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A Perforating Tool Kit as a Computational Paradigm

机译:穿孔工具包作为计算范式

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This paper discusses using a perforating toolkit as a computational paradigm to provide perforating solutions to field personnel. This toolkit provides an extensive list of charges and gun systems and generates the effects on the target rock and overburden pressure. Outputs include depth of penetration and casing hole sizes. It has an improved graphical user interface (GUI) and updated algorithms based on data from the flow laboratory. The perforating toolkit uses up-to-date API data as the basis for the calculations; simulations are based on parameters set by the user and outputs are in a graphical format, showing the perforating performance within the reservoir. The perforating toolkit software is designed to use improved data obtained from recent laboratory testing. The most up-to-date flow laboratory testing was used to generate the algorithms for the perforating toolkit, generating more precise algorithms and producing improved perforation predictions. Testing involved a broader range of data than was previously used, allowing the software to make more accurate predictions. This new tool was benchmarked using laboratory testing, which demonstrated the quality of the paradigm and its functional use for improved downhole perforating. The software provides the field user with a tool to predict downhole shaped-charge performance quickly and in a cost-effective manner. The models also allow a number of parameters to be varied for a better comparison of different scenarios. This paper discusses how new data across a broader range from the flow laboratory was used to improve the basic software algorithms and help provide the most accurate prediction of downhole charge performance.
机译:本文使用穿孔工具包作为计算范例讨论,以为现场人员提供穿孔解决方案。该工具包提供了广泛的收费和枪系统列表,并为目标岩石和覆盖压力产生了影响。输出包括渗透和套管孔尺寸的深度。它具有改进的图形用户界面(GUI)和基于来自流实验室的数据的更新算法。穿孔工具包使用最新的API数据作为计算的基础;仿真基于用户设置的参数,输出处于图形格式,显示储存器内的穿孔性能。穿孔工具包软件旨在使用从最近的实验室测试获得的改进数据。最新的流动实验室测试用于生成穿孔工具包的算法,产生更精确的算法并产生改进的穿孔预测。测试涉及比以前使用的更广泛的数据范围,允许软件做出更准确的预测。该新工具采用实验室检测基准,该工具展示了范例的质量及其功能用途,可用于改善井下孔隙。该软件为现场用户提供了一种工具,以快速地和以经济高效的方式预测井下形状的性能。该模型还允许改变多个参数以便更好地比较不同场景。本文讨论了从流实验室的更广泛范围内的新数据用于改善基本软件算法,并帮助提供对井下充电性能的最准确预测。

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