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Analysis of Multiphase Reservoir Production From Oil/ Water Systems Using Rescaled Exponential Decline Models

机译:利用重新划分的指数下降模型分析来自油/水系统的多相储层生产

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摘要

In this study, we present an analytical approach based on rescaled exponential models that are able to analyze production data from oil/water systems producing under boundary-dominated flow conditions. The model is derived by coupling two-phase oil/water material balances with multiphase well deliverability equations. Nonlinearities introduced by relative permeability in multiphase oil/water systems are accounted for via depletion-dependent parameters applied to each of the flowing phases. This study shows that So-Sw-p relationships based on Muskat's standard assumptions can be successfully deployed to correlate saturation and pressure changes in these two-phase systems without the need for user-provided surface production ratios or well-stream composition information. The validity of the proposed model is verified by closely matching predictions against finely gridded numerical models for cases constrained by both constant and variable bottomhole pressure production. In addition, a straight-line analysis protocol is structured to estimate the original oil and water in place on the basis of available production data using rescaled exponential models. Finally, we explore conditions for validity of the assumptions used in the proposed model, including the So-Sw-p formulation, by conducting extensive sensitivity analysis on input parameters.
机译:在这项研究中,我们提出了一种基于重新分配的指数模型的分析方法,能够分析在边界主导的流动条件下产生的油/水系统的生产数据。该模型是通过用多相阱可传递性方程耦合的两相油/水材料余量来源的。通过多相油/水系统中相对渗透率引入的非线性被施加到每个流动阶段的耗尽参数。本研究表明,基于Muskat的标准假设的SO-SW-P关系可以成功部署以相关的饱和度和压力变化,而无需用户提供的表面生产比或井流组合信息。通过对恒定和可变井底压力产生的情况紧密匹配的预测,通过对恒定和可变井底压力产生的情况紧密匹配预测来验证所提出的模型的有效性。此外,直线分析方案构造成基于使用重新定量的指数模型的可用生产数据来估算原始油和水。最后,我们通过对输入参数进行广泛的敏感性分析,探索所提出的模型中使用的假设的有效性的条件,通过对输入参数进行广泛的敏感性分析。

著录项

  • 来源
    《Journal of Energy Resources Technology》 |2019年第8期|082903.1-082903.16|共16页
  • 作者

    Sun Qian; Ayala Luis F.;

  • 作者单位

    Penn State Univ John & Willie Leone Family Dept Energy & Mineral State Coll PA 16801 USA;

    Penn State Univ John & Willie Leone Family Dept Energy & Mineral State Coll PA 16801 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 21:17:41

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