Title :
Specific purpose Monte Carlo modelling of nuclear well logging tool responses
Author :
Gardner, R.P. ; Verghese, K. ; Choi, H.K. ; Mickael, M.
Author_Institution :
Dept. of Nucl. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
Statistical estimation and direction biasing combined with path-length stretching have been incorporated in special-purpose Monte Carlo codes for modeling pulse-neutron and dual-spaced neutron well-logging-tool responses. Experimental test-pit results have been simulated with these codes, indicating that they are accurate. The codes are run on a DEC Microvax II computer in very reasonable CPU times and are easy to use. It is estimated that further optimization of the biasing parameters, inclusion of correlated sampling, and other improvements will yield computer codes that are about an order of magnitude faster than the present general-purpose codes.<>
Keywords :
Monte Carlo methods; geophysical equipment; geophysical prospecting; geophysics computing; Monte Carlo modelling; biasing parameters; correlated sampling; direction biasing; dual-spaced neutron well-logging-tool; nuclear well logging tool responses; path-length stretching; pulsed neutron well logging tool; Computational modeling; Monte Carlo methods; Neutrons; Power engineering and energy; Radioactive materials; Sampling methods; Testing; Velocity measurement; Well logging; Yield estimation;
Journal_Title :
Nuclear Science, IEEE Transactions on