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首页> 外文期刊>Journal of natural gas science and engineering >Selection of optimum bottom hole assembly configuration using steering prediction modeling
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Selection of optimum bottom hole assembly configuration using steering prediction modeling

机译：使用转向预测建模选择最佳的井底钻具组合

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Today, the most common approach to directional bottom hole assembly (BHA) design is a pragmatic method in which decisions and judgments about the BHA's suitability, are based on previous experience. BHA dynamics and BHA tendency modeling tools are used occasionally. These tools have steadily improved by advancements in computational mechanics, and engineers have tried to make good use of the models, but the high expectations of their predictive value have often led to disappointments. The absence of a clear workflow has also hindered widespread use of the tendency models. In this study, we present an approach to use steering prediction modeling for rotary steerable system BHAs. More specifically, we demonstrate how these fast numerical models can be useful for optimum BHA selection, which enables the highest chance of drilling success. As a result, we report how the presented methodology is exercised to select the most appropriate BHA from a list of candidates, considering its mechanical characteristics and fitness for a given well plan. (C) 2015 Elsevier B.V. All rights reserved.
机译：如今，定向底孔组件（BHA）设计的最常用方法是一种务实的方法，其中基于BHA的适用性进行决策和判断。有时会使用BHA动态和BHA趋势建模工具。随着计算力学的进步，这些工具得到了稳步改进，工程师们试图充分利用这些模型，但是对它们的预测价值的高期望常常导致失望。缺乏清晰的工作流程也阻碍了趋势模型的广泛使用。在这项研究中，我们提出了一种将转向预测模型用于旋转可控系统BHA的方法。更具体地说，我们演示了如何使用这些快速数值模型来优化BHA选择，从而最大程度地提高钻井成功率。结果，我们报告了如何利用提出的方法从候选清单中选择最合适的BHA，并考虑其机械特性和对给定井眼计划的适用性。 （C）2015 Elsevier B.V.保留所有权利。

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