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Optimization methodology for cycle steam injection with horizontal wells.

机译:水平井循环注汽的优化方法。

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摘要

Horizontal wells are becoming a very important component in the thermal recovery of heavy oil reservoirs. The success of a cyclic steam injection project depends strongly on the selection of key parameters, such as cycle length and amount of steam injected. Since analytical models are not available, the design should be supported by numerical simulation. However, the numerical simulation of horizontal wells, especially under non-isothermal conditions, is computationally demanding. When optimization is combined with numerical simulation, the computing time requirement may be prohibitive and it is not guaranteed that the optimum conditions will be found.;In this research, a new methodology has been developed for optimizing the cyclic steam injection process for vertical and horizontal wells. The procedure integrates three stages: oil production characterization, net present value maximization and model validation/tuning. The three-stage procedure provides the optimum number and/or duration of cycles, the optimum amounts of steam to be injected in each cycle and the optimum value of the overall economic indicator.;The characterization stage starts with numerical simulation in a specific range of steam injection conditions. The generated data are used to identify the parameters of a production decline model, describing the effect of injected steam in the particular well. In the optimization stage, the decline model is coupled with a nonlinear, constrained optimization algorithm based on the Quasi-Newton method. Finally, during the last stage the optimal values obtained in the optimization stage are corroborated by numerical simulation and, if necessary, the characterization stage is repeated with a narrower range of the decision variables centered around the currently available best values.;The proposed optimization algorithm was successfully validated with published results obtained from the discrete maximum principle. The three-stage methodology was evaluated on a well documented data set, which had been the subject of a comparative study on the performance of various thermal simulators. The methodology was then applied to determine the optimum conditions of cyclic steam injection for a horizontal well located in Bachaquero field, Venezuela.
机译:水平井正在成为稠油油藏热采中非常重要的组成部分。循环蒸汽注入项目的成功在很大程度上取决于关键参数的选择,例如循环长度和注入的蒸汽量。由于没有分析模型,因此应通过数值模拟来支持设计。然而,水平井的数值模拟,特别是在非等温条件下,对计算的要求很高。当优化与数值模拟相结合时,计算时间要求可能会过高,并不能保证找到最佳条件。;本研究中,开发了一种用于优化垂直和水平循环蒸汽注入过程的新方法井。该程序集成了三个阶段:石油产量表征,净现值最大化和模型验证/调整。三阶段程序提供了最佳的循环次数和/或持续时间,每个循环中注入的蒸汽的最佳量以及总体经济指标的最佳值。表征阶段从特定范围内的数值模拟开始蒸汽注入条件。生成的数据用于识别产量下降模型的参数,描述在特定井中注入的蒸汽的影响。在优化阶段,将下降模型与基于拟牛顿法的非线性约束优化算法耦合。最后,在最后阶段,通过数值模拟证实了在优化阶段获得的最佳值,并且,如果必要,以围绕当前可用最佳值为中心的较窄决策变量范围重复进行特征化阶段。已成功地验证了从离散最大原理获得的公开结果。在一个有据可查的数据集上评估了这三个阶段的方法,该数据集已成为各种热模拟器性能比较研究的主题。然后将该方法应用于确定委内瑞拉Bachaquero油田水平井的循环注汽的最佳条件。

著录项

  • 作者

    Escobar, Elena Margarita.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Engineering Petroleum.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 120 p.
  • 总页数 120
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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