Determination of the constant m_(i) in the Hoek-Brown criterion of rock based on drilling parameters

The constant m_(i) in the Hoek-Brown(H-B) criterion is a fundamental parameter required for determining the compressive strength of rock. In this paper, drilling parameters provide a new basis for determining the constant mi. An analytical relationship between the drilling parameters and constant miis established in consideration of the contact response between the drilling bit and the cut rock in the crushed zone.New models are developed to predict the triaxial compressive strength(TCS), internal friction angle φand cohesion c of rock. Drilling tests are carried out on 6 rock types to study the correlation between φ and m_(i). A comparison between the predicted values of rock mechanical properties and the measured values from the laboratory is performed to verify the accuracy of the proposed model(yielding an error less than 10%). The TCSs and constant m_(i) values of fifteen rocks are cited to validate the accuracy of the proposed model. The result shows that the proposed model predicts the TCS and constant m_(i) within a maximum error of 20%. The method can be conveniently applied to the rock mechanical properties.

Analysis of effects of operating parameters on rate of penetration in drilling process with air down-the-hole hammer

Air down-the-hole(DTH)hammer drilling has long been recognized to have the potential of drilling faster than conventional rotary drill,especially in some hard rocks such as granite,sandstone,limestone,dolomite,etc.with the same weight on bit(WOB)and rotations per minute(RPM).So,it has been widely used in many drilling fields including mineral resource exploration drilling,oil and gas drilling and geothermal drilling.In order to reduce drilling cost by selecting optimal drilling parameters,rate of penetration(ROP)should be estimated accurately and the effects of different factors on ROP should be analyzed.In this research,ANN model with several multi-layer perception back propagation(BP)networks for predicting ROP of air DTH hammer drilling was developed using controllable parameters such as impact energy,impact frequency,WOB,RPM and bit operating time for the formations with a certain drillability index of rock.Several BP neural networks with the different neurons in hidden layers were developed and compared for selecting optimal architecture of ANN.The effects of the drilling parameters such as impact energy,impacting frequency,WOB,RPM and bit operating time on the ROP of air DTH hammer drilling were investigated by trained ANN.From the analyses,the optimum range of drilling parameters for providing high ROP were determined and analyzed for a formation with a certain drillability index of rock.The methodology proposed in this study can be used in many mathematical problems for optimization of drilling process with air DTH hammer.

Application on drilling parameter monitor in drilling engineering monitoring

The drilling parameter monitor is an important tool in drilling engineering applied to monitoring drilling process,carrying out scientific analysis and decision--making.Based on discussing the present development situation of the domestic and foreign drilling machine parameter monitors,the metering scheme for vehicle--loaded drilling parameter monitor was designed.By using detection system for MSP430 single--chip microcomputer(SCM) in combination with peripheral circuit such as sensors,the drilling--rig control system was obtained to detect,and for every parameter in real--time display in order to keep operating the drilling rig status.The experiment shows that the drilling parameter monitor reaches design requirements and can be applied to drilling engineering monitoring,which has characters such as simple structure,high credibility and low cost.

Research on drilling parameters of engine-powered auger ice drill

Drilling operations in polar regions and mountainous areas are complicated by nature of the extreme environment. Yet conventional rotary drilling technologies can be used to drill ice for scientific samples and oth- er research. Due to such reasons as power consumption and weight complications, it is hard to apply a conven- tional rotary drilling rig for glacial exploration. Use of small, relatively lightweight, portable engine-powered drilling systems in which the drill lifting from the borehole is carried by the winch. It is reasonable enough for near-surface shallow ice-drilling down to 50 m. Such systems can be used for near-surface ablation-stakes in- stallation, also temperature measurements at the bottom of active strata layer, revealing of anthropogenie pollu- tion, etc. The specified used in this research is an auger ice drill powered by a gasoline engine. At this stage, it is crucial to choose effective drilling parameters such as weight on bit （WOB） and drill bit rotation rate. Sen- sors equipped on the rig have measured the main parameters of the drilling process, such as drill speed, WOB, drill rotation speed, torque and temperature. This paper addresses research on drilling parameters of engine powered auger ice drill and supplies some recommendations for optimization of any ice-core drilling process.

Discussion of reasonable drilling parameters in impregnated diamond bit drilling

The impregnated diamond(ID)bit drilling is one of the main rotary drilling methods in hard rock drilling and it is widely used in mineral exploration,oil and gas exploration,mining,and construction industries.In this study,the quadratic polynomial model in ID bit drilling process was proposed as a function of controllable mechanical operating parameters,such as weight on bit(WOB)and revolutions per minute(RPM).Also,artificial neural networks(ANN)model for predicting the rate of penetration(ROP)was developed using datasets acquired during the drilling operation.The relationships among mechanical operating parameters(WOB and RPM)and ROP in ID bit drilling were analyzed using estimated quadratic polynomial model and trained ANN model.The results show that ROP has an exponential relationship with WOB,whereas ROP has linear relationship with RPM.Finally,the optimal regime of mechanical drilling parameters to achieve high ROP was confirmed using proposed model in combination with rock breaking principal.

Testing method of rock structural plane using digital drilling

The rock mass consists of rock blocks and structural planes,which can reduce its integrity and strength.Therefore,accurately obtaining the characteristics of the rock mass structural plane is a prerequisite for evaluating stability and designing supports in underground engineering.Currently,there are no effective testing methods for the characteristic parameters of the rock mass structural plane in underground engineering.The paper presents the digital drilling technology as a new testing method of rock mass structural planes.Flawed rock specimens with cracks of varying widths and angles were used to simulate the rock mass structural planes,and the multifunctional rock mass digital drilling test system was employed to carry out the digital drilling tests.The analysis focuses on the variation laws of drilling parameters,such as drilling pressure and drilling torque,affected by the characteristics of prefabricated cracks,and clarifies the degradation mechanism of rock equivalent compressive strength.Additionally,an identification model for the characteristic parameters of rock mass structural planes during drilling is established.The test results indicate that the average difference of the characteristics of prefabricated cracks identified by the equivalent compressive strength is 2.45°and 0.82 mm,respectively.The identification model while drilling is verified to be correct due to the high identification accuracy.Based on this,a method for testing the characteristic parameters of the surrounding rock structural plane while drilling is proposed.The research offers a theoretical and methodological foundation for precise in situ identification of structural planes of the surrounding rock in underground engineering.

Stratigraphic identification using real-time drilling data

Identification of stratigraphic interfaces and lithology is a key aspect in geological and geotechnical investigations.In this study,a monitoring while-drilling system was developed,along with a corresponding data pre-processing method.The method can handle invalid drilling data generated during manual operations.The correlation between various drilling parameters was analyzed,and a database of stratigraphic interfaces and key lithology identification based on the monitoring parameters was established.The average drilling speed was found to be the most suitable parameter for stratigraphic and lithology identification,and when the average drilling speed varied over a wide range,it corresponded to a stratigraphic interface.The average drilling speeds in sandy mudstone and sandstone strata were in the ranges of 0.1e0.2 m/min and 0.2e0.29 m/min,respectively.The results obtained using the present method were consistent with geotechnical survey results.The proposed method can be used for realtime lithology identification and represents a novel approach for intelligent geotechnical surveying.

Measurement-while-drilling technique and its scope in design and prediction of rock blasting

With rampant growth and improvements in drilling technology, drilling of blast holes should no longer be viewed as an arduous sub-process in any mining or excavation process. Instead, it must be viewed as an important opportunity to quickly and accurately measure the geo-mechanical features of the rock mass on-site, much in advance of the downstream operations. It is well established that even the slightest variation in lithology, ground conditions, blast designs vis-a-vis geologic features and explosives performance, results in drastic changes in fragmentation results. Keeping in mind the importance of state-of-the-art measurement-while-drilling （MWD） technique, the current paper focuses on integrating this technique with the blasting operation in order to enhance the blasting designs and results. The paper presents a preliminary understanding of various blasting models, blastability and other related concepts, to review the state-of-the-art advancements and researches done in this area. In light of this, the paper highlights the future needs and implications on drill monitoring systems for improved information to enhnnrp th~ hl^tin~ r^HIt~

Development of a drill energy utilization index for aiding selection of drill machines in surface mines

Drill machines used in surface mines, particularly in coal, is characterized by a very poor utilization （around 40%） and low availability （around 60%）. The main purpose of this study is to develop a drill selec- tion methodology and simultaneously a performance evaluation technique based on drill cuttings produced and drilling rate achieved. In all 28 blast drilled through were investigated. The drilling was accomplished by 5 different drill machines of Ingersoll-Rand and Revathi working in coal mines of Sonepur Bazari （SECL） and Block-II （BCCL）. The drills are Rotary and Rotary Percussive type using tri- cone rock roller bits. Drill cuttings were collected and sieve analysis was done in the laboratory. Using Rosin Ramler Diagram, coarseness index （CI）, mean chip size （d）, specific-st trace area （SSA） and charac- teristic particle size distribution curves for all the holes drilled were plotted. The predictor equation for drill penetration rate established through multiple regressions was found to have a very good correlation with an index of determination of 0.85. A comparative analysis of particle size distribution curves was used to evaluate the drill efficiency. The suggested approach utilises the area under the curve, after the point of trend reversal and brittleness ratio of the respective bench to arrive at drill energy utilization index （DEUI）, for mapping of drill machine to bench, The developed DEU1 can aid in selecting or mapping a right machine to right bench for achieving higher penetration rate and utilizations.

定向钻孔群轨迹三维呈现方法及软件开发

为加强煤矿地质直观展示方式,实现对煤矿井下钻孔群的可视化展现和辅助数据分析,探讨了定向钻孔群轨迹三维可视化呈现技术的主要实现步骤,阐述了各步骤中的核心方法和关键技术;设计了定向钻孔群轨迹三维可视化呈现软件并展示了其主要功能、数据流、逻辑框图等,基于C#和WPF编程开发了对应软件并展示了部分三维可视化效果。

基于SolidWorks二次开发技术的麻花钻参数化设计系统研究

提出了基于SolidWorks软件、调用API对象进行二次开发,实现麻花钻三维参数化设计的思路,介绍了在Visual Basic编程环境下进行二次开发的具体过程和关键技术。该方法可解决麻花钻前刀面、后刀面、排屑槽、切削刃带等复杂空间曲面的参数化建模难题,提高设计效率,并为麻花钻的进一步开发提供参考。

基于UG的麻花钻三维实体参数化设计

为了解决麻花钻的参数化设计问题,根据麻花钻钻刃的数学模型,利用UG软件建立麻花钻的三维实体模型,再利用UG的二次开发功能开发出直柄标准麻花钻和锥柄标准麻花钻的三维实体参数化自动生成系统.将麻花钻三维实体建模过程和二次开发的程序导入UG软件运行,可简便地生成不同参数下的各种标准麻花钻三维实体模型.系统运行简单可靠,可为麻花钻设计、加工提供依据.

浅孔钻三维参数化CAD系统开发与研究

以Visual C++6.0为编程工具,SQL Server2000为数据库平台,Pro/E Wildfire为三维实体建模软件,MATLAB6.0为数学计算软件;开发和探讨了面向对象的可转位浅孔钻三维参数化CAD系统。该系统可根据使用要求计算出刀体上刀片槽最佳的空间位置与刀片的几何参数并输出可转位浅孔钻的三维装配图与各零部件的三维实体图与二维工程图。

牙轮钻机回转机构的虚拟装配与运动仿真

文中介绍了基于Mechanism的机构运动仿真的基本工作流程,对Pro/E进行二次开发,实现了高变位齿轮的参数化三维实体设计,通过机构的运动仿真,动态观看机构的啮合和运动情况,测试机构的有关运动性能的参数,有利于机构优化和提高设计效率,可以构成机构的虚拟设计、制造及仿真分析的平台。

基于参数化设计的麻花钻头及其仿真验证

分析了麻花钻头的加工过程,对钻头螺旋槽的成型过程中的主要参数进行了介绍。重点对钻头加工中的正问题进行研究,即对给定砂轮截面型线计算螺旋槽的端面型线,并建立了坐标系与刀片曲线的坐标方程,给出了曲线方程的详细求解过程。最后将本文的设计结果与商业软件模拟结果进行对比,结果表明在设计的线形上基本一致,细微的差别,主要是导向角不同而引起的。

基于ANSYS的汽油钻钻头有限元分析

利用CAD/CAE集成的方法完成了汽油钻钻头的CAD建模及有限元分析。首先以Pro/E为平台建立了钻头的三维参数化模型,经过模型简化以及对有限元的前处理,把所建立的三维CAD模型转化为有限元模型,并利用ANSYS对其进行有限元分析,为钻头的开发和优化设计提供了一定的参考依据。

深孔钻头的受力及其数值模拟分析

利用CAD/CAE集成的方法完成了深孔钻头的CAD建模及其数值模拟分析。分析结果表明,应用ANSYS可精确地掌握深孔钻头上各节点的受力情况,确定深孔钻头内部应力应变的分布规律,从而为改进深孔钻头受力状况和结构设计提供理论依据。

PDC钻头三维参数化布齿设计

文章在PRO/E中建立了PDC钻头和切削齿三维参数化实体模型;并编写相应的计算机程序,进行验证。为PDC钻头精确布齿设计打下了基础。

CSD1800ZD型自动化岩心钻机的应用与分析

CSD1800ZD型自动化岩心钻机配置了钻进参数自动检测和控制系统,以及自动移摆管系统等,实现了钻进过程自动化和信息化,提高了钻进效率。该钻机2019年下半年在山东省平度市山旺-上马台矿区进行了施工应用,作为自动化岩心钻机其在钻进性能、使用便捷、自动化等方面表现出了很多优势。本文并就施工应用的数据和现场反馈情况进行了分析总结。

基于BIM的海洋模块钻井平台参数化建模技术研究

根据海洋钻井平台特点对快速建模、模型轻量化处理及碰撞审核进行分析,并对模型后续施工建模及漫游优化,以满足现场制作及工装要求。