• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Compaction of deep sea siliciclastic sediments based on log data.
【24h】

Compaction of deep sea siliciclastic sediments based on log data.

机译：基于测井资料的深海硅质碎屑岩压实作用。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Compaction models, describing variations of velocity, density and porosity with depth, are important in basic and applied studies of the Earth. Many so-called global compaction trends have been proposed for different types of sedimentary rocks, but there is very little agreement among these published compaction trends. These differences are likely due partly to type of data analyses (e.g., cores vs. downhole logs) and partly to local variations in mineralogy and in the compaction and diagenesis processes. This study builds global compaction trends of siliciclastic sediments, based on applying a uniform technique to downhole logs from a global collection of sites; we exclude nonrepresentative environments such as accretionary prisms and overpressured sediments. Principal component analysis (PCA) was successfully applied on logs selected from the DSDP/ODP/IODP database to separate velocity and porosity data according to their lithologies. In contrast to earlier studies, we find global consistency in velocity and porosity compaction trends within each of these four lithologies: sands, silts, muds and clays.;Global compaction trends describe average behavior of deep-sea siliciclastic sediments. These trends can be used when no data exist to build local compaction trends. Regional compaction trends are always better predictors for the rate of physical properties change with depth and should be used if data are available. A major part of this study was to obtain reference compaction trends as well as time-to-depth conversion curves for IODP Leg 317 Canterbury Basin sites. The success of Canterbury Basin Expedition 317 depends on the accuracies of its compaction model and time-to-depth conversions. Despite poor core recovery and very limited well logging on Leg 317, our PCA-based method of determining lithology-dependent compaction trends was successful.
机译：压实模型描述了速度，密度和孔隙度随深度的变化，在地球的基础研究和应用研究中很重要。对于不同类型的沉积岩，已经提出了许多所谓的全球压实趋势，但是在这些已公布的压实趋势之间几乎没有共识。这些差异可能部分归因于数据分析的类型（例如岩心与井下测井），部分归因于矿物学，压实和成岩作用过程中的局部变化。这项研究基于对全球站点采集的井下测井数据采用统一技术，建立了全球硅质碎屑压实趋势。我们排除了非代表性的环境，例如增生棱镜和超压沉积物。主成分分析（PCA）已成功应用于从DSDP / ODP / IODP数据库中选择的测井中，以根据岩性将速度和孔隙率数据分开。与早期的研究相比，我们发现这四种岩性中的速度和孔隙度压实趋势在全球范围内是一致的：沙子，粉砂，泥浆和黏土。全球压实趋势描述了深海硅质碎屑沉积物的平均行为。当没有数据建立局部压缩趋势时，可以使用这些趋势。区域压实趋势始终是物理性质随深度变化率的更好预测器，如果有数据，则应使用。这项研究的主要部分是获得IODP Leg 317坎特伯雷盆地站点的参考压实趋势以及时间-深度转换曲线。坎特伯雷盆地317号远征队的成功取决于其压实模型和时间-深度转换的准确性。尽管Leg 317的岩心采收率很差并且测井非常有限，但是我们基于PCA的方法确定了与岩性有关的压实趋势的方法还是成功的。

著录项

  • 作者

    Brusova, Olga.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Geophysics.
  • 学位 M.S.
  • 年度 2011
  • 页码 259 p.
  • 总页数 259
  • 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