A new method for predicting casing wear in highly deviated wells using mud logging data

IF 2.6 Q3 ENERGY & FUELS
Asgar Eyvazi Farab , Khalil Shahbazi , Abdolnabi Hashemi , Alireza Shahbazi
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引用次数: 0

Abstract

Casing wear is an essential and complex phenomenon in oil and gas wells. Research has been conducted to predict this phenomenon. This study was conducted at a well in southwestern part of Iran. In this paper, the forces exerted on the drill string are primarily studied. Next, the contact force between the drill string and the casing is calculated. Finally, the wear volume and the depth of the wear groove are determined. These calculations were performed using MATLAB and Python software. In addition, to achieve high accuracy of coding, mud log data was used to make the results more precise. It has also been shown that increasing RPM increases the depth of wear and attempts to drill a highly deviated wells as a sliding mode. Finally, the obtained results were compared and matched with the wireline logs recorded from the well.

一种利用测井资料预测大斜度井套管磨损的新方法
套管磨损是油气井中一种重要而复杂的现象。已经进行了预测这一现象的研究。这项研究是在伊朗西南部的一口井中进行的。本文主要研究了施加在钻柱上的力。接下来,计算钻柱和套管之间的接触力。最后,确定了磨损量和磨损槽的深度。这些计算是使用MATLAB和Python软件进行的。此外,为了实现高精度的编码,使用了泥浆测井数据,使结果更加精确。还表明,增加RPM会增加磨损深度,并试图以滑动模式钻大斜度井。最后,将获得的结果与该井记录的电缆测井进行了比较和匹配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
5.50
自引率
0.00%
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