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An Algorithm to Automatically Zero Weight on Bit and Differential Pressure and Resulting Improvements in Data Quality

机译:一种算法,可以自动为位和差压的重量,并导致数据质量的提高

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Weight on bit (WOB) and differential pressure (DIFP) are two essential parameters derived from surface sensors during the drilling process. However, there can be significant errors in these measurements due to improper zeroing of these traces. Regular zeroing of WOB is important to ensure that it is calibrated for additional stands that have been added to the drill string. Similarly, regular zeroing of DIFP is important to ensure that added hydrostatic pressure, which increases with depth, is taken into account, and to ensure that DIFP has been calibrated to the correct pump rate. In this paper, we quantify the errors due to forgotten and incorrect zeroing, and discuss an algorithm which was developed to automatically zero WOB and DIFP to eliminate these errors. This study has two main sections. In the first section, the current practice of zeroing WOB (prior to rotary drilling) is analyzed in 40 onshore wells. It is found for 86% of all stands, WOB is either zeroed incorrectly or not at all. An algorithm is developed to determine the appropriate time to perform the zero WOB operation. Using this algorithm, it is found that the average WOB error per stand due to improper zeroing is 16.8% and 17.6% in the vertical and lateral wellbore sections respectively. Further, it was found that repeated forgotten zeroes could result in large errors, particularly in the vertical where 8% of stands have WOB inaccuracies of over 30%. In the second section, the analysis is repeated for DIFP and it is found that zeroing DIFP is forgotten in 51% of all stands, resulting in errors of 17.5% and 8.9% in the vertical and lateral, respectively. In the vertical 9.9% of stands have DIFP inaccuracies of over 30% due to forgotten zeroing. Applying these algorithms to historic data can eliminate these errors, and improve the effectiveness of data-based drilling optimization and analytics. Further, these algorithms could be implemented in an electronic drilling recorder (EDR) to improve the quality of real-time data at the rig.
机译:位(WOB)的重量和差压(DIFP)是在钻井过程中源自表面传感器的两个基本参数。但是,由于这些迹线的零级不当,这些测量中可能存在显着的错误。 WOB的定期归零对于确保已校准已添加到钻串的额外支架进行校准。类似地,DIFP的常规归零对于确保添加到深度增加的静液压压力是重要的,并考虑到较深度,并确保DIFP已被校准到正确的泵速率。在本文中,我们量化由于遗忘和错误的归零而导致的错误,并讨论了一种开发的算法,该算法是自动为零的WOB和DIFP以消除这些错误。本研究有两个主要部分。在第一部分中,在40个陆上井中分析了归零WOB(在旋转钻井之前)的当前实践。它发现了86%的展台,WOB完全归零或根本不归零。开发了一种算法来确定执行零WOB操作的适当时间。使用该算法,发现垂直和横向井筒部分的平均WOB误差由于不正确的ZERONGING,分别是垂直和横向井筒部分的16.8%和17.6%。此外,发现重复的被遗忘的零可能导致大的误差,特别是在垂直于8%的展台有超过30%的梭子。在第二部分中,对DIFP重复分析,发现归零DIFP在所有代表的51%中被遗忘,导致垂直和横向的误差为17.5%和8.9%。由于遗忘的归零,垂直9.9%的展台具有超过30%的差异超过30%。将这些算法应用于历史数据可以消除这些错误,并提高基于数据的钻探优化和分析的有效性。此外,这些算法可以在电子钻探记录器(EDR)中实现,以提高钻机处的实时数据的质量。

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