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用声波速度预测岩石单轴抗压强度的试验研究
引用本文:燕静,李祖奎,李春城,赵秀菊,翟应虎,王克雄.用声波速度预测岩石单轴抗压强度的试验研究[J].西南石油大学学报(社会科学版),2016,21(2):13.
作者姓名:燕静  李祖奎  李春城  赵秀菊  翟应虎  王克雄
作者单位:1.胜利石油管理局钻井工艺研究院,山东 东营 257017; 2.石油大学(北京)
摘    要:声波速度是一项较好反映地层岩石综合物理性质的声学指标,被广泛应用于石油勘探开发工程的各个专业技术领域。在扼要叙述室内测定岩石声波速度、单轴抗压强度试验方法的基础上,重点介绍了利用回归分析方法,研究声波速度与岩石单轴抗压强度相关关系、地面声波速度与井下测井声波速度相关关系的数据分析处理过程和获取的定性定量结论。在综合分析研究的基础上,介绍了以方便现场工程应用为目的所建立的利用测井声波速度预测岩石单轴抗压强度的数学模型及其预测剖面。作为一项试验研究的专题内容,在文章的结论部分阐述了对该项研究成果的应用前景。

关 键 词:声波速度    岩石    抗压强度    预测    实验数据
收稿时间:1998-09-01

EXPERIMENTAL STUDY ON ROCK UNIAXIAL COMPRESSION STRENGTH PREDICTION BY USING ACOUSTIC VELOCITY
Yan Jing Li Zu-kui Li Chun-cheng Zhao Xiu-ju Zhai Ying-hu Wang Ke-xiong.EXPERIMENTAL STUDY ON ROCK UNIAXIAL COMPRESSION STRENGTH PREDICTION BY USING ACOUSTIC VELOCITY[J].Journal of Southwest Petroleum University(Social Sciences Edition),2016,21(2):13.
Authors:Yan Jing Li Zu-kui Li Chun-cheng Zhao Xiu-ju Zhai Ying-hu Wang Ke-xiong
Institution:Sheng Li Petroleum Administrative Bureau
Abstract:Since the acoustic velocity is an acoustic index that can reflect the comprehension physical properties of formation rock in fairly good condition, it is widely used in all the technical fields of oil exploration and development. In this paper, the methods of the rock acoustic velocities and the uniaxial compression strength measurement in the laboratory are introduced briefly. And the studies of the correlation the acoustic velocity with uniaxial compression strength of rocks and the surface acoustic velocity with logging acoustic velocity by regression analysis, their data analysis procedure and their qualitative-quantitative conclusions are discussed deeply. Based on comprehensive analysis, the paper describes the mathematical models and their prediction profiles that are established for field to predict uniaxial compression strength of rocks by means of acoustic velocities from logging. As a content of an experimental study, the application prospect of this research result is also presented in the conclusions.
Keywords:acoustic velocity                                                                                                                        rock                                                                                                                        compression strength prediction                                                                                                                        Experimental data
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