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测井信息在前陆挤压区地应力分析中的应用
引用本文:赵军,蒲万丽,王贵文,李军.测井信息在前陆挤压区地应力分析中的应用[J].地质力学学报,2005,11(1):53-59.
作者姓名:赵军  蒲万丽  王贵文  李军
作者单位:1. 中国石油天然气股份有限公司塔里木油田分公司,新疆,库尔勒,841000
2. 石油大学地球科学系,北京,102249
3. 江汉石油学院地球物理系,湖北,荆州,434102
摘    要:中国西部前陆盆地主要以挤压构造应力为主,地表与地下构造异常复杂。在油气的勘探与开发过程中既需要精细的地应力研究与预测,也需要简单易行、经济实用的近似方法。本文通过对稳定构造地区与挤压构造区地球物理测井信息的深度域特征进行分析和对比,提出了一种基于测井信息来计算最大岩石主应力的统计模型法。应用该方法对塔里木盆地库车山前挤压应力区进行了实际计算,其结果与实验结果相符。在此基础上对山前挤压区地应力与油气藏分布的关系进行了探索。

关 键 词:测井信息  挤压构造  地应力  统计模型  油气藏
文章编号:1006-6616(2005)01-0053-07
收稿时间:2004/4/9 0:00:00
修稿时间:2004年4月9日

APPLICATION OF LOGGING INFORMATION IN THE ANALYSIS OF THE GROUND STRESS IN THE FORELAND COMPRESSIVE AREA
ZHAO Jun,PU Wan-li,WANG Gui-wen and LI Jun.APPLICATION OF LOGGING INFORMATION IN THE ANALYSIS OF THE GROUND STRESS IN THE FORELAND COMPRESSIVE AREA[J].Journal of Geomechanics,2005,11(1):53-59.
Authors:ZHAO Jun  PU Wan-li  WANG Gui-wen and LI Jun
Institution:Tarim Oil Company, Petrochina, Korla Xinjiang 841000, China,Tarim Oil Company, Petrochina, Korla Xinjiang 841000, China,Department of Earth Sciences, University of Petroleum, Beijing 102249, China and Department of Geophysics, Jianghan Petroleum Institute, Jingzhou 434102, Hubei
Abstract:Compressive tectonic stress is the main stress in foreland basins in western China,where surface and subsurface structures are very complicated.Petroleum exploration and development call for not only the intensive study and prediction of ground stresses but also simple,economical and practical approximate methods.Through a comparative study of the distribution characteristics of the geophysical logging information in the structurally stable field and those in the structural compressive field,a statistical model for determining the maximum principal in-situ stress based on the logging information is proposed.This method is applied in the calculation of the stress in the Kuqa piedmont compressive area of the Tarim basin.The calculated result coincides with the result of the acoustic experiment.On that basis,the relationship between the ground stress distribution and the distribution of petroleum accumulations in piedmont compressive areas is studied.
Keywords:logging information  compressive structure  in-situ stress  statistical model  oil-gas
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