首页> 外文会议>Kuwait International Petroleum Conference and Exhibition >History Matching Saturation and Temperature Fronts with Adjustments of Petro-Physical Properties; SAGD Case Study
【24h】

History Matching Saturation and Temperature Fronts with Adjustments of Petro-Physical Properties; SAGD Case Study

机译:历史匹配饱和度和温度前锋,调整石油物理性质; SAGD案例研究

获取原文
获取外文期刊封面目录资料

摘要

History matching of reservoir flow models based only on production data may not reveal deficiencies that affect future predictions. Incorporating saturation and temperature profile data that come from 4D seismic surveys in the history matching process can reduce the uncertainty of reservoir models for the prediction stage. We constructed a field reservoir model from which production history, saturation and temperature profile history were obtained. We started the history matching process with a base reservoir model, the petro-physical properties of which were substantially different than those of the field reservoir model. We propose a new methodology for matching the fluid and temperature profiles by adjusting reservoir petro- physical properties. In this methodology, some grid blocks in a reservoir model were selected judiciously to capture the overall saturation and temperature distribution profiles. In addition to well production data, we included the saturation and temperature profiles at these grid blocks as extra objective functions during the history matching process. The DECE optimization is used to reduce the objective function. We applied this method in a Steam Assisted Gravity Drainage (SAGD) process and matched the saturation and temperature profiles with an average error of less than 2%.
机译:仅基于生产数据的水库流模型的历史匹配可能不会透露影响未来预测的缺陷。结合历史匹配过程中来自4D地震调查的饱和度和温度曲线数据可以减少预测阶段的储层模型的不确定性。我们构建了一个现场储层模型,从中获得了生产历史,饱和度和温度曲线历史。我们开始具有基础储层模型的历史匹配过程,其石油物理特性与现场储层模型的储层物理性质基本不同。我们提出了一种通过调整储层石油物理性质来匹配流体和温度曲线的新方法。在该方法中,储层模型中的一些网格块是明智地选择的,以捕获整体饱和度和温度分布型材。除了生产数据之外,我们还包括在这些网格块处的饱和度和温度分布,作为历史匹配过程中的额外客观功能。 DECE优化用于减少目标函数。我们在蒸汽辅助重力排水(SAGD)过程中应用该方法,并匹配饱和度和温度曲线,平均误差小于2%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号