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Evaluation of drill cuttings in prediction of penetration rate by using coarseness index and mean particle size in percussive drilling

机译:利用粗度指数和平均粒径预测冲击钻进时钻屑的评估

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Penetration rate of rocks is influenced by geological parameters, machine parameters and operating parameters. This paper presents a study on the coarseness index (CI) and mean particle size (d) to evaluate the penetration rate (PR) in percussive drilling in a limestone and in a marl quarry. The coarseness index was determined from sieve analysis. The mean particle size (d) and specific surface area (SSA) were determined by using Rossin-Rammler-Sperling (RRS) graph for each hole samples. The relationships between PR and CI, d, SSA were investigated by regression analysis. The best lines were selected in these graphs. Reliable relations were found between penetration rate and coarseness index and mean particle size. Finally, it was seen that the coarseness index and mean particle size could be used in evaluating the penetration rate in percussive drilling operations.
机译:岩石的渗透率受地质参数,机器参数和运行参数的影响。本文介绍了对粗度指数(CI)和平均粒径(d)的研究,以评估在石灰石和石灰石采石场中进行冲击钻进的速率(PR)。粗度指数通过筛分分析确定。使用每个孔样品的Rossin-Rammler-Sperling(RRS)图确定平均粒径(d)和比表面积(SSA)。通过回归分析研究了PR与CI,d,SSA之间的关系。在这些图中选择了最佳线条。在渗透率和粗糙度指数与平均粒径之间找到了可靠的关系。最后,可以看出,粗度指数和平均粒度可用于评估冲击钻进操作中的穿透率。

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