Artificial neural network solutions to AVO inversion problems

SEG Technical Program Expanded Abstracts

Volumn 20, Issue 1, 2001, Pages 316-319

  Mogensen, Shane ^a   Link, Curtis ^b  

^a Subsurface Technology Group   (United States)

^b UNIVERSITY OF MONTANA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84882934064     PISSN: 10523812     EISSN: 19494645     Source Type: Conference Proceeding    
DOI: 10.1190/1.1816604     Document Type: Conference Paper

References (9)

1. Beale, M., Demuth, H., and Hagan, M., 1996, Neural Network Design, PWS Publishing Company, Boston.
2. Hilterman, F., 1990, Is AVO the seismic signature of lithology? A case history of Ship Shoal-south addition: The Leading Edge, 09, 15-22.
3. Krief, M., Garat, J., Stellingwerff, J., and Ventere, J. A., 1990, Petrophysical Interpretation Using the Velocities of P and S Waves (Full-Waveform Sonic), The Log Analyst, 31, 355-369.
4. Mallick, S., 1993, A simple approximation to the P-wave reflection coefficient and its implication in the inversion of amplitude variation with offset data: Geophysics, 58, 544-552.
5. Ostrander, W. J., 1984, Plane-wave reflection coefficients for gas sands at non-normal angles-of-incidence: Geophysics, 49, 10, pp. 1637-1648, 1984.
6. Sheriff, R. E., 1984, Encyclopedic Dictionary of Exploration Geophysics, Society of Exploration Geophysicists.
7. Shuey, R. T., 1985, A simplification of the Zoeppritzequations: Geophysics, 50, 609-614.
8. Sun, Q., Castagna, J., and Zhengping, L., 2000, AVO inversion by Artificial Neural Networks (ANN): 70th Ann. Mtg., Soc. Expl. Geophys., Expanded Abstracts, 130-133.
9. Zoeppritz, K., 1919, Erdbebenwellen VIIIB, On the reflection and propagation of seismic waves: Gottinger Nachrichten, I, pp. 66-84