岩石硬度

测井资料在岩石硬度预测中的应用

Study on application of rock hardness prediction with logging data

利用声波速度预测地层岩石硬度的试验研究

An experimental study on the prediction of formation rock hardness by using the acoustic velocity

钻孔偏斜、孔深、岩石硬度被公认为是影响钻探生产效率与成本的三大要素。

As we know , inclining drilling , the depth of drilling and rock hardness is three factors influencing drilling production efficiency and cost .

地震的震级和时机受断层大小，岩石硬度以及累积起的压力的多少控制。

Ex : Earthquake magnitude and timing are controlled by the size of a fault segment , the stiffness of the rocks , and the amount of accumulated stress .

分析结果表明：岩石硬度和牙轮微钻头可钻性级值与上返岩屑块度分维具有良好的相关性；

Relativity coefficient of fractal dimension is upward to 0.90 , The correlativity between rock rigidity , cone micro-bit drillability value and fragment fractal distribution of upward cuttings is excellent .

探讨了岩石硬度与测井参数间的关系，利用测井资料结合数学处理方法进行了岩石硬度预测方法研究。

In this paper , the relationship between rock hardness and logging parameters is discussed firstly , and the method for predicting rock hardness by combining logging data and mathematics is performed .

在此基础上，利用声波测井资料建立了岩石硬度预测模型，并对预测模型进行了检验和修正，使预测精度达到90%以上。

After the prediction model for rock hardness based on acoustic logging data is proposed , the prediction results are verified and modified for accuracy improvement of 90 % , meeting engineering requirement .

由于大庆油田深层具有地温梯度高、岩石硬度高、研磨性强等特点，目前大庆深井钻井技术与国内外先进水平相比，仍存在一定的差距。

In deep formations of Daqing oilfield , it has high geothermal gradient , high degree of hardness and abrasivity . Compared daqing deep well drilling technology with the international advanced level , there is great gap between them .

结合岩石硬度、强度和可钻性级值的实验结果，确定了岩石强度、硬度及可钻性与岩石分形维数的统计模型。

The correlation coefficient of fractal dimension is above 0.95.According to the experimental results of rigidity , intensity and drillability of rocks , a statistical model for combining rigidity , intensity and drillability of rocks with fractal dimension of fragment can be determined .

香港岩石的硬度与点荷载指标和强度的关系

Hardness and Point Load Indices , Strength of Hong Kong Rocks

结果表明：岩石压入硬度与声发射信号的积分RMS有最好的相关关系。

It is indicated that there is the best correlation between rock indentation hardness and integrated RMS of AE events .

有可能利用积分RMS这一参数来估价岩石压入硬度，并进一步预报岩石可钻性。

It is possible to use the parameter integrated RMS to assess rock indentation hardness and further to predict rock drillability .

为了查明岩石压入硬度与声发射参数如累计信号数、总能量、峰值RMS（信号均方根值）、积分RMS等之间的关系，在9种不同的岩石中进行了压入试验。

In order to explore the correlation of rock indentation hardness with acoustic emission parameters such as accumulated number of events , total energy , peak RMS and integrated RMS . nine different types of rocks were tested .

岩石压人硬度与声发射参数关系的研究

A study on correlation of rock indentation hardness with acoustic emission parameters

川西地区地层岩石致密、硬度大、可钻性差，机械钻速低，欠平衡钻井能有效提高机械钻速。

The formations of western Sichuan have poor drillability and low ROP for dense and hard rocks .

在BCM&Ⅲ型微机上，对其数据进行了数理统计，建立了以岩石压入硬度、研磨性和塑性系数为主因子的岩石可钻性预测方程，方程的预估精度达80%左右。

The regression equations between Vdm and the main properties of the rocks have been made up for predicting rock drillability in the light of these factors , having precision of about 80 % .

用VB程序求解岩石的压入硬度与塑性系数

Calculating Rock 's Indentation Hardness and Plastic Coefficient with VB Program

试验结果表明，声发射图象能够反映岩石压人破碎机理，并且岩石压人硬度与声发射信号峰值平均幅度及积分平均幅度有明显的相关关系。

The results of experiments indicate that AE signature may reflect the mechanism of rock indentation , and the indentation hardness of rocks is obviously correlated with the peak KMS and integral RMS of acoustic emission signals .

单因素预测模型中包括的主要岩石材料参数有岩石单轴抗压强度、抗拉强度及岩石的总硬度；

The single factor prediction model only utilizes one parameter of the rock material properties , such as rock uniaxial compressive strength , Brazilian tensile strength or the total hardness , to predict the TBM penetration rate .