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Full Field Modeling of Wafra First Eocene Reservoir 56-year Production History

机译:WAFRA第一yocene水库56年生产历史的全场造型

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A noticeable increase in a carbonate reservoir permeability (relative to that of core) and calibration of the reservoir mobile water saturation resulted from its black model history match to 56-year primary production history. The First Eocene carbonate reservoir of Wafra field contains a large amount of heavy oil (13-19 API). Primary recovery since 1956 has been o approximately 4 percent of the net OOIP. Steamflood has been piloted in the field since 2005. Full field steamflood performance forecasting relies heavily on reservoir simulation, which requires proper calibration of models. Long history of the field primary production is a valuable source of information for such a calibration. Based on core data, the reservoir is not considered fractured and was modeled as a single porosity system. The model initial average horizontal permeability was about 200 md with a maximum of about 1000 md. The 258-million-cell full field geostatistical model was upscaled to a 3.6-million-cell simulation model with the reservoir heterogeneity preserved. Oil viscosity depth variation was incorporated. The model was matched satisfactorily. Well productivity indices were increased to enable each of more than 300 wells to produce at reported liquid rates. Permeability was globally increased. An aquifer was included to match reservoir pressure. Resulting average horizontal permeability did not exceed 2-3 Darcy. Recent MDT tests support this permeability level. Irreducible water saturation (Swir) was modified to match water production. First approximation of Swir was based on core data. Then Swir was multiplied by a factor. The resulting amount of mobile water seems modest within the producing interval and rapidly growing towards the OWC. This mobile water may become a steam thief zone. The calibrated distributions of model permeability and mobile water will be used in steamflood forecasting.
机译:碳酸盐储层渗透率(相对于核心)的显着增加和储层移动水饱和度的校准由其黑色模型历史匹配与56年的主要生产历史相匹配产生。 WAFRA田的第一个碳酸酯储存器含有大量的重油(13-19API)。自1956年以来的初级恢复已o大约4%的净ooip。自2005年以来,Steamflood已在该领域驾驶。全场蒸汽汽割性能预测严重依赖于水库模拟,这需要适当的模型校准。较长的历史初级生产是这种校准的宝贵信息来源。基于核心数据,储存器不被认为是破裂的,并被建模为单一孔隙度系统。模型初始平均水平渗透率约为200 MD,最大约为1000md。 2580万个细胞全场地统计模型升高到360万电池仿真模型,水库异质性保存。掺入油粘度深度变化。该模型令人满意地匹配。提高了生产率指数,以使每个300多个井以报告的液体率产生。全球渗透性增加。包括含水层以匹配水库压力。导致平均水平渗透率不超过2-3达西。最近的MDT测试支持这种渗透率。修改了不可缩续的水饱和度(SWIR)以匹配水生产。苏里尔的首次近似是基于核心数据。然后苏尔州乘以一个因素。所得到的移动水量在生产间隔内似乎适度,并朝着OWC迅速生长。这种移动水可能成为蒸汽小偷区域。校准的模型渗透性和移动水分布将用于Steamflood预测。

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