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首页> 外文期刊>The Indian mining & engineering journal >Development of Drilling Index for Energy Based Blast Design and Blast Optimisation for Surface Mines
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Development of Drilling Index for Energy Based Blast Design and Blast Optimisation for Surface Mines

机译：基于能量的爆破设计钻探指标的开发与地表矿山的爆破优化

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Drilling and blasting design is the most important aspect after rock characteristics and explosive properties, which completely influence degree of fragmentation and side effects of blasting. The established methods of blast design fail to generate good fragmentation, if geological discontinuities like hard and weak bands are hidden in the strata. The structural features of each stratum invariably vary from place to place. Heterogeneity and anisotropy of rock mass poses problems in determination of rock properties in the process of blasting optimisation. Therefore, a more dynamic and viable method, which considers the variation in rock strength is required to improve blast performance. This is best possible by adopting a technique that is based on the drilling data during production drilling, which is nothing but a clear scanning of the rock mass to be blasted. This method is popularly known as Monitoring While Drilling (MWD). MWD systems permit the recording and processing of important drilling parameters such as rotation speed and torque, penetration rate and pull down pressure/weight on the bit, and enable the operator to optimize drill performance. The drilling performance data can be correlated with specific charge used and the specific surface area developed after blasting. MWD systems on production drills in surface coal mines offer the potential to determine and characterise the bench geology in detail and in advance of charging. This methodology gives an idea of energy based approach to the blast design. Drilling is good system of sampling of rock properties of all parts of blasting face. This method is also relatively cheaper than any other techniques of rock mass characterisation. Therefore, determination of drilling index (Dl) was carried out based on the drilling data during production drilling to develop a logical model, which can correlate the drilling index with specific charge for optimisation of blasting rounds. This paper deals with the exercises undertook to achieve this objective in surface coal mines In Godavari Vally Coal fields in India. There are so many approaches available for open cast blast design. Most of the design methods consider static rock properties, diameter of blast hole and height of bench. However, no method takes into account drilling data for blast design, in spite of its numerous advantages. In order to make use of production drilling data for blast design, a drilling index was developed using drill hole diameter, rate of drilling, hydraulic down pressure and revolutions per minute. The drilling index was used for rock mass characterisation and nergy based approach of blast design for surface blasting. This index was correlated with specific charge used for the good production blasts. The field study was conducted at three different benches of a surface mine called Prakasham Khani Opencast (PKOC), SCCL. A relationship was established between drilling index and specific charge (SC) with a good correlation coefficient. The models help in design of specific charge vis-a-vis blast design of surface coalminesl These models were applied in the field for validation and got good results. The blast performance in all the trial blasts is assessed by measurement of fragmentation by digital image analysis software called FRAGALYST as well as WIPFRAG. These findings of the study clearly indicate that the drilling index developed by Monitoring While Drilling is the most real-time, dynamic and viable method, which considers the variations in rock strength for rock mass characterisation and optimum blast design.
机译：钻孔和爆破设计是岩石特征和爆炸性特性最重要的方面，完全影响破碎的碎裂和副作用。如果像硬质和弱频段隐藏在地层中的地质不连续性，所建立的爆炸设计方法都没有产生良好的碎片。每个层的结构特征从一个地方到另一个地方都不变化。岩体的异质性和各向异性在爆破优化过程中岩石性质测定的问题。因此，需要一种更具动态和可行的方法，其考虑岩石强度的变化来改善爆破性能。通过采用基于生产钻井期间的钻井数据的技术，这是最好的，这些技术只不过是岩石的清晰扫描被爆破。此方法在钻井（MWD）时普遍称为监控。 MWD系统允许记录和处理重要的钻孔参数，例如旋转速度和扭矩，穿透速率，并在钻头上拉压/重量，使操作员能够优化钻孔性能。钻井性能数据可以与所使用的特定电荷和爆破后开发的特定表面积相关联。地表煤矿生产钻头的MWD系统提供了详细和充电的细节确定和表征台状地质。该方法介绍了基于能量的爆炸设计方法。钻井是爆破面的所有部分的岩石性质采样的良好系统。这种方法也比岩石大规模表征的任何其他技术更便宜。因此，基于生产钻井期间的钻井数据进行钻井指数（DL）的确定，以开发逻辑模型，这可以将钻井指数与爆破圆形优化相关的钻井指数。本文涉及练习所承诺在印度戈达瓦里瓦莱煤田的地表煤矿中实现这一目标。有很多方法可用于开放式铸造爆炸设计。大多数设计方法考虑静态岩石属性，爆破孔直径和长凳高度。但是，尽管有许多优点，但没有任何方法考虑钻探数据的钻探数据。为了利用爆破设计的生产钻井数据，使用钻孔直径，钻孔率，液压下压力和每分钟转速进行钻井指数。钻探指数用于岩石质量表征和基于爆破设计的探讨方法。该指数与用于良好生产爆炸的特定电荷相关。该田间研究是在一个叫做Prakasham Khani Opencast（PKOC）的地表矿的三个不同长凳上进行的。在钻探指数和特定电荷（SC）之间建立了一种关系，具有良好的相关系数。模型帮助设计特定收费VIS-VIS-VIS爆炸设计这些型号的爆炸设计这些模型在该型号中应用了验证并获得了良好的效果。所有试验爆炸中的爆炸性能都是通过测量称为陷入困难的数字图像分析软件以及WIPFRAG的碎片来评估。这些研究结果清楚地表明，在钻井的同时通过监测开发的钻井指数是最实时，动态和可行的方法，这考虑了岩石质量表征和最佳爆破设计的岩石强度的变化。

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    P. Patel; M. Ramulu; G. Pradeep;

  • 作者单位

    CSIR-Central Institute of Mining &

    Fuel Research Research Centre Nagpur 440001;

    CSIR-Central Institute of Mining &

    Fuel Research Research Centre Nagpur 440001;

    CSIR-Central Institute of Mining &

    Fuel Research Research Centre Nagpur 440001;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 矿山开采;
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