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首页> 外文会议>Intelligent Energy International Conference >Development and Utilization of Integrated Artificial Expert Systems for Designing Multi-Lateral Well Configurations, Estimating Reservoir Properties and Forecasting Reservoir Performance
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Development and Utilization of Integrated Artificial Expert Systems for Designing Multi-Lateral Well Configurations, Estimating Reservoir Properties and Forecasting Reservoir Performance

机译：用于设计多横向井配置的综合人工专家系统的开发利用，估算储层性能和预测水库性能

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Reservoir simulation is one of the main if not the most important tool reservoir engineers use to forecast a reservoir performance. Nevertheless, developing and operating a reservoir simulator tool 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 (Ertekin, et al., 2001). 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 paper 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 is implemented to volumetric single phase gas reservoirs with a variety of rock and fluid properties spanning tight to conventional sands. The developed approach delivers a proxy to the conventional numerical simulator for predicting reservoir performance, an expert system for estimating reservoir properties from rate decline data, and an expert system for recommending multilateral well design parameters for a target recovery profile. 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 expert systems will immensely reduce time requirements and effectively enhance the overall decision-making process. However it is emphasized that this paper is not suggesting the replacement of existing and well established procedures, protocols and know-how with the developed expert systems, but rather applying them as auxiliary, pre- screening or complimentary systems where and when applicable to ease of the computational overload, deliver a solution to the inverse-looking problems and enhance the overall decision-making process.
机译：储层模拟是主要的，如果不是最重要的工具储层工程师使用用于预测水库性能。尽管如此，首先，开发和操作水库模拟器工具可能是一种艰巨的任务，需要一组高技能的个人在科学，高级数学，编程和水库工程和强大的计算模型中（Ertekin，等，2001） 。储层模拟器的可靠性取决于储层性质的可用性和质量。这些性质是从开孔日志，核心研究和井测试分析中获得的，有时可以过度成本。影响储层性能的整体过程的另一个重要组成部分是多边井配置。由于需要评估的井形式可能性，实现多边井配置的正确设计是一个复杂的问题。鉴于上述情况，本文展示了一组综合人工专家系统在预测，水库评估和多边井设计领域的开发和应用。应用方法以体积单相气体储层实现，其具有跨越常规砂的各种岩石和流体性质。发达的方法提供了一个代理到现有的数值模拟器用于预测油藏性能，用于从速率下降数据来估计储集层特性的专家系统，以及用于对目标轮廓恢复推荐多边井的设计参数的专家系统。此外，图形用户界面（GUI）与构造的专家系统一起开发并组装在一起进行独立安装。这些GUI允许工程师编辑和输入数据，在数字和图形地产生结果，与商业数值模拟器进行比较结果，并产生多边井的交互式3-D可视化。预计发达的专家系统将大大降低时间要求，有效提高整体决策过程。然而，强调本文并不暗示更换现有的和成熟的程序，协议和专业知识，而是将其作为辅助，预筛选或互补的系统应用于适用于易于计算过载，提供解决方案的问题，并增强整体决策过程。

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