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The Myth of Residual Oil Saturation in SAGD-Simulations Against Reality

机译:抗SAGD模拟中的残余油饱和度的神话

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Understanding how SAGD works is important as most of the in-situ production of bitumen in Alberta isusing SAGD technology.A key parameter in simulation-based SAGD performance prediction is the residualoil saturation,which usually in SAGD simulations is a fixed number based on typical two-phase end-pointrelative permeability curves,combined with Stone's model to yield oil's relative permeability.Therefore,insimulations residual oil saturation(S_(or))never goes below a certain number(typically 0.15-0.2).In reality,based on retrieved cores,there is evidence of S_(or)continuously decreasing to as low as 0.03 and below.Thispaper explains the reason for this discrepancy and suggests modifications to the relative permeability modelfor more realistic simulations.Observations from retrieved cores suggest the residual oil saturation is dependent on the length ofSAGD operation.This is also supported by Cardwell-Parsons correlation albeit for a two-phase system.Thediscrepancy between the current simulation results and actual observations point to the inadequacy of therelative permeability models containing the end points where kr_(og)and kr_(og)vanish at abscissas Sw,Sg less than1.In this work effect of extending mobility of the oil phase all the way to Sw,Sg = 1 and k_(rw),k_(rg)all the wayto Sw,Sg = 0 is examined.First,a column drainage is numerically simulated,and relevant curve parametersare retrieved by comparing results against field results.These curves are then extended to simulate SAGD.The results show that the modified relative permeability curves mimic the observed behavior better withresidual oil phase saturation progressively decreasing with time,rather than remaining constant after acertain point.Improved correlation with observed saturations obtained using modified curves suggest thatthe fixed residual saturations resulting from current models are a myth.When extended to solvent aidedprocesses,the model reinforces the benefit of solvent additives even further.To the best of the authors'knowledge most current SAGD simulations are done in a manner resultingin a fixed residual oil saturation.The proposed method presents an opportunity for better prediction of oilsaturation with time and location and the corresponding performance of the SAGD process.
机译:了解SAGD工作如何重要,因为艾伯塔省的沥青的大部分原型生产是索伯所才能进行SAGD技术。基于仿真的SAGD性能预测中的关键参数是Resealualily饱和度,通常在SAGD模拟中是基于典型二的固定数量 - 相结合的渗透曲线,结合石头的模型,以产生石油的相对渗透性。因此,剩余油饱和度(S_(或))永远不会低于一定数量(通常为0.15-0.2)。在现实中,基于检索的核心,S_(或)的证据将持续减少到0.03和下方。该纸张解释了这种差异的原因,并表明对相对渗透型MODELOL的修改更现实的模拟。从检索的核心开始,可以取决于残留的油饱和度Markwell-Parsons相关性也支持了Wardwell-Parsons相关性的长度,尽管是两阶段系统。目前的s仿成果结果和实际观察指向包含终点的相关渗透性模型的不足,其中KR_(OG)和KR_(OG)消失在横坐标SW中,SG少于1。在这种工作效应延长了油相的迁移率对于SW,SG = 1和K_(RW),k_(rg)验证了所有路径,sg = 0。首先,通过比较现场结果的结果来检索列排水,并检索相关的曲线参数。这些曲线然后延伸以模拟SAGD。结果表明,改进的相对渗透率曲线模拟了观察到的行为更好地逐渐减少时间逐渐减少,而不是在合法点后剩余恒定。使用改进的曲线获得的观察到的饱和度相关的相关性表明固定的当前模型产生的残余饱和饱和是神话。当扩展到溶剂Aidencesses时,该模型甚至增强了溶剂添加剂的益处。最佳作者知道大多数当前的SAGD模拟是以固定的残留油饱和度的方式完成的。该方法提出了更好地预测含有时间和地点的油饱和度以及SAGD过程的相应性能的机会。

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