...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Pure and Applied Geophysics >NMR measurements in carbonate rocks: Problems and an approach to a solution
【24h】

NMR measurements in carbonate rocks: Problems and an approach to a solution

机译：碳酸盐岩中的NMR测量：问题和解决方法

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

Carbonate rocks are well known for their complex petrophysical behavior where, in contrast to siliciclastic rocks, different parameters, including porosity and permeability, usually are not directly related. This behavior is the result of thorough reorganization of porosity during diagenesis, and it turns prediction of reservoir quality of carbonate rocks into a challenge. The study presented here deals with the problem of utilizing NMR techniques in prediction of petrophysical properties in carbonates.We employ a visual porosity classification as a priori knowledge for better interpreting NMR data for prediction purposes. This allows for choice of suitable T-2 cutoff values to differentiate movable from bound fluids adapted for the specific carbonate rock, thus resulting in better interpretation of NMR data. The approach of using a genetic pore type classification for adapting the conventional method for T-2 cutoff determination, which originally was developed for siliciclastic rocks, is promising. Similarly, for permeability determination on the basis of NMR measurements, the classification of carbonate rocks based on porosity types also shows potential. The approach implemented here has the promise to provide a basis of standardized interpretation of NMR data from carbonate rocks.
机译：碳酸盐岩以其复杂的岩石物理特性而闻名，与硅质碎屑岩相比，碳酸盐岩的孔隙度和渗透率等不同参数通常并不直接相关。这种行为是成岩过程中孔隙度彻底重组的结果，这使碳酸盐岩储层质量的预测成为一个挑战。本文介绍的研究涉及利用NMR技术预测碳酸盐岩的岩石物理性质的问题。我们采用视觉孔隙度分类作为先验知识，可以更好地解释NMR数据以进行预测。这样就可以选择合适的T-2截止值，以区分可移动的流体与适用于特定碳酸盐岩石的结合流体，从而可以更好地解释NMR数据。利用遗传孔隙类型分类来适应最初用于硅质碎屑岩的T-2临界值确定方法的方法是有前途的。同样，对于基于NMR测量的渗透率测定，基于孔隙度类型的碳酸盐岩石分类也显示出了潜力。此处实施的方法有望为碳酸盐岩NMR数据的标准化解释提供基础。

著录项

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