In order to evaluate the rock mechanics characteristics of conglomerate formation,rock samples have been carried out to get static rock mechanical parameters, like Young's modulus, Poisson's ratio, compressive strength and tensile strength by triaxial compression test and Brazil Disk Split test. The test results and matched log-ging data have been analyzed after standardizing well logging curves and restoring rock samples depth. The rock mechanical parameters were plotted versus compressional slowness and volume density logging data to explore the correlations. The log prediction models were established by mathematical statistics. On this basis, the rock me-chanical parameters were calculated by logging data, which have been used for evaluating caving pressure and breakdown pressure together with in-situ stresses and the formation pore pressure. Compared with the practical drill-ing and fracturing engineering data,the model's calculation results are correct and reliable.%为评价某地区砾岩岩石力学特性,取岩心开展三轴压缩、巴西劈裂等力学试验,获取杨氏模量、泊松比、抗压强度和抗张强度等静态岩石力学参数.对试验数据进行深度归位,经测井曲线标准化等预处理后,使岩心岩石力学参数与测井数据匹配,将纵波时差、体积密度等测井数据与岩石力学参数进行数理统计法拟合,构建岩石力学参数的测井预测模型.根据模型计算得到的岩石力学参数,结合地应力、地层孔隙压力资料,计算地层坍塌压力、破裂压力等井壁稳定性评价参数.与实际的钻井和压裂工程的资料对比表明,基于试验数据构建的岩石力学参数模型较为合理,对研究区块砾岩地层具有良好的适应性.
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