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Simulador semianalítico para fluxo em reservatórios homogêneos fechados utilizando a solução da fonte pontual aplicada ao método de elementos de contorno

机译:封闭均质油藏渗流的半解析仿真器,采用点源解应用于边界元法

摘要

Solving the problem of fluid flow inside closed reservoirs holds great importance for the oil industry asit allows field managers to evaluate oil producing fields and supplies data to infer production and income. One of the most common ways to solve this problem is by using the Images Method, which models closed barriers as image wells, but requires excessive processing power as it depends on the convergence of sums of infinite series. As an alternative to the Images Method, this work presents a semi-analytical simulator for monophasic and laminar fluid flow on closed, homogeneous and isotropic reservoirs based on the Boundary Element Method (BEM) associated with the Green’s function for a point source in an infinite reservoir as the fundamental solution. This method has known advantages over other numerical methods including, mainly, the reduction on discretization efforts. This work applies the Python programming language associated to scientific libraries, thoroughly tested and applied on this area. The simulator was tested on 5 different scenarios (well on infinite reservoir, well on small and large reservoir, and well decentralized on 1 and 2 axis) and was validated through another semi-analytical simulator whose results were already thoroughly tested. On all scenarios, the simulator achieved correlation values of more than 95%.
机译:解决封闭的油藏内部的流体流动问题对于石油行业非常重要,因为它允许现场经理评估产油区并提供数据以推断产量和收入。解决此问题的最常用方法之一是使用“图像方法”,该方法将封闭的障碍物建模为图像阱,但由于依赖于无穷级数之和的收敛,因此需要过多的处理能力。作为“图像方法”的替代方法,这项工作提出了一种半解析模拟器,用于基于与格林函数相关的边界元方法(BEM),在封闭,均质和各向同性的封闭油层中单相和层流流体,该函数用于无限点源水库为根本解决方案。与其他数值方法相比,该方法具有已知的优势,主要包括减少离散化工作量。这项工作采用了与科学图书馆相关的Python编程语言,并经过了全面测试和应用。该模拟器在5种不同的场景下进行了测试(分别在无限储层,大小储层上以及分别在1和2轴上分散),并通过另一个半分析模拟器进行了验证,该模拟器的结果已经过全面测试。在所有情况下,模拟器的相关值均超过95%。

著录项

  • 作者

    Araújo Rodrigo Moreira;

  • 作者单位
  • 年度 2016
  • 总页数
  • 原文格式 PDF
  • 正文语种 por
  • 中图分类
  • 入库时间 2022-08-20 20:32:19

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