TECHNIQUES FOR DETERMINING SIZE AND SHAPE OF DRILL CUTTINGS

J. C. Kern, G. Montagna, M. F. Borges
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引用次数: 2

Abstract

In the oil and gas industry, the presence of cuttings during the well drilling stage creates a concerning problem known as erosion. The risks of catastrophic failure caused by erosion in hydraulic systems become even greater (e.g., choke line and MPD) when observing control and safety wells on drilling rigs. The geometric characteristics of the particles are important physical attributes, as they influence the wear mechanisms of the materials directly. Therefore, this work presents an analysis of the methodology used for determining the size and shape of particles. Initially, the collection of samples was obtained by Chute Riffling technique. The samples were tested using vibrating sieves for particle size analysis. The study uses computerized image analysis to determine the particle size distribution, as well as shape parameters. The application of both techniques demonstrates that the image analysis results were very similar to the sieving, even when a much smaller sub-sample is under analysis. The granulometric analysis of the diameter of the drill cuttings by the method of vibratory sieving showed a range of size ranging from 0.10 mm to 3.35 mm, and, by the image analysis, it showed a range of size going from 0.11mm to 4.2mm. The shape parameters of the majority of drill cuttings analyzed in the present work was classified as “high circularity” and “well-rounded.”
测定钻屑尺寸和形状的技术
在石油和天然气行业,钻井阶段的岩屑产生了一个令人担忧的问题,即侵蚀。当观察到钻井平台上的控制井和安全井时,液压系统(例如节流管和MPD)腐蚀引起的灾难性故障的风险变得更大。颗粒的几何特性是重要的物理特性,直接影响材料的磨损机理。因此,这项工作提出了用于确定颗粒的大小和形状的方法的分析。最初,样品的收集是通过斜槽Riffling技术获得的。用振动筛对样品进行粒度分析。该研究使用计算机图像分析来确定颗粒大小分布以及形状参数。这两种技术的应用表明,图像分析结果非常类似于筛分,即使是在一个小得多的子样本进行分析。采用振动筛分法对钻屑粒径进行粒度分析,粒径范围为0.10 mm ~ 3.35 mm,图像分析显示粒径范围为0.11mm ~ 4.2mm。目前所分析的大部分钻屑的形状参数被归类为“高圆度”和“圆度”。
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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