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Fluvial architecture and four-dimensional saturation modeling of a steam flood: Kern River field, California

机译:河流洪水的河流建筑与四维饱和度建模:加利福尼亚州Kern River Field

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The upper Miocene Kern River Formation at Kern River field is a thick succession of braided stream deposits. Because the oil field has been penetrated by more than 21,000 wells, with well spacing typically of 2.5 ac (10(4) m(2)), high-quality imaging of the reservoir can be accomplished using well logs. The field contains more than 650 observation wells recording temperatures and saturation, such that heating and drainage of the reservoir can be characterized over time. Oil and gas saturations in a 360-ac (1.5 x 10(6) -m(2)) study area within the Kern River field were modeled in three dimensions over time, creating a four-dimensional (4-D) earth model. Static lithology and porosity properties were first created. Then, temperature, oil, and gas saturations were kriged using data from observation wells at different time increments. From these kriged models, difference models were created to show changes in oil and gas saturation with time. Changes in oil volumes in the 4-D model matched produced volumes within a 10% error. Next, categorical descriptions of net oil saturation were made (best oil, background oil, partially drained, and residual saturations), and temporal evolution of the volumes of the different categories was modeled. By characterizing the reservoir in detail using the well-log data to define a reservoir framework and the observation wells to characterize changes over time, significant challenges in steam-flood reservoir management can be addressed, including determining which parts of the reservoir are producing the most and recognizing parts of the reservoir that are not actively draining.
机译:克伦河田的上部内科基河河流形成是厚重的编织物流沉积物。因为油田已经渗透超过21,000个孔,所以井间距通常为2.5AC(10(4)米(2)),所以可以使用良好的日志完成储层的高质量成像。该字段含有超过650个观察井记录温度和饱和度,使得储层的加热和排水可以随着时间的推移表征。 360-ac(1.5×10(6)-m(2))的油和气体饱和在Kern River领域内的研究区域随着时间的推移,三维建模,创造了四维(4-D)地球模型。首先创建静态岩性和孔隙率特性。然后,使用来自观察孔的数据以不同的时间增量使用数据,温度,油和气体饱和。从这些Kriged模型中,创建了差异模型,以显示有时间的油气饱和度的变化。 4-D模型中的石油卷的变化匹配在10%错误中产生的产量。接下来,制造净油饱和度的分类描述(最佳油,背景油,部分排水和残余饱和),并建模了不同类别的量的时间演变。通过将储层使用井 - 日志数据进行详细描述储层框架和观察井来表征变化随时间的变化,可以解决蒸汽洪水储层管理中的重大挑战,包括确定储层的哪些部分是生产的并识别没有积极排出的水库的部分。

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