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Volumn 30, Issue 3-4, 2001, Pages 143-154

Predicting oil saturation from velocities using petrophysical models and artificial neural networks

Author keywords

Neural networks; Oil saturation; Petrophysical models; Velocities

Indexed keywords

PETROPHYSICAL MODELS;

EID: 0035442451     PISSN: 09204105     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0920-4105(01)00110-3     Document Type: Article
Times cited : (14)

References (19)
  • 3
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    • A modeling solution for predicting (a) dry rock bulk modulus, rigidity modulus and (b) seismic velocities and reflection coefficients in porous, fluid filled rocks with applications to laboratory rock samples and well logs
    • (1999) J. Appl. Geophys , vol.41 , pp. 49-73
    • Benson, A.K.1    Wu, J.2
  • 5
    • 36849141972 scopus 로고
    • Theory of deformation of a porous viscoelastic anisotropic solid
    • (1956) J. Appl. Phys , vol.27 , pp. 459-467
    • Biot, M.A.1
  • 6
    • 77956725039 scopus 로고
    • Theory of propagation of elastic waves in a fluid-saturated porous solid: 1. Low-frequency range
    • (1956) J. Acoust. Soc. Am , vol.28 , pp. 168-178
    • Biot, M.A.1
  • 9
    • 0032030370 scopus 로고    scopus 로고
    • Inversion of fracture density from field seismic velocities using artificial neural networks
    • (1998) Geophysica , vol.63 , pp. 534-545
    • Boadu, F.K.1
  • 14
    • 0016116805 scopus 로고
    • Velocity and attenuation of seismic waves in two-phase media: Part I. Theoretical formulations
    • (1974) Geophysica , vol.39 , pp. 587-606
    • Kuster, G.1    Toksöz, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.