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用于中子源蒙特卡罗核测井计算的方差缩减技术的实现。

Implementation of variance-reduction techniques for Monte Carlo nuclear logging calculations with neutron sources.

作者信息

Maucec M

机构信息

Reactor Physics Division, Jozef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia.

出版信息

Radiat Prot Dosimetry. 2005;116(1-4 Pt 2):498-503. doi: 10.1093/rpd/nci245.

Abstract

Monte Carlo simulations for nuclear logging applications are considered to be highly demanding transport problems. In this paper, the implementation of weight-window variance reduction schemes in a 'manual' fashion to improve the efficiency of calculations for a neutron logging tool is presented. The simulations were conducted using MCNP to assess the sensitivity of neutron and gamma flux to the saturation of soil with fresh and salty water and oil. The weight-windows were optimised to enhance the precision in characteristic gamma-ray windows for carbon-oxygen logging and sigma logging. An analysis is under way to incorporate quartz sediments and other oil substances. Future tasks include the assessment of advanced Monte Carlo estimators and optimisation of capture gamma-ray sampling techniques to enhance the variance reduction in nuclear logging calculations.

摘要

用于核测井应用的蒙特卡罗模拟被认为是极具挑战性的输运问题。本文介绍了以“手动”方式实施权重窗方差缩减方案,以提高中子测井工具计算效率的方法。使用MCNP进行模拟,以评估中子和伽马通量对淡水、咸水和油使土壤饱和的敏感性。优化权重窗以提高碳氧测井和西格玛测井特征伽马射线窗的精度。目前正在进行一项分析,以纳入石英沉积物和其他油类物质。未来的任务包括评估先进的蒙特卡罗估计器和优化俘获伽马射线采样技术,以增强核测井计算中的方差缩减。

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