The Monte Carlo Multiply Scattered Components (MCMSC) approach for natural gamma-ray log interpretation

IEEE Transactions on Nuclear Science

Volumn 43, Issue 3 PART 2, 1996, Pages 1869-1875

  Guo, Pingjun ^a   Gardner, Robin P ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPOSITION; COMPUTER SIMULATION; DENSITY (SPECIFIC GRAVITY); GAMMA RAYS; LEAST SQUARES APPROXIMATIONS; LITHOLOGY; MONTE CARLO METHODS; POTASSIUM; RADIOISOTOPES; SEDIMENTS; THORIUM; URANIUM;

LIBRARY LEAST SQUARES METHOD; MONTE CARLO MULTIPLY SCATTERED COMPONENTS METHOD; NATURAL GAMMA RAY LOGGING; SCATTER COMPONENT LIBRARY SPECTRA;

RADIOACTIVITY LOGGING;

EID: 0030165463     PISSN: 00189499     EISSN: None     Source Type: Journal    
DOI: 10.1109/23.507238     Document Type: Article

References (6)

1. C.M. Shyu, R.P. Gardner, and K. Verghese, " Development of the Monte Carlo - library least-squares method of analysis for neutron capture prompt gamma-ray analyzers'', Nucl. Geophys. 7, pp. 241-267, 1993.
2. T. He. R.P. Gardner, and K. Verghese, " The Monte Carlo - Library Least-squares Approach for Energy-Dispersive X-Ray Fluorescence Analysis", Applied Radiation and Isotopes, Vol. 44, No. 10/11, pp1381-1388, 1993.
3. P. Guo, " Monte Carlo simulation of the natural gamma-ray oil well-logging tool responses and use in log interpretation", Ph.D. dissertation, North Carolina State University, 1995.
4. P. Guo, R.P. Gardner, and K. Verghese, " Demonstrated log interpretation and design uses of the specific purpose Monte Carlo code McNGR for natural gamma-ray logs", SPWLA 35th Annu. Logg. Symp., Paper K, Soc. Prof. Well Log Analysts, Tulsa, Oklahoma, 1994.
5. P. Guo, D.E. Peplow, and R.P. Gardner, " Natural gamma-ray log interpretation: semi-empirical, principal components analysis, and Monte Carlo multiply scattered component approach", Nucl. Geophys. 9. pp. 305-318, 1995.
6. P.R. Bevington and D.K. Robinson, Data Reduction and Error Analysis for the Physical Sciences, 2nd Ed., McGraw-Hill Book Co., New York, 1992.