Rapid simulation of borehole nuclear measurements with approximate spatial flux-scattering functions

48th Annual Logging Symposium 2007

Volumn , Issue , 2007, Pages

  Mendoza, A ^a   Torres Verdin C ^a   Preeg, W ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BOLTZMANN EQUATION; BOREHOLES; INTEGRAL EQUATIONS; INTELLIGENT SYSTEMS; NEUTRON LOGGING; NUMERICAL METHODS; RADIOACTIVITY;

BACKGROUND PARTICLES; BOLTZMANN'S TRANSPORT EQUATIONS; BOREHOLE MEASUREMENTS; BORN-SERIES EXPANSION; INTEGRAL REPRESENTATION; INVERSION TECHNIQUES; JOINT INTERPRETATION; NUMERICAL PROCEDURES;

MONTE CARLO METHODS;

EID: 85055708457     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (28)

1. Aristodemou, E., Pain, C., de Oliveira, C., Umpleby, A., Goddard, T., and Harris, C., 2006, Energy group optimization for forward and inverse problems in nuclear engineering: Application to downwell-logging problems: Geophysical Prospecting, vol. 54, March, pp. 99-120.
2. Booth, T. E., and Hendricks, J.S., 1984, Importance estimation in forward Monte Carlo calculations: Nuclear Technology/Fusion, vol. 5, pp. 90-100.
3. Couët, B., and Watson, C. C., 1992, Application of Monte Carlo differential neutron sensitivity calculations to geophysical measurements: Trans. Am. Nucl. Soc., 65, Suppl. 1, pp. 5.
4. Couët, B., and Watson, C. C., 1993, Monte Carlo differential neutron sensitivity calculations for nuclear well-logging: IEEE Transactions on Nuclear Science, vol. 40, no. 4, and pp928-932.
5. Case, C., Watson, C. C., and Lawrence, R., 1994, Sensitivity function technique for modeling nuclear tools: United Sates Patent 5, 334, 833.
6. Case, K. M., and Zweifel, P. F., 1967, Linear Transport Theory: Addison-Wesley Series in Nuclear Engineering, Reading, Massachussets.
7. Ellis, D. V., 1987, Well Logging for Earth Scientists: Elsevier Scientific Publishers, Amsterdam.
8. Ellis, D. V., Case, C. R., and Chiaramonte, J. M., 2003, Porosity from neutron logs I- Measurement: Petrophysics, vol. 44, no. 6, pp. 73-86.
9. Ellis, D. V., Case, C. R., and Chiaramonte, J. M., 2004, Porosity from neutron logs II- Interpretation: Petrophysics, vol. 45, no. 1, pp. 383-395.
10. Ellis, D. V., and Chiaramonte, J. M., 2002, Interpreting neutron logs in horizontal wells- A forward modeling tutorial: Petrophysics, vol. 41, no. 1, pp. 23-32.
11. Ellis, D. V., Flaum, C., Galford, J. E., and Scott, H. D., 1987, The effect of formation absorption on the thermal neutron porosity measurement: SPE 16814 inSPE Annual Technical Proceedings held in Dallas, TX Sept. 27-30. Society of Petroleum Engineers.
12. Glasstone, S., and Sesonske, A., 1994, Nuclear Reactor Engineering: Rector Design Basics: Fourth Ed., Vol. 1, Chapman & Hall, New York, NY.
13. Greenspan, E, 1976, Developments in Perturbation theory: Advances in Nuclear Science and Technology, vol. 9, Academic Press, inc., New York, NY.
14. Hendricks, J. S., 1982, A Code-Generated Monte Carlo Importance Function: Reactor Physics Methods, Trans. Am. Nucl. Soc., 41, 307.
15. Kreft, A., 1974, Calculation of the neutron Slowing Down length in Rocks and Soils: Nukleonika, vol. 19, pp. 145-156.
16. Lewins, J., 1965, Importance- The Adjoint Functionthe Physical basis of The Variational and Perturbation Theory in Transport and Diffusion Problems: Pergamon Press Ltd, London.
17. McKeon, D. C., and Scott, H. D., 1989, SNUPAR - A Nuclear Parameter Code for Nuclear Geophysics Applications: IEEE Transactions on Nuclear Geoscience, vol. 36, no. 1, February, pp. 1215-1219.
18. Mendoza, A., Preeg, W., Torres-Verdín, C., and Alpak, F., 2007, Monte Carlo modeling of nuclear measurements in vertical and horizontal wells in the presence of mud-filtrate invasion and salt mixing: Petrophysics, vol. 48. no. 1, pp. 28-44.
19. Mendoza, A., Ellis, D. V., and Rasmus, J. C., 2006, Why the LWD and wireline gamma ray measurements may read different values in the same well: SPE 101718, presented at the Society of Petroleum Engineers (SPE) First International oil Conference and Exhibition, Cancun, Mexico, Aug. 31 - Sep. 2.
20. Mendoza, A., Torres-Verdín, C., and Preeg, W., 2006, Environmental and petrophysical effects on density and neutron porosity logs acquired in highly deviated wells: paper EEE, in 47th Annual Logging Symposium Transactions: Society of Professional Well Log Analysts. Veracruz, Mexico, June 4-7.
21. Patchett, J. G., and Wiley, R., 1994, Inverse modeling using full nuclear response functions including invasion effects plus resistivity: paper H, in 35th Annual Logging Symposium Transactions: Society of Professional Well Log Analysts. Tulsa, Oklahoma, June 19-22.
22. Radtke, R. J., Evans, M., Rasmus, J. C., Ellis, D. V., Chiaramonte, J. M., Case, C. R., and Stockhausen, E., 2007, LWD Density Response to Bed Laminations in Horizontal and Vertical Wells: Petrophysics, vol. 48. no. 2, pp. 76-89.
23. Tittman, J., and Wahl, J., 1965, the physical foundations of formation density logging: Geophysics, vol. 30, no. 2, pp. 284-294.
24. Torres-Verdín, C., and Habashy, T.M., 2001, Rapid numerical simulation of axisymmetric single-well induction data using the extended Born approximation: Radio Science, vol. 36, no. 6, pp. 1287-1306.
25. Watson, C. C., 1984, Monte Carlo computation of differential sensitivity functions: Trans. Am. Nucl. Soc., vol. 46, pp. 655.
26. Watson, C. C., 1992, A spatial sensitivity analysis technique for neutron and gamma-ray measurements: Trans. Am Nucl. Soc., vol. 65, Suppl. 1, pp. 3.
27. X-5 Monte Carlo Team. MCNP., 2003, A General Monte Carlo N-Particle Trans port Code, Version 5, Volume3, Developer's Guide: University of California, Los Alamos National Laboratory, Los Alamos, New Mexico.
28. Yin, H., Han, X., Xu, L., Guo, W., Shehata, A., and Gardner, P. R., 2006, Field and benchmark studies of LWD nuclear tool response in high angle and horizontal wells: paper AAA, in 47th Annual Logging Symposium Transactions: Society of Professional Well Log Analysts. Veracruz, Mexico, June 4-7.