MCNP(Monte Carlo N-Particle Code)是基于Monte-Carlo方法的一个粒子输运计算程序。其输出数据信息量大,难以快速筛选处理有效数据。在分析MCNP输出数据主要内容的基础,设计了MCNP结果数据提取算法,采用VC++与MatlabCOM混合编程技术,...MCNP(Monte Carlo N-Particle Code)是基于Monte-Carlo方法的一个粒子输运计算程序。其输出数据信息量大,难以快速筛选处理有效数据。在分析MCNP输出数据主要内容的基础,设计了MCNP结果数据提取算法,采用VC++与MatlabCOM混合编程技术,实现了一个MCNP输出数据分析与可视化软件。应用结果表明,该软件满足了MCNP使用人员对MCNP输出数据快速分析与可视化的迫切需求。展开更多
针对一般的测量物质线性吸收系数实验的缺点,文章利用Monte Carlo N Particle Transport Code(MCNP)和全能峰面积法模拟计算了不同实验条件下物质γ射线吸收的线性吸收系数,计算与公认值的偏差.通过使偏差在较小的合理范围内,并与其它...针对一般的测量物质线性吸收系数实验的缺点,文章利用Monte Carlo N Particle Transport Code(MCNP)和全能峰面积法模拟计算了不同实验条件下物质γ射线吸收的线性吸收系数,计算与公认值的偏差.通过使偏差在较小的合理范围内,并与其它方法对比,找出了合适的实验条件,使测量装置易于调试,可得射线能量信息,而且比计数法的准确度高,探测效率较高,以此改进并简化了实验.展开更多
The study of the thin bed responses and correction methods in cased hole density logging can provide a theoretical basis for research to improve data processing methods. By using the Monte Carlo program MCNP, the chan...The study of the thin bed responses and correction methods in cased hole density logging can provide a theoretical basis for research to improve data processing methods. By using the Monte Carlo program MCNP, the change of detector count from thin beds with the vertical depth was calculated at different casing thicknesses. The calculation showed that with the low density thin bed moving upward, detector count first increased to a maximum then decreased. The responses of a thin bed with a high density were opposite to those of a thin bed with a low density. The change curve was symmetrical, and the maximums or minimums appeared at the midpoint between the detector and source. Besides, detector count increased with increasing thin bed thickness. At a specific thin bed thickness, further increase of thin bed thickness resulted in a slow increase of detector count then the count rate leveled off. In actual logging, the influence of adjacent formations on density log measurements can be ignored. Finally, based on numerical simulation correction methods for the dual influence of casing and thin beds are discussed.展开更多
文摘MCNP(Monte Carlo N-Particle Code)是基于Monte-Carlo方法的一个粒子输运计算程序。其输出数据信息量大,难以快速筛选处理有效数据。在分析MCNP输出数据主要内容的基础,设计了MCNP结果数据提取算法,采用VC++与MatlabCOM混合编程技术,实现了一个MCNP输出数据分析与可视化软件。应用结果表明,该软件满足了MCNP使用人员对MCNP输出数据快速分析与可视化的迫切需求。
文摘针对一般的测量物质线性吸收系数实验的缺点,文章利用Monte Carlo N Particle Transport Code(MCNP)和全能峰面积法模拟计算了不同实验条件下物质γ射线吸收的线性吸收系数,计算与公认值的偏差.通过使偏差在较小的合理范围内,并与其它方法对比,找出了合适的实验条件,使测量装置易于调试,可得射线能量信息,而且比计数法的准确度高,探测效率较高,以此改进并简化了实验.
文摘The study of the thin bed responses and correction methods in cased hole density logging can provide a theoretical basis for research to improve data processing methods. By using the Monte Carlo program MCNP, the change of detector count from thin beds with the vertical depth was calculated at different casing thicknesses. The calculation showed that with the low density thin bed moving upward, detector count first increased to a maximum then decreased. The responses of a thin bed with a high density were opposite to those of a thin bed with a low density. The change curve was symmetrical, and the maximums or minimums appeared at the midpoint between the detector and source. Besides, detector count increased with increasing thin bed thickness. At a specific thin bed thickness, further increase of thin bed thickness resulted in a slow increase of detector count then the count rate leveled off. In actual logging, the influence of adjacent formations on density log measurements can be ignored. Finally, based on numerical simulation correction methods for the dual influence of casing and thin beds are discussed.
