DocumentCode
1072781
Title
The Monte Carlo Multiply Scattered Components (MCMSC) approach for natural gamma-ray log interpretation
Author
Guo, Pingjun ; Gardner, Robin P.
Author_Institution
Center for Eng. Applications of Radioisotopes, North Carolina State Univ., Raleigh, NC, USA
Volume
43
Issue
3
fYear
1996
fDate
6/1/1996 12:00:00 AM
Firstpage
1869
Lastpage
1875
Abstract
A new approach called the Monte Carlo Multiply Scattered Component (MCMSC) approach has been developed for natural gamma-ray logging tool interpretation. It consists of first determining individual scatter component library gamma-ray spectra for each of the three sources of natural gamma radiation (40K, U, and Th) for a reference sample by Monte Carlo simulation. Then these scatter component library spectra, normalized to unit area, are used to obtain coefficients by the library least-squares (LLS) method with the natural radioisotope library spectra for a range of sample parameters such as borehole fluid density and composition as well as formation density and composition. Finally, empirical relationships are developed between the individual scatter component library coefficients and the sample parameters. It is found that the normalized scatter component libraries are insensitive to the formation lithology, and the range of allowable parameter variations covers most of the sedimentary formations. This approach allows one to construct the appropriate natural radioisotope libraries for 40 K, uranium, and thorium for a sample with known characteristics in a very efficient and accurate manner. This, in turn, allows the calculation (again by the LLS method) of amounts of the three sources of natural gamma rays for any sample spectrum
Keywords
Monte Carlo methods; gamma-ray spectroscopy; geophysical techniques; 40K; K; Monte Carlo multiply scattered components approach; Monte Carlo simulation; Th; U; borehole fluid density; formation lithology; individual scatter component library gamma-ray spectra; library least-squares method; natural gamma radiation; natural gamma-ray log interpretation; natural gamma-ray logging tool interpretation; natural radioisotope library spectra; Gamma ray detection; Gamma ray detectors; Gamma rays; Libraries; Minerals; Monte Carlo methods; Performance analysis; Radioactive materials; Scattering parameters; Spectroscopy;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/23.507238
Filename
507238
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