Quantifying Bottomhole Assembly Tendency Using Field Directional Drilling Data and a Finite Element Model
Quantifying Bottomhole Assembly Tendency Using Field Directional Drilling Data and a Finite Element Model
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DOI：
10.2118/52835-ms
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发表时间：
1999
影响因子：
1.3
通讯作者：
W. Lesso;M. Chau
中科院分区：
文献类型：
--
作者：
W. Lesso;M. Chau
预测井底钻具组合的定向趋势是提高定向钻进效率的关键。有限元模型试图描述钻井过程中钻具组合与井筒之间详细的物理相互作用。然而，这些模型的有效使用受到难以量化的参数的阻碍，特别是地层的强度和井径的变化。在系统的统计分析中使用了1994至1997年间在墨西哥湾进行的6400多次钻具组合运行的细节，并结合趋势模型的智能使用，得出了在该软件的单次运行中不太明显的信息。然后，这些信息可以用作预测工具，以最大限度地减少参数不确定性的影响，并隔离和校准模型对其敏感的变量。通过这些研究，得到了海湾地区不同地区最具代表性的地层刚度和井眼超限的值。我们描述了一种使用高级建模和统计分析相结合的方法，以提供对钻具组合趋势的更可靠预测，并指示这些预测技术可以有效应用的条件。
Predicting the directional tendency of a bottomhole assembly (BHA) is a key element in improving the efficiency of the directional drilling process. Finite element models attempt to represent the detailed physical interactions between the BHA and wellbore while drilling. However, effective use of such models has been hindered by parameters that are difficult to quantify, particularly the strength of the formation and variations in hole gauge. Details of over 6400 BHA runs made in the Gulf of Mexico from 1994 through 1997 were used in a systematic statistical analysis and combined with intelligent use of the tendency models to yield information that is not readily apparent in single runs of the software. This information can then be used as a predictive tool to minimize the effects of the parameter uncertainties, and to isolate and calibrate those variables to which the models are sensitive. From these studies the most representative values for formation stiffness and hole over-gauge were obtained for various areas within the Gulf region. We describe a methodology using this combination of advanced modeling and statistical analysis to provide more reliable predictions of BHA tendency and to give an indication of the conditions where such predictive techniques can be effectively applied.