This paper demonstrates an empirical parameterization of the 'spine-an
d-rib' plot for a dual-detector density tool for the purpose of develo
ping an improved mudcake compensation algorithm for use in difficult c
onditions with thick mudcakes. It is shown, using the results of Monte
Carlo calculations, that a relatively simple equation provides a good
fit to the detector responses for a wide range of mudcake and formati
on densities, and for mudcake thicknesses up to 3 cm. A compensation a
lgorithm based on these equations would take into account the divergen
ce, at high mudcake thicknesses, of ribs measured for different mudcak
e densities.