TY - RPRT
TI - Estimation of thermal neutron cross sections from K, U, Th concentrations for rock samples using neural network algorithms
AB - In the paper present the results of the use of the neural network algorithms to find a function {Sigma}{sub a}=f(K, U, Th,...). The easily measurable parameters (K, U, Th concentrations, lithology) were used to estimate the thermal neutron absorption cross-section {Sigma}{sub a}, which is difficult to measure in the borehole conditions. This paper is suggesting a possible solution to the problem. This method may have an important application in the well-logging data treatment. (author). 6 refs, 9 tabs.
AU - Loskiewicz, J
AU - Swakon, J [Institute of Nuclear Physics, Cracow (Poland)]
KW - 54 ENVIRONMENTAL SCIENCES
KW - ROCKS
KW - WELL LOGGING
KW - THERMAL NEUTRONS
KW - TOTAL CROSS SECTIONS
KW - LITHOLOGY
KW - NEURAL NETWORKS
KW - NUMERICAL DATA
KW - POTASSIUM
KW - THORIUM
KW - URANIUM
KW - 540211
KW - RADIOMETRIC TECHNIQUES
DO -
UR -
PB -
CY - Poland
PY - 1992
DA - 1993-12-31
LA - English
J2 -
C1 - Institute of Nuclear Physics, Cracow (Poland)
C2 -
ER -