| Periodically this site will present fresh new examples with
LVPM concerning the impact of pore size and laminae properties
on bulk density, Pe, dual-spaced neutron porosity, thermal
neutron diffusion coefficient, and neutron capture cross section.
In particular, the density and Pe computations no longer utilize
Filippov's method. Instead, a new and very accurate
interpolation scheme based more directly on the NIST data tables
of Hubbell and Seltzer is used. As in the previous Filippov
formulation, the new LVPM calculations still account for energy
losses during gamma ray propagation, corrections for multiple
scatterings, and the gamma detector energy-dependent counting
efficiency.
One new feature has been added to the LVPM Program Internals Output Pane: Material 1 and Material 2 MCNP5 Mass Fractions.
In the XY plot shown further on, the impact of fractal dimension variations on neutron-density crossplots is illustrated using concepts presented in the 2009 SPWLA Annual Logging Symposium, Paper Y.
As the fractal dimension increases, pore size dramatically decreases. Since scattering and diffusing neutrons tend to avoid water, when the fractal dimension is low and the pores are larger, they don’t “see” some water internal to these larger pores and they propagate more in the rock matrix and the sensed neutron porosity is lower. But then, as the pores are reduced in size with higher fractal dimensions, the neutrons “find” all the water present, they are more spatially confined, and the sensed neutron porosity is higher.
Conversely, gamma rays attempt to avoid the higher density of the matrix and tend to propagate in the lower density fluid, reporting relatively more water than matrix when the fractal dimension is low, and inversely.
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