• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Development and utilization of integrated artificial expert systems for designing multi-lateral well configurations, estimating reservoir properties and forecasting reservoir performance.
【24h】

Development and utilization of integrated artificial expert systems for designing multi-lateral well configurations, estimating reservoir properties and forecasting reservoir performance.

机译：开发和利用集成的人工专家系统，用于设计多边井配置，估算储层特性和预测储层性能。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Reservoir simulation is one of the main tools if not the most important one reservoir engineers use to forecast a reservoir performance. Nevertheless, developing and operating a reservoir simulator in the first place can be an arduous task that requires a set of highly skilled individuals in science, advanced mathematics, programing, and reservoir engineering and powerful computational models.;The reliability of a reservoir simulator depends on the availability and the quality of the reservoir properties. These properties are obtained from open-hole logs, core studies and well testing analysis which can sometimes be prohibitively cost intensive.;Another important component of the overall process affecting the reservoir performance is the multilateral well configuration. Achieving the right design of a multilateral well configuration is a complex problem due to the vast possibilities of well forms that need to be evaluated.;In light of the above, this dissertation demonstrates the development and the application of a set of integrated artificial expert systems in the area of forecasting, reservoir evaluation and multilateral well design. The applied method has gradually progressed in degrees of complexity from addressing a preliminary case of volumetric single phase gas reservoirs completed with only dual-laterals towards an expanded form of the same system with varying multi-laterals and reservoir properties to eventually and successfully implementing it to multiphase reservoirs with bottom water drive systems completed with multi-laterals (choice of 2-5 laterals). The developed method and tools cover a wide spectrum of rock and fluid properties spanning tight to conventional sands. The developed approach successfully delivers a total of five distinct artificial expert systems, three of them serve as proxies to the conventional numerical simulator for predicting reservoir performance in terms of cumulative oil recovery, cumulative oil and gas productions and estimating the end of plateau and abandonment times and a third one for predicting cumulative fluid production. These aforementioned systems are categorized as forward-looking solutions. Whereas the other two artificial expert systems are categorized as inverse-looking solutions, one that addresses the multi-lateral well design problem and the other that estimates critical reservoir properties that can be used at the very least as first estimators in assist history matching problems and for improving the assessment of nearby prospects in field development or in-fill drilling exercises.;Furthermore, graphical user interfaces (GUIs) in conjunction with the expert systems structured are developed and assembled together for standalone installation. These GUIs allow the engineer to edit and input data, produce results numerically and graphically, compare results with a commercial numerical simulator, and generate an interactive 3-D visualization of the multilateral well.;It is expected that the developed integrated artificial expert systems will immensely reduce expenses and time requirements and effectively enhance the overall decision-making process. However, it is worth noting that the proposed expert systems are not to replace the conventional and well established procedures and protocols but rather as auxiliary or complementary applications, where applicable, to relief some of the computational overhead, provide educated estimation of key reservoir properties or the very least help fine tune them and present the inverse-looking solution to the multi-lateral well design problem or the least a starting point.
机译：如果不是储层工程师用来预测储层性能的最重要工具，则储层模拟是主要工具之一。然而，首先要开发和操作油藏模拟器可能是一项艰巨的任务，需要一组在科学，高级数学，程序设计，油藏工程和强大的计算模型方面的高技能人才。;油藏模拟器的可靠性取决于储层属性的可用性和质量。这些属性是从裸眼测井，岩心研究和试井分析中获得的，有时这些过程可能会耗费大量成本。;影响储层性能的整个过程的另一个重要组成部分是多边井配置。由于需要评估的油井形式的可能性很大，因此实现正确的多边油井构造设计是一个复杂的问题。鉴于上述，本文论证了一套集成的人工专家系统的开发和应用在预测，储层评估和多边油井设计领域。从解决仅用双侧完成的单相体积气藏的初步案例到具有多侧和储层特性变化的同一系统的扩展形式，最终已成功地实现了应用方法，其复杂程度已逐步提高带有底水驱动系统的多相水库，具有多分支（2-5个分支的选择）。所开发的方法和工具涵盖了范围广泛的岩石和流体特性，涵盖了与常规砂岩紧密相关的特性。所开发的方法成功地提供了总共五个不同的人工专家系统，其中三个作为常规数值模拟器的代理，用于根据累积采油量，累积油气产量预测储层性能，并估计高原期和废弃时间第三个用于预测累积流体产量。这些前述系统被归类为前瞻性解决方案。而其他两个人工专家系统则归类为逆向解决方案，一个系统解决多边油井设计问题，另一个系统评估关键的储层特性，至少可以将其用作辅助历史拟合问题的第一估计器，并且以便在现场开发或填充钻探演习中改进对附近前景的评估。此外，还开发了图形用户界面（GUI）以及结构化的专家系统，并将其组装在一起以进行独立安装。这些GUI允许工程师编辑和输入数据，以数字和图形方式产生结果，与商用数值模拟器进行结果比较以及生成多边井的交互式3-D可视化图像;预计已开发的集成人工专家系统将能够大大减少开支和时间要求，并有效地改善整个决策过程。但是，值得注意的是，建议的专家系统不是要代替常规的和完善的程序和协议，而是作为辅助或补充应用（在适用情况下），以减轻部分计算量，提供关键储层属性的有根据的估计或至少可以帮助他们进行微调，并提出多边井设计问题的反面解决方案，或者至少是一个起点。

著录项

  • 作者

    Almousa, Talal Saeed.;

  • 作者单位

    The Pennsylvania State University.;

  • 授予单位 The Pennsylvania State University.;
  • 学科 Engineering Petroleum.;Artificial Intelligence.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 181 p.
  • 总页数 181
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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