Impact of rock-physics depth trends and Markov random fields on hierarchical Bayesian lithology/fluid prediction

Geophysics

Volumn 75, Issue 4, 2010, Pages

  Rimstad, Kjartan ^a   Omre, Henning ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

CEMENTING (SHAFTS); DECISION MAKING; GEOPHYSICAL PROSPECTING; IMAGE SEGMENTATION; INTELLIGENT SYSTEMS; LITHOLOGY; MARKOV PROCESSES; MONTE CARLO METHODS; PETROLEUM RESERVOIR ENGINEERING; PETROLEUM RESERVOIRS; SEISMIC RESPONSE; SEISMIC WAVES; UNCERTAINTY ANALYSIS;

ERROR PARAMETERS; GLOBAL PARAMETERS; HIERARCHICAL BAYESIAN; MARKOV CHAIN MONTE CARLO SIMULATION; MARKOV RANDOM FIELDS; PRE-STACK SEISMIC DATA; PREDICTION UNCERTAINTY; ROCK PHYSICS MODEL;

FORECASTING;

BAYESIAN ANALYSIS; COMPUTER SIMULATION; DEPTH DETERMINATION; FLUID FLOW; HIERARCHICAL SYSTEM; HYDROCARBON RESERVOIR; INVERSE ANALYSIS; LITHOLOGY; MARKOV CHAIN; MAXIMUM LIKELIHOOD ANALYSIS; MONTE CARLO ANALYSIS; NUMERICAL MODEL; PARAMETERIZATION; PETROLEUM HYDROCARBON; PREDICTION; PRESTACK MIGRATION; ROCK PROPERTY; SEISMIC DATA; TREND ANALYSIS; WELL LOGGING;

EID: 84864159908     PISSN: 00168033     EISSN: None     Source Type: Journal    
DOI: 10.1190/1.3463475     Document Type: Article

References (22)

1. Aki, K. Richards, P.G., 1980, Quantitative seismology: Theory and methods: W. H. Freeman and Co.
2. Avseth, P. Flesche, H. Wijngaarden, A.-J.V., 2003, AVO classification of lithology and pore fluids constrained by rock physics depth trends: The Leading Edge, 22, 1004-1011.lee, LEEDFF, 1070-485X, 10.1190/1.1623641
3. Avseth, P. Mukerji, T. Mavko, G., 2005, Quantitative seismic interpretation - Applying rock physics tools to reduce interpretation risk: Cambridge University Press.
4. Bosch, M. Carvajal, C. Rodrigues, J. Torres, A. Aldana, M. Sierra, J., 2009, Petrophysical seismic inversion conditioned to well-log data: Methods and application to a gas reservoir: Geophysics, 74, no. 2, O1-O15.gpy, GPYSA7, 0016-8033, 10.1190/1.3043796
5. Buland, A. Kolbjørnsen, O. Hauge, R. Skjæveland, Ø. Duffaut, K., 2008, Bayesian lithology and fluid prediction from seismic prestack data: Geophysics, 73, no. 3, C13-C21.gpy, GPYSA7, 0016-8033, 10.1190/1.2842150
6. Buland, A. Omre, H., 2003a, Bayesian linearized AVO inversion: Geophysics, 68, 185-198.gpy, GPYSA7, 0016-8033, 10.1190/1.1543206
7. 2003b, Joint AVO inversion, wavelet estimation and noise-level estimation using a spatially coupled hierarchical Bayesian model: Geophysical Prospecting, 51, 531-550.8uc, GPPRAR, 0016-8025, 10.1046/j.1365-2478.2003.00390.x
8. Dvorkin, J. Nur, A., 1996, Elasticity of high-porosity sandstones: Theory for two North Sea data sets: Geophysics, 61, 1363-1370.gpy, GPYSA7, 0016-8033, 10.1190/1.1444059
9. Eidsvik, J. Avseth, P. Omre, H. Mukerji, T. Mavko, G., 2004, Stochastic reservoir characterization using prestack seismic data: Geophysics, 69, 978-993.gpy, GPYSA7, 0016-8033, 10.1190/1.1778241
10. Fjær, E. Holt, R.M. Horsrud, P. Raaen, A.M. Risnes, R., 2008, Petroleum related rock mechanics: Amsterdam: Elsevier.
11. Gassmann, F., 1951, Über die Elastizität poröser Medien: Vierteljahrsschrift der Naturforschenden Gessellschaft in Zürich, 96, 1-23.bsv, 0042-5672
12. Gelman, A. Carlin, J.B. Stern, H.S. Rubin, D.B., 2004, Bayesian data analysis, second edition: Chapman & Hall/CRC.
13. Geman, S. Geman, D., 1984, Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images: IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, 721-741.ipa, ITPIDJ, 0162-8828, 10.1109/TPAMI.1984.4767596
14. González, E.F. Mukerji, T. Mavko, G., 2008, Seismic inversion combining rock physics and multiple-point geostatistics: Geophysics, 73, no. 1, R11-R21.gpy, GPYSA7, 0016-8033, 10.1190/1.2803748
15. Holt, R.M. Fjær, E., 2003, Wave velocities in shales - A rock physics model: 65th Annual Conference and Exhibition, EAGE, Extended Abstracts, C-13.
16. Krumbein, W.C. Dacey, M.F., 1969, Markov chains and embedded Markov chains in geology: Mathematical Geology: 1, 79-96.mat, MATGED, 0882-8121, 10.1007/BF02047072
17. Larsen, A.L. Ulvmoen, M. Omre, H. Buland, A., 2006, Bayesian lithology/fluid prediction and simulation on the basis of a Markov-chain prior model: Geophysics, 71, no. 5, R69-R78.gpy, GPYSA7, 0016-8033, 10.1190/1.2245469
18. Mavko, G. Mukerji, T. Dvorkin, J., 2009, The rock physics handbook: Cambridge University Press.
19. Ramm, M. Bjørlykke, K., 1994, Porosity/depth trends in reservoir sandstones: Assessing the quantitative effects of varying pore-pressure, temperature history and mineralogy, Norwegian Shelf data: Clay Minerals, 29, 475-490.clj, CLMIAF, 0009-8558, 10.1180/claymin.1994.029.4.07
20. Torres-Verdín, C. Victoria, M. Merletti, G. Pendrel, J., 1999, Trace-based and geostatistical inversion of 3-D seismic data for thin-sand delineation: An application in San Jorge Basin, Argentina: The Leading Edge, 18, 1070-1077.lee, LEEDFF, 1070-485X, 10.1190/1.1438434
21. Ulvmoen, M. Omre, H., 2010, Improved resolution in Bayesian lithology/fluid inversion from seismic prestack data and well observations: Part 1 - Methodology: Geophysics, 75, no. 2, R21-R35.gpy, GPYSA7, 0016-8033, 10.1190/1.3294570
22. Ulvmoen, M. Omre, H. Buland, A., 2010, Improved resolution in Bayesian lithology/fluid inversion from prestack seismic data and well observations: Part 2 - Real case study: Geophysics, 75, no. 2, B73-B82.gpy, GPYSA7, 0016-8033, 10.1190/1.3335332