Stochastic inversion of pressure and saturation changes from time-lapse seismic data

SEG Technical Program Expanded Abstracts

Volumn 22, Issue 1, 2003, Pages 1378-1381

  Veire, Helene Hafslund ^a   Borgos, Hilde Grude ^b   Landrø, Martin ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b British Geological Survey   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84955098949     PISSN: 10523812     EISSN: 19494645     Source Type: Conference Proceeding    
DOI: 10.1190/1.1817545     Document Type: Conference Paper

References (10)

1. Castagna, J.P., and Smith, S.W., 1994, Comparison of AVO indicators: A modeling study: Geophysics, 59, 1849-1855.
2. Eidsvik, J., Avseth, P., Omre, H., Mukerji, T., and Mavko, G., 2002, Stochastic reservoir characterization using Bayesian integration of rock physics and Markov random fields: A North Sea example: The Leading Edge.
3. Landrø, M., Solheim, O.A., Hilde, E., Ekren, B.O., and Strønen, L.K., 1999, The Gullfaks 4D seismic study: Petroleum Geoscience, 5, 213-226.
4. Landrø, M., 2001, Discrimination between pressure and fluid saturation changes from time-lapse seismic data: Geophysics, 66, 836-844.
5. Landrø, M., 2002, Uncertainties in quantitative timelapse seismic analysis: Geophysical Prospecting, 50, 527-538.
6. Malinverno, A., and Leaney, S., 2000, A Monte Carlo Method to quantify uncertainty in the inversion of zerooffset VSP data: 70th Ann. Internat. Mtg., Soc.Explor., Geophys., Expanded Abstracts, 2393-2396.
7. Shuey, R.T., 1985, A simplification of the Zoeppritz equations: Geophysics, 50, 609-614.
8. Sønneland, L., Veire, H.H., Raymond, B., Signer, C., Pedersen, L., Ryan, S., Sayers, C., 1997, Seismic reservoir monitoring on Gullfaks: The Leading Edge, 16, 1247-1252.
9. Tura, A. and Lumley, D.E., 1999, Estimating pressure and saturation changes from time-lapse AVO data: 69th Ann. Internat. Mtg., Soc.Explor., Geophys., Expanded Abstracts, 1655-1658.
10. Vidal, S., Huguet, F., and Mechler, P., 2002, Characterizing reservoir parameters by integrating seismic monitoring and geomechanics: The Leading Edge.