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Nuclear data for well logging

Conference · · Transactions of the American Nuclear Society; (United States)
OSTI ID:5759341
;  [1]
  1. North Carolina State Univ., Raleigh (United States)
Nuclear well logging has a long history in the use of mathematical modeling techniques for elucidation of principles, calibration and/or log interpretation, and tool design. More recent modeling efforts use numerical solutions to the neutron and gamma-ray transport equations and Monte Carlo simulation for these and other nuclear logs such as the gamma-ray lithodensity and prompt neutron activation spectral logs. The Monte Carlo codes generally required detailed fine-group and/or point (energy) neutron cross sections, prompt gamma-ray yields for the (n,{gamma}) reactions, angular distribution data for elastic neutron scattering, inelastic neutron scattering levels and gamma-ray yields, and fine-group and/or point (energy) gamma-ray cross sections. The International Atomic Energy Agency (IAEA) has long served as a focal point for identifying the nuclear data needs in this area. An earlier paper by the authors on data requirements for radioisotope-excited gauges and analyzers concentrated on data for specific-purpose Monte Carlo codes. Later, they introduced a Monte Carlo computational benchmark problem for the neutron porosity log that was of immediate interest. Initial calculations with the general-purpose Monte Carlo codes McBEND and MCNP and the specific purpose code McDNL on that benchmark problem indicated serious discrepancies. This led the authors to hold a seminar and workshop to address these discrepancies and investigate other potential Monte Carlo simulation problems for nuclear well logs. Results are reported.
OSTI ID:
5759341
Report Number(s):
CONF-910603--
Conference Information:
Journal Name: Transactions of the American Nuclear Society; (United States) Journal Volume: 63
Country of Publication:
United States
Language:
English