...
首页> 外文期刊>Arabian Journal of Geosciences >Regularity analysis applied to sonic logs data: a case study from KTB borehole site
【24h】

Regularity analysis applied to sonic logs data: a case study from KTB borehole site

机译:将规律性分析应用于声波测井数据:来自KTB钻孔现场的案例研究

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Borehole logs provide in situ information about the fluctuations of petrophysical properties with depth and thus allow the characterization of the crustal heterogeneities. A detailed investigation of these measurements may lead to extract features of the geological media. In this study, we suggest a regularity analysis based on the continuous wavelet transform to examine sonic logs data. The description of the local behavior of the logs at each depth is carried out using the local Hurst exponent estimated by two (02) approaches: the local wavelet approach and the average–local wavelet approach. Firstly, a synthetic log, generated using the random midpoints displacement algorithm, is processed by the regularity analysis. The obtained Hurst curves allowed the discernment of the different layers composing the simulated geological model. Next, this analysis is extended to real sonic logs data recorded at the Kontinentales Tiefbohrprogramm (KTB) pilot borehole (Continental Deep Drilling Program, Germany). The results show a significant correlation between the estimated Hurst exponents and the lithological discontinuities crossed by the well. Hence, the Hurst exponent can be used as a tool to characterize underground heterogeneities.
机译:钻孔测井提供了有关岩石物性随深度波动的原位信息,因此可以表征地壳的非均质性。这些测量的详细调查可能会导致提取地质介质的特征。在这项研究中,我们建议基于连续小波变换的规律性分析以检查声波测井数据。使用两个(02)方法估计的局部Hurst指数对测井在每个深度的局部行为进行描述:局部小波方法和平均-局部小波方法。首先,通过规则性分析处理使用随机中点位移算法生成的综合日志。获得的赫斯特曲线允许辨别组成模拟地质模型的不同层。接下来,将这一分析扩展到在Kontinentales Tiefbohrprogramm(KTB)试井(德国大陆深层钻探计划)中记录的真实声波测井数据。结果表明,估计的赫斯特指数与井穿越的岩性不连续性之间存在显着的相关性。因此,赫斯特指数可以用作表征地下异质性的工具。

著录项

  • 来源
    《Arabian Journal of Geosciences》 |2011年第2期|p.221-227|共7页
  • 作者

  • 作者单位
  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号