首页> 外文期刊>Petroleum Science and Technology >Prediction of Key Points of Water-oil Relative Permeability Curves Using the Linear Regression Technique
【24h】

Prediction of Key Points of Water-oil Relative Permeability Curves Using the Linear Regression Technique

机译:基于线性回归技术的水油相对渗透率曲线关键点预测

获取原文
获取原文并翻译 | 示例
           

摘要

Relative permeability is among the most critical parameters in reservoir performance evaluation and EOR projects. It reflects the ease of movement and trapping of different phases and affects the production rate and ultimate recovery from reservoirs. Experimental measurement of relative permeability curves is complicated, costly, time consuming, and the results can easily be influenced by test conditions and interpretation methods. Empirical correlations are alternative approaches that are based on existing experimentally measured relative permeability curves and rock and fluid properties. The authors used 260 relative permeability curves from Iranian carbonate and sandstone reservoirs. Six key points for each set of water-oil relative permeability were determined, which fully characterize these curves. Using linear regression technique, new correlations were proposed to predict these key points. Having this done, it is then easy and straightforward to construct unnormalized/real water-oil relative permeability curves.
机译:相对渗透率是储层性能评估和EOR项目中最关键的参数之一。它反映了不同相移动和捕集的难易程度,并影响了生产速度和从储层的最终采收率。相对渗透率曲线的实验测量是复杂,昂贵,费时的,并且结果很容易受到测试条件和解释方法的影响。经验相关是基于现有实验测量的相对渗透率曲线以及岩石和流体性质的替代方法。作者使用了来自伊朗碳酸盐岩和砂岩储层的260条相对渗透率曲线。确定了每组水-油相对渗透率的六个关键点,这些要点充分表征了这些曲线。使用线性回归技术,提出了新的相关性来预测这些关键点。完成此操作后,就可以轻松而直接地构造未归一化/真实的水油相对渗透率曲线。

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