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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
基于岩渣形貌及岩石磨蚀性的钻井法凿井滚刀磨损评估方法
  • Title

    Wear evaluation method of drilling shaft sinking hob based on rock slag morphology and rock abrasiveness

  • 作者

    程桦谢鲍姚直书荣传新林键

  • Author

    CHENG Hua;XIE Bao;YAO Zhishu;RONG Chuanxin;LIN Jian

  • 单位

    安徽理工大学 土木建筑学院安徽大学 资源与环境工程学院安徽建筑大学 安徽省岩土工程智能建造与灾变防控重点实验室

  • Organization
    School of Civil Engineering and Architecture, Anhui University of Science and Technology
    School of Resource and Environmental Engineering, Anhui University
    Anhui Province Key Laboratory of Intelligent Geotechnics and Disaster Prevention, Anhui Jianzhu University
  • 摘要

    针对西部地区侏罗系地层钻井法施工深大立井滚刀磨损严重问题,以西部某煤矿北一回风井钻井法凿井工程为研究对象,提出一种钻井法凿井滚刀磨损评估方法。首先,基于现场调研分析不同地层滚刀磨损程度及磨损分布特征,并提出相关量化指标;其次,对竖井钻机岩渣开展现场预处理,采用图像识别方法进行后处理,统计分析了岩渣几何形貌,并使用类指数分布函数描述其累积分布规律;此后,以皮尔逊系数为相关性评价指标探究了岩渣颗粒分布及矿物成分对滚刀磨损指标的影响,阐明了西部地区钻井法凿井滚刀易磨损致因;最后,基于相关性分析方法,选取若干主要影响参数,使用非线性拟合工具给出了针对不同岩层的滚刀磨损指标预测公式,并提出现场更换滚刀的评估方法。结果表明:钻井法凿井滚刀磨损与岩层地质条件密切相关,不同地层单位进尺消耗滚刀数量依次为:泥质胶结泥性地层 > 钙质胶结泥、砂互层地层≈钙质、铁质胶结砂性地层 > 极弱胶结砂性地层,西部钻井法凿井刀盘深磨区易集中于b、c、d刀圈,而中心刀及其附近区域多为浅磨区;岩渣几何形貌统计特征可间接反映不同地层单位进尺滚刀磨损程度,西部地区砂系、泥系地层岩渣粒径分布符合类指数函数,相关系数R2为0.976~0.997,根据拟合函数得到的岩渣均匀系数与磨损均匀性指标相关性最高,泥性地层及泥、砂互层地层滚刀磨损加剧的原因可归结为岩渣泥化、砂化;以岩渣圆度分布的箱宽、大颗粒占比、均匀系数、岩石磨蚀性指数为滚刀磨损主要表征参数,得到适用于不同地层的滚刀磨损预测模型,与现场实测对比,模型预测成功率达90.9%;提出的滚刀磨损评估方法可为现场提钻换刀决策提供有益参考。

  • Abstract

    Aiming at the serious wear problem of hob in deep and large vertical shaft constructed by drilling method in Jurassic strata in western China, a method for evaluating the wear of hob in drilling method is put forward, taking the drilling method of sinking shaft in a coal mine in the west as the research object. Firstly, based on field investigation, the wear degree and wear distribution characteristics of hob in different strata are analyzed, and relevant quantitative indexes are put forward. Secondly, the rock slag of shaft drilling rig is pretreated on site, and the image recognition method is used for post-processing, and the geometric morphology of rock slag is statistically analyzed, and its cumulative distribution law is described by exponential distribution function. Then, taking Pearson coefficient as the correlation evaluation index, the influence of rock slag particle distribution and mineral composition on hob wear index is explored, and the causes of easy wear of drilling shaft sinking hob in western China are expounded. Finally, based on the correlation analysis method, several main influencing parameters are selected, and the prediction formula of hob wear index for different rock strata is developed by using nonlinear fitting tools, and the evaluation method of replacing hob on site is put forward. The results show that: the wear of drilling hob is closely related to the geological conditions of rock strata, and the number of hob consumed per unit footage in different strata is in the order of argillaceous cemented muddy stratum > calcareous cemented mud, sand interbedded stratum ≈ calcareous and iron cemented sandy stratum > extremely weak cemented sandy stratum; The deep grinding area of shaft sinking cutterhead in western drilling method is easy to concentrate on B, C and D cutter rings, while the center cutter and its vicinity are mostly shallow grinding areas; The statistical characteristics of geometric morphology of rock slag can indirectly reflect the wear degree of hob in different strata; The particle size distribution of sand and mudstone strata in western China conforms to exponential function, and the correlation coefficient R2 is 0.976~0.997. The uniformity coefficient of slag obtained according to the fitting function has the highest correlation with the wear uniformity index. The reasons for the increase of hob wear in muddy strata and mud-sand interbedded strata can be attributed to mud and sand of rock slag; Taking the box width, the proportion of large particles, the uniformity coefficient and the rock abrasiveness index of the roundness distribution of rock slag as the main characterization parameters, a hob wear prediction model suitable for different strata is obtained. Compared with the field measurement, the prediction success rate of the model is 90.9%; The proposed evaluation method of hob wear can provide a useful reference for the decision-making of lifting and changing tools on the spot.

  • 关键词

    钻井法凿井岩渣颗粒分布矿物成分滚刀磨损评估方法

  • KeyWords

    shaft sinking by drilling method;particle distribution of rock slag;mineral composition;hob wear;appraisal procedure

  • 基金项目(Foundation)
    国家自然科学基金资助项目(52174104);国家自然科学基金青年基金资助项目(52304073)
  • DOI
  • 引用格式
    程桦,谢鲍,姚直书,等. 基于岩渣形貌及岩石磨蚀性的钻井法凿井滚刀磨损评估方法[J]. 煤炭学报,2025,50(1):115−131.
  • Citation
    CHENG Hua,XIE Bao,YAO Zhishu,et al. Wear evaluation method of drilling shaft sinking hob based on rock slag morphology and rock abrasiveness[J]. Journal of China Coal Society,2025,50(1):115−131.
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