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Volumn 19, Issue 1, 2000, Pages 130-133

AVO inversion by artificial neural networks (ANN)

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0005962870     PISSN: 10523812     EISSN: 19494645     Source Type: Conference Proceeding    
DOI: 10.1190/1.1815637     Document Type: Conference Paper
Times cited : (7)

References (5)
  • 2
    • 0032076343 scopus 로고    scopus 로고
    • Framework for AVO gradient and intercept interpretation
    • Castagna, J. P., Swan, H. W., and Foster, D. J, 1998, Framework for AVO gradient and intercept interpretation: Geophysics, Vol. 63, No. 3, P. 948-956.
    • (1998) Geophysics , vol.63 , Issue.3 , pp. 948-956
    • Castagna, J.P.1    Swan, H.W.2    Foster, D.J.3
  • 3
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik, K., Multilayer feedforward networks are universal approximators: Neural Networks, Vol. 2, No. 5 (1989), P 359-366.
    • (1989) Neural Networks , Issue.2 , pp. 359-366
    • Hornik, K.1
  • 4
    • 3042615575 scopus 로고    scopus 로고
    • An iterative inversion of seismic data constrained by wells using artificial neural networks
    • Liu, Z. P., Liu, J. Q., Castagna, J.P., and Pan, C. H., 1998, An iterative inversion of seismic data constrained by wells using artificial neural networks: Offshore Technology Conference.
    • (1998) Offshore Technology Conference
    • Liu, Z.P.1    Liu, J.Q.2    Castagna, J.P.3    Pan, C.H.4
  • 5
    • 0032215245 scopus 로고    scopus 로고
    • Seismic-controlled nonlinear extrapolation of well parameters using neural networks
    • Liu, Z. P., and Liu, J. Q. , 1998, Seismic-controlled nonlinear extrapolation of well parameters using neural networks: Geophysics, Vol. 63, No. 6, P. 2035-2041.
    • (1998) Geophysics , vol.63 , Issue.6 , pp. 2035-2041
    • Liu, Z.P.1    Liu, J.Q.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.