10 to 18 degrees API, with viscosities ranging from 400 cP to 10000 cP. The formation water salinity is below 5000 ppm and variable within the reservoir, after years of injection of fresh water and steam to increase recovery. Consequently there is today no correlation between water cut and resistivity and the differenciation between oil and water with conventional petrophysical techniques is inaccurate. Conventional log analysis has limited potential since the resistivity shows identical values in both oil and water bearing levels. Deciding on a completion strategy from an inaccurate saturation computation is a major challenge. Additionally, the free water presence reduces the net pay and rapidly increases the probability of water production in this high oil viscosity environment. Therefore an accurate assessment of free water and oil viscosity is a critical factor in the economics of the field. The present work incorporates dielectric and molecular diffusion measurements, showing significant progress in detecting free water from oil and defining the most prospective intervals. Movable oil and fresh water are clearly identified using dielectric polarization at multiple frequencies. The dielectric measurement provides the water-filled porosity, while the magnetic resonance identifies the irreducible versus free water within that volume. This allows predicting the likelihood of producing hydrocarbon or water in areas with high oil saturation. In conclusion, the integration of dielectric polarization and diffusion information at multiple depths into the reservoir enable to distinguish oil from free and bound water and to estimate the oil viscosity, a result impossible to obtain with conventional logs in these environments. This integrated methodology allows accurate reservoir characterization and definition of the production potential of these heavy oil sands, leading to improved completion decisions. The development campaign in Lagunillas sands now has a new workable technique to reduce uncertainties and to optimize heavy oil production.
机译:在委内瑞拉湖的Costanero玻利维尔领域的Lagunillas的三级砂岩中发现了主要的重油累积,位于Maracaibo湖,委内瑞拉。碳氢化合物在良好的良好的Shary-Deltaic Sands中发现,深度约为1200英尺至2350英尺。油范围为10至18度API,粘度范围为400cp至10000cp。水库内的地层水盐度低于5000ppm和变量,经过多年的注射淡水和蒸汽以增加恢复。因此,目前,水切割和电阻率之间没有相关性,具有常规岩石物理技术的油和水之间的差异是不准确的。传统的日志分析具有有限的电位,因为电阻率显示出油和水轴承水平的相同值。从不准确的饱和度计算决定完成策略是一项重大挑战。此外,自由水的存在降低了净工资,并迅速增加了该高油粘度环境中的水产量的可能性。因此,对游离水和油粘度的准确评估是该领域经济学的关键因素。本工作包括介电和分子扩散测量,显示出检测来自油的游离水并定义最前景间隔的显着进展。在多个频率下使用介电偏振清楚地识别可移动的油和淡水。介电测量提供充满水的孔隙率,而磁共振识别该体积内的不可缩短的自由水。这允许预测在具有高油饱和区域的区域中生产烃或水的可能性。总之,在储存器中的多个深度的介电偏振和扩散信息的整合能够将油与自由和结合的水区分开,并估计油粘度,这是不可能在这些环境中使用常规原木获得的结果。这种综合方法允许准确的储层表征和这些重油砂的生产潜力的定义,从而改善完成决策。 LAGUNILLAS SANDS的发展运动现在具有一种新的可行技术,可减少不确定性并优化重油生产。

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