Nuclear modeling techniques and nuclear data

Author

Soran, Patrick D.

Author_Institution

Lawrence Livermore Nat. Lab., California Univ., Livermore, CA, USA

Volume

35

Issue

1

fYear

1988

fDate

2/1/1988 12:00:00 AM

Firstpage

847

Lastpage

851

Abstract

A review of radiation transport techniques, useful in modeling nuclear oil-well logging applications, is presented. These techniques include deterministic and stochastic methods, in addition to sophisticated nuclear databases. Mathematical modeling minimizes design and experiment time and provides information on sensor design, environmental effects, and interpretation questions. Monte Carlo techniques provide energy, time, and spatial information to permit signal partitioning and sensitivity analysis in complex geometries and environments. Three examples of nuclear modeling are given.

Keywords

Monte Carlo methods; geophysical prospecting; geophysical techniques; Monte Carlo techniques; complex geometries; deterministic methods; environmental effects; modeling; nuclear databases; nuclear oil-well logging applications; radiation transport techniques; sensitivity analysis; sensor design; signal partitioning; stochastic methods; Boltzmann equation; Computational modeling; Computer simulation; Laboratories; Mathematical model; Monte Carlo methods; Packaging; Radiation detectors; Sensitivity analysis; Stochastic processes;

fLanguage

English

Journal_Title

Nuclear Science, IEEE Transactions on

Publisher

ieee

ISSN

0018-9499

Type

jour

DOI

10.1109/23.12844

Filename

12844