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Reservoir Characterization and Estimating EOR Potential with a Sector Model Simulation of Senal Picada,a Large Mature Field in Argentina

机译:储层表征和估算EOR潜力的思想模型模拟,阿根廷大型成熟领域

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A number of fields in the Neuquén Basin are currently mature waterfloods.To obtain significant incremental volumes of additional oil,EOR technologies need to be screened and then implemented. Se?al Picada is one of Argentina’s largest fields with nearly 500 wells in 2013.These wells have exploited all the oil bearing areas of the field and have identified all of the oil water contacts in the various reservoir that make up this field.In 2013 the field was producing with a 96%water cut.Therefore for this field to have a long term future,post waterflood opportunities need to be identified. To accelerate the characterization of such a large field,it was decided to study a sector of the field which was thought to be suitable for an EOR pilot and where an excellent quality core has been acquired. By focusing on a sector,the construction and data QC of both the static and dynamic models was faster than if an attempt was made to construct a full field model.Additionally more iterations between static and dynamic models were possible in less time to identify which variables had the greatest impact on the history matching process and forecasts.With the main reservoir layers characterized,it was possible to both extrapolate the learning to the whole field and to evaluate EOR processes in more detail. The sector modeling demonstrated that 3–4 stratigraphic cycles had the highest potential for EOR. However within these cycles two very different facies were identified by the study,a high permeability sandstone suitable for EOR and a low permeability carbonate which would negatively impact any chemical injection program. The dynamic modeling of the field combined with analysis of the logs of infill wells surprisingly demonstrated that there was significant attic oil potential.This was interpreted as being due to the high vertical permeability in the field resulting in a waterflood which was more affected by gravity forces than viscous forces.
机译:Neuquén盆地中的许多领域目前是成熟的水闪鸟。为了获得大量的额外油,需要筛选eOR技术,然后实施。 SE?Al PICADA是阿根廷最大的领域,2013年近500个井。这些井已经利用了该领域的所有油轴承区域,并确定了构成该领域的各种水库中的所有油水接触。这是2013年该领域正在生产96%的水切割。因此,对于这个领域有一个长期未来,需要识别水机会后的机会。为了加速如此大领域的表征,决定研究该领域的扇区,该领域被认为适合EOR飞行员,并且已经获得了优质的核心。通过专注于一个扇区,静态和动态模型的施工和数据QC速度比尝试构建完整的现场模型。在更少的时间内可能在静态和动态模型之间进行更多迭代,以识别哪些变量对历史匹配过程和预测产生了最大的影响。具有所表征的主储层层,可以将学习推断到整个领域并更详细地评估EOR过程。该扇区建模表明,3-4个地层循环具有最高的EOR潜力。然而,在这些循环中,研究通过研究确定了两个非常不同的相,适用于EOR的高渗透性砂岩和低渗透碳酸盐,这会对任何化学注射程序产生负面影响。该场的动态建模结合了填充井的日志令人惊讶地证明存在显着的阁楼油潜力。这被解释为由于该领域的高垂直渗透率导致了由重力力影响的水料比粘性力量。

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