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1.
近年来,软计算技术被用作替代的统计工具。如人工神经网络(ANN)被用于开发预测模型来估计所需的参数。在本研究中,通过利用冲击钻进过程中的一些钻进参数(气压、推力、钻头直径、穿透率)和所产生的声级,建立了预测岩石性质的神经网络模型。在实验室中所产生的数据,用于开发预测岩石特性(如单轴抗压强度、耐磨性、抗拉强度和施密特回弹数)的神经网络模型,并使用各种预测性能指标对所建模型进行检验,结果表明人工神经网络模型适用于岩石性质的预测。  相似文献   

2.
The process of drilling, in general, always produces sound. Though sound is used as a diagnostic tool in mechanical industry, its application in predicting rock property is not much explored. In this study, an attempt has been made to estimate rock properties such as uniaxial compressive strength, Schmidt rebound number and Young's modulus using sound level produced during rotary drilling. For this purpose, a computer numerical controlled vertical milling centre was used for drilling holes with drill bit diameters ranging from 6 to 20 mm with a shank length of 40 mm. Fourteen different rock types were tested. The study was carried out to develop the empirical relations using multiple regression analysis between sound level produced during drilling and rock properties considering the effects of drill bit diameter, drill bit speed and drill bit penetration rate. The F-test was used to check the validity of the developed models. The measured rock property values and the values calculated from the developed regression model are fairly close, indicating that the developed models could be efficiently used with acceptable accuracy in prediction of rock properties.  相似文献   

3.
The main purpose of the study is to develop a general prediction model and to investigate the relationships between sound level produced during drilling and physical properties such as uniaxial compressive strength, tensile strength and percentage porosity of sedimentary rocks. The results were evaluated using the multiple regression analysis taking into account the interaction effects of various predictor variables. Predictor variables selected for the multiple regression model are drill bit diameter, drill bit speed, penetration rate and equivalent sound level produced during rotary drilling (L eq). The constructed models were checked using various prediction performance indices. Consequently, it is possible to say that the constructed models can be used for practical purposes.  相似文献   

4.
钻机钻进过程中钻头旋转产生的扭矩以及作用于钻头的轴推进力是破碎岩石的能量来源,当钻进条件确定时,可用破碎单位体积岩石的实际能耗来反映岩石的物理力学性质。基于此原理在青岛胶州湾海底隧道FK4+375.5的上断面进行了超前地质探孔作业,得到凝灰岩地层中的钻进参数及钻进能量随钻头位移的变化曲线,并利用能量理论对钻进过程中监测的钻机参数进行分析,研究发现:在凝灰岩中,数字钻机参数与围岩岩性响应程度较高,围岩完整、坚硬、无裂隙水时,整体钻进参数值较高;围岩裂隙发育、含水或有断层、夹泥层时,钻进速度、推进力、转速、扭矩、打击能等数据会突变,其值变小。分析所得结果与钻孔取芯、TSP超前预报等物探手段得到的结果基本一致。并采用能量法对围岩进行分析,利用钻进比能划分相应的岩体区段,判断出围岩等级。通过对能量曲线的分析发现,在凝灰岩地层中,当钻进能量小于0.95 kJ时会出现断层或较大的节理裂隙区。  相似文献   

5.
This paper presents a numerical method for continuum modelling of the dynamic bit–rock interaction process in percussive drilling. The method includes a constitutive model based on a combination of the recent viscoplastic consistency model, the isotropic damage concept and a parabolic compression cap. The interaction between the drill bit and rock is modelled using contact mechanics by treating the bit as a rigid body. As the bit–rock interaction in percussive drilling is a transient event, the method is implemented in explicit dynamics FEM. The rock strength heterogeneity is characterized at the mesoscopic level statistically using the Weibull distribution. The bit–rock interaction is simulated under axisymmetric conditions using cylindrical and hemispherical buttons. The choice of the quite complex constitutive model accounting, e.g. for plastic compaction, viscoplastic shear and tensile failure along with induced damage and rate dependency is justified by numerical simulations. Moreover, the quasi‐static and dynamic cases are compared in plane strain simulations. Finally, some results clarifying the discrepancy of opinions found in the literature concerning the side (lateral) crack formation are obtained. Copyright © 2010 John Wiley & Sons, Ltd.  相似文献   

6.
地质钻探工程是个复杂的系统工程,金刚石钻头设计是个复杂的系统。俄罗斯技术科学博士Скоромных В. В.教授等使用系统论方法设计表镶金刚石钻头,以机械钻速为目标函数,以钻头切入岩石深度为切入点,建立了相关的数学模型,编制了程序,进行了计算机模拟,可以比较直观地看到金刚石在孔底的工作情况和钻头破碎岩石的过程,对于深入研究孔底岩石破碎过程机理和判断金刚石钻头设计的合理性及其对钻探技术经济指标的作用,具有一定的实际意义。  相似文献   

7.
This paper demonstrates the applicability of cognitive systems or neural networks in predicting the drillibality of rocks and wear factor using engineering properties of rocks. Drillability of rocks is a useful guide for evaluating the suitability of drills for different ground operations. The wear factor of different materials subsequently helps in the selection of proper drills for different drilling operations. Different rocks were tested for Protodyakonov index, impact strength index, shore hardness number, Schmidt hammer number, drillability and micro bit chisels for wear factor. The data obtained from the tests were used to train and test the neural network. Results from the analysis demonstrate that cognitive systems are an effective tool in the prediction and suitability of drilling operations. Application of these predictive models can be a useful tool to obtain the value of these important parameters, they can save time and help to avoid the tedious process of instrumentation.  相似文献   

8.
结合承德M24矿区深孔钻探工程,对钻进参数的选择情况进行了分析。分析认为,深孔钻进中,钻进压力的选择要综合考虑钻进的口径大小,岩石的硬度、强度、研磨性、完整性;在一定范围内,金刚石钻头的钻速和转速成正比例关系;冲冼液的选择应根据钻头类型与规格,胎体性能,钻孔深度,岩石研磨性、完整程度等来选择;适当扩大金刚石钻头的外径尺寸,能有效地避免高泵压的危害;可通过观察钻机主电机的电流指示表数值变化,判断孔内钻杆工况,电流的变化反映出钻机回转扭矩的变化。  相似文献   

9.
近年来,南海西部海域部分油田的下第三系地层机械钻速较慢,严重影响了勘探开发进度,为了降低钻井成本,增加钻井时效,必须掌握该海域难钻地层的特征及破碎机制。首先开展了岩屑矿物组分测定,结合录井资料,掌握了南海西部海域难钻地层的岩性特征。在对难钻地层的破坏强度、硬度、塑性系数、可钻性、研磨性等相关参数室内试验的基础上,建立了该地层岩石力学参数的预测模型,并基于30口测井的资料建立了难钻地层抗钻特性剖面和南海西部海域三维可钻性剖面,揭示了区域难钻地层的分布情况及抗钻特性;为解决难钻地层的工艺技术难题,还进行了难钻地层PDC钻头的破岩机制试验研究,研究了PDC钻头牙齿齿形、钻压和转速对破岩效率的影响。研究发现:北部湾盆地建议提高钻头的攻击性,并采用高转速的动力钻具复合钻进方式;珠江口盆地应提高钻头复合片的耐磨性,采用较高钻压和合理顶驱转速,为更好地控制钻井成本和提高钻井综合经济效益提供技术指导。  相似文献   

10.
The Cerchar abrasivity index (CAI) is one of the most widely known index method for identification of rock abrasivity. It is a simple and fast testing method providing reliable information on rock abrasiveness. In this study, the relationships between the CAI and some rock properties such as uniaxial compressive strength (UCS), point load strength, Brazilian tensile strength and Schmidt rebound hardness, and equivalent quartz content (EQC) are examined. The relationships between the CAI and drill bit lifetime is also investigated and the type of drill bit wear observed is mentioned. Additionally, the CAI is modeled using simple and multiple linear regression analysis based on the rock properties. Drill bit lifetime is also modeled based on the CAI. The results show that the CAI increases with the increase of the UCS, point load strength, Brazilian tensile strength, L-type and N-type Schmidt rebound hardness, and the EQC. It is concluded that the higher and the lower bit lifetime are obtained for marl and andesitic-basaltic formation, respectively. Moreover, flushing holes, inserted button, button removal, and failures of button on the bits are determined as the type of drill bit wear. The modeling results show that the models based on the UCS and the EQC give the better forecasting performances for the CAI.  相似文献   

11.
Accurate laboratory measurement of geo-engineering properties of intact rock including uniaxial compressive strength (UCS) and modulus of elasticity (E) involves high costs and a substantial amount of time. For this reason, it is of great necessity to develop some relationships and models for estimating these parameters in rock engineering. The present study was conducted to forecast UCS and E in the sedimentary rocks using artificial neural networks (ANNs) and multivariable regression analysis (MLR). For this purpose, a total of 196 rock samples from four rock types (i.e., sandstone, conglomerate, limestone, and marl) were cored and subjected to comprehensive laboratory tests. To develop the predictive models, physical properties of studied rocks such as P wave velocity (Vp), dry density (γd), porosity, and water absorption (Ab) were considered as model inputs, while UCS and E were the output parameters. We evaluated the performance of MLR and ANN models by calculating correlation coefficient (R), mean absolute error (MAE), and root-mean-square error (RMSE) indices. The comparison of the obtained results revealed that ANN outperforms MLR when predicting the UCS and E.  相似文献   

12.
Estimation of Elastic Modulus of Intact Rocks by Artificial Neural Network   总被引:2,自引:0,他引:2  
The modulus of elasticity of intact rock (E i) is an important rock property that is used as an input parameter in the design stage of engineering projects such as dams, slopes, foundations, tunnel constructions and mining excavations. However, it is sometimes difficult to determine the modulus of elasticity in laboratory tests because high-quality cores are required. For this reason, various methods for predicting E i have been popular research topics in recently published literature. In this study, the relationships between the uniaxial compressive strength, unit weight (γ) and E i for different types of rocks were analyzed, employing an artificial neural network and 195 data obtained from laboratory tests carried out on cores obtained from drilling holes within the area of three metro lines in Istanbul, Turkey. Software was developed in Java language using Weka class libraries for the study. To determine the prediction capacity of the proposed technique, the root-mean-square error and the root relative squared error indices were calculated as 0.191 and 92.587, respectively. Both coefficients indicate that the prediction capacity of the study is high for practical use.  相似文献   

13.
金刚石-硬质合金复合齿钻头在卵砾石地层中的应用   总被引:1,自引:0,他引:1  
研制的人造金刚石单晶与WC-Co硬质合金复合球齿钻头,具有高耐磨性、高硬度、高冲击韧性,其超硬复合部分在钻进大硬度的卵砾石地层时,能象孕镶金刚石钻头那样切削岩石。野外钻进试验表明,复合齿钻头和普通合金钻头相比,回次进尺提高 1倍以上,小时效率提高 1.5倍以上,平均寿命增加 2.5倍以上,而每m进尺钻头成本降低了35%。   相似文献   

14.
杨展 《地质与勘探》2024,60(2):407-413
孕镶金刚石钻头通过钻头胎体的持续磨损实现金刚石的自锐和高效破岩。因此,研究金刚石钻头磨损的影响因素及其影响程度和影响机理,对孕镶金刚石钻头的设计和使用非常重要。本次研究探讨了岩石物理力学性质、钻头胎体性能和钻进工艺参数等因素对孕镶金刚石钻头磨损过程和磨损机理的影响。分析表明,对钻头磨损最为显著的影响因素是岩石中的硬质颗粒导致的磨粒磨损,其次是钻头胎体与岩粉之间的粘着磨损,以及冲洗液中岩粉颗粒导致的冲蚀磨损。在此基础上,以不同硬度的钻头胎体摩擦磨损试验结果为例,探讨了钻头胎体性能及其内部硬质点对钻头磨损的影响机理。该研究成果可为科学设计与合理使用孕镶金刚石钻头提供依据。  相似文献   

15.
干热岩具有硬度大、研磨性弱、可钻性差和钻进难度大等特点,常规孕镶金刚石钻头钻进时打滑严重、寿命短。针对此技术难题,根据干热岩岩性和设计的井身结构特点,引入仿生高效耐磨技术,以穿山甲爪趾为仿生原型,结合孕镶金刚石钻头的结构和制备工艺方法,研制了与该类地层相对应的仿生异型齿钻头。在青海共和县干热岩现场的钻进试验结果表明:仿生异型齿钻头未出现打滑现象,相比于打滑不严重的常规软胎体孕镶金刚石钻头,仿生异型齿钻头的钻进速度提高97.5%,寿命(仿生钻头寿命为推算寿命)提高1.268倍。进一步证明了仿生异型齿钻头在坚硬打滑的干热岩地层中钻进能够提高效率、缩短钻井周期、节约钻井成本。  相似文献   

16.
深部探测金川预导孔深孔钻探钻头的应用与分析   总被引:1,自引:1,他引:0       下载免费PDF全文
在深部探测和科学钻探的施工中,钻头的合理选择和使用是提高深孔硬、脆、碎岩层钻探生产效率的最重要因素之一。针对金川科学钻探深部钻进中的特殊地层岩石进行分析,利用扫描电镜研究钻头中金刚石的分布、包镶和出刃,找出合适的钻头胎体材料和金刚石工艺参数,延长钻头寿命,提高钻探效率。  相似文献   

17.
凸包型仿生耦合金刚石钻头模拟分析   总被引:1,自引:0,他引:1       下载免费PDF全文
研究发现仿生耦合钻头较普通钻头钻进时效提高很多。仿生耦合钻头一方面能使钻头唇面有较高的比压;另一方面能使钻头具有很好的冷却效果,因此在钻探工程中有很好的应用前景。应用数值模拟软件ansys,模拟分析了凸包型非光滑表面对金刚石钻头性能的影响。对比分析了4种不同非光滑度状况下,钻头在一定的钻压作用下在岩石表面产生滑动摩擦的过程。主要分析了该过程中岩层的等效应力、钻头底唇面的接触摩擦应力和接触压力的变化规律。研究发现,凸包型非光滑表面在一定程度上可以提高钻头的使用寿命和钻进效率。  相似文献   

18.
苏州马环连接线强风化安山玢岩地质勘察钻探技术   总被引:1,自引:1,他引:0  
强风化岩体裂隙节理发育,风化程度不均,岩石强度软弱不均,为提高钻进效率,改常规的复合片钻头为孕镶金刚石钻头,使钻进时以研磨岩石方式改为切削岩石方式;为提高岩心采取率,保护取心钻具内强风化岩心及防止钻具内岩心段间相互研磨,改单管钻具为单动双管钻具,采用相对优质泥浆进行护壁,预防钻进及提下钻时的卡钻。  相似文献   

19.
Electro-hydraulic and jumbo drills are commonly used for underground coal mines and tunnel drives for the purpose of blasthole drilling and rock bolt installations. Not only machine parameters but also environmental conditions have significant effects on drilling. This study characterizes the performance of button bits during blasthole drilling in coal measure rocks by using multiple regression analyses. The penetration rate of jumbo and electro-hydraulic drills was measured in the field by employing bits in different diameters and the specific energy of the drilling was calculated at various locations, including highway tunnels and underground roadways of coal mines. Large block samples were collected from each location at which in situ drilling measurements were performed. Then, the effects of rock properties and machine parameters on the drilling performance were examined. Multiple regression models were developed for the prediction of the specific energy of the drilling and the penetration rate. The results revealed that hole area, impact (blow) energy, blows per minute of the piston within the drill, and some rock properties, such as the uniaxial compressive strength (UCS) and the drilling rate index (DRI), influence the drill performance.  相似文献   

20.
煤系钻探岩石可钻性分级方法的研究   总被引:3,自引:0,他引:3  
研究了煤系中采用硬质合金钻进工艺时岩石可钻性分级的指标体系及测试方法;研制了一套能在野外流动条件下进行岩石可钻性分级测试的轻便仪器及工具。在7项分级指标体系中,压入强度、研磨性、塑性系数和用微型针状硬质合金钻头测试“微钻钻速”是首次应用,尤以用小试样测试“压入强度”及用微型针状硬质合金钻头测试“微钻钻进速度”两项指标能有效地反映煤系软岩石分级档次,可以弥补用微型孕镶金刚石钻头在6级以下较软岩石中无法钻进或达不到钻进指标的不足。  相似文献   

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