首页> 外文会议>Society of Core Analysts Symposium >REVISITING TWO PHASE NMR DATA WITH A NEW INVERSION ROUTINE USING A TRIANGULAR PORES MODEL FOR WETTABILITY ESTIMATION
【24h】

REVISITING TWO PHASE NMR DATA WITH A NEW INVERSION ROUTINE USING A TRIANGULAR PORES MODEL FOR WETTABILITY ESTIMATION

机译:使用三角形孔模型重新拟对两相NMR数据,用于使用三角孔模型进行润湿性估计

获取原文

摘要

NMR measurements are sensitive to the wettability because of the surface relaxivity of the pore surface that enhances the relaxation of the fluids inside the porous media. It has been shown in numerous publications that NMR can detect changes in wettability and many different approaches have been taken for finding the wettability by NMR. The NMR magnetic decay curve is commonly inverted to a T2 distribution. The distribution is then used to estimate wettability changes based on shifts in the distribution or specific T2 values such as the logarithmic mean of the T2 distribution. We have developed an inversion routine that fits the decay curve to a distribution of triangular pores. The triangular pores make it possible to model two immiscible fluids simultaneously present in the same pore. We get pore saturation and wettability as functions of pore size, contact angle and capillary pressure. The corresponding NMR signal is calculated based on a previously published correlation for the magnetic signal of two immiscible phases in triangular pore geometry. The resulting output from the inversion routine is a pore size distribution, saturation, separate oil and water distributions and a wettability index based on fluid-pore surface areas for the oil and water.
机译:由于孔隙表面的表面松弛率,NMR测量对润湿性敏感,这增强了多孔介质内的流体的松弛。它已在许多出版物中显示,NMR可以检测润湿性的变化,并且已经采取了许多不同的方法来查找NMR的润湿性。 NMR磁衰减曲线通常倒置为T2分布。然后使用分布来估计基于分布或特定T2值的偏移的润湿性变化,例如T2分布的对数均值。我们开发了一种反演程序,使衰减曲线拟合到三角孔的分布。三角形孔使得可以在同一孔中同时呈现两个不混溶的流体。我们将孔隙饱和度和润湿性作为孔径,接触角和毛细管压力的函数。基于三角形孔几何形状中的两个不混溶相的磁信号的先前公布的相关性来计算相应的NMR信号。从反转常规的所得输出是基于油和水的流体孔表面区域的孔径分布,饱和度,单独的油和水分布以及润湿性指数。

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