A Monte Carlo approach to the joint estimation of reservoir and elastic parameters from seismic amplitudes

Geophysics

Volumn 72, Issue 6, 2007, Pages

  Bosch, Miguel ^a   Cara, Luis ^a   Rodrigues, Juan ^a   Navarro, Alonso ^b   Díaz, Manuel ^b  

^a UNIVERSIDAD CENTRAL DE VENEZUELA   (Venezuela)

^b Petrobaras Energía Venezuela   (Venezuela)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ELASTICITY; HYDROCARBONS; MATHEMATICAL MODELS; MONTE CARLO METHODS; PETROLEUM RESERVOIRS; SEISMOLOGY;

PETROPHYSICAL INVERSION; PETROPHYSICAL TRANSFORM; STATISTICAL MODEL;

PETROLEUM PROSPECTING;

DATA INVERSION; ELASTICITY; ESTIMATION METHOD; GEOPHYSICAL METHOD; HYDROCARBON RESERVOIR; LITHOLOGY; MONTE CARLO ANALYSIS; POROSITY; SEISMIC DATA;

EID: 36148995491     PISSN: 00168033     EISSN: None     Source Type: Journal    
DOI: 10.1190/1.2783766     Document Type: Article

References (23)

1. Bachrach, R., 2006, Joint estimation of porosity and saturation using stochastic rock-physics modeling: Geophysics, 71, no. 5, O53-O63. gpy GPYSA7 0016-8033 10.1190/1.2235991
2. Bosch, M., 1999, Lithologic tomography: From plural geophysical data to lithology estimation: Journal of Geophysical Research, 104, 749-766. jgr JGREA2 0148-0227 10.1029/1998JB900014
3. 2004, The optimization approach to lithological tomography: Combining seismic data and petrophysical information for porosity prediction: Geophysics, 69, 1272-1282. gpy GPYSA7 0016-8033
4. Bosch, M., L. Cara, and A. Navarro, 2006, Joint estimation of reservoir and elastic parameters from seismic amplitudes using a Monte Carlo method: 76th Annual International Meeting, SEG, Expanded Abstracts, 2027-2031.
5. Bosch, M., and E. Fernández, 2003, Porosity probability calculation from lithological inversion of seismic amplitudes: Presented at the 2003 Summer Research Workshop, SEG.
6. Bosch, M., A. Guillen, and P. Ledru, 2001, Lithologic tomography: An application to geophysical data from the Cadomian belt of northern Brittany, France: Tectonophysics, 331, 197-227. 8t9 TCTOAM 0040-1951 10.1016/S0040-1951(00)00243-2
7. Bosch, M., and J. McGaughey, 2001, Joint inversion of gravity and magnetic data under lithological constraints: The Leading Edge, 20, 877-881. lee LEEDFF 1070-485X 10.1190/1.1487299
8. Contreras, A., C. Torres-Verdin, W. Chesters, and K. Kvien, 2005, Joint stochastic inversion of petrophysical logs and 3D pre-stack seismic data to assess the spatial continuity of fluid units away from wells: Application to a Gulf-of-Mexico deepwater hydrocarbon reservoir: Transactions of the 46th Annual Logging Symposium, Society of Petrophysicists and Well Log Analysts, 1-15.
9. Doyen, P. M., 1988, Porosity from seismic data: A geostatistical approach: Geophysics, 53, 1263-1275. gpy GPYSA7 0016-8033 10.1190/ 1.1442404
10. Eidsvik, J., P. Avseth, H. Omre, T. Mukerji, and G. Mavko, 2004, Stochastic reservoir characterization using prestack seismic data: Geophysics, 69, 978-993. gpy GPYSA7 0016-8033
11. Geyer, C. J., 1992, Practical Markov chain Monte Carlo: Statistical Science, 7, 473-551. sts STSCEP 0883-4237
12. González, E. F., G. Mavko, and T. Mukerji, 2006, Rock physics and multiple-point geostatistics for seismic inversion: 76th Annual International Meeting, SEG, Expanded Abstracts, 2047-2051.
13. Hastings, W. K., 1970, Monte Carlo sampling method using Markov chains and their applications: Biometrika, 57, 97-109. bik BIOKAX 0006-3444 10.2307/2334940
14. Larsen, A. L., M. Ulvmoen, H. Omre, and A. Buland, 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
15. Loures, L. G. L., and F. S. Moraes, 2006, Porosity inference and classification of siliciclastic rocks from multiple data sets: Geophysics, 71, no. 5, O65-O76. gpy GPYSA7 0016-8033 10.1190/1.2335570
16. Mosegaard, K., and A. Tarantola, 1995, Monte Carlo sampling of solutions to inverse problems: Journal of Geophysical Research, 100, 12431-12447. jgr JGREA2 0148-0227 10.1029/94JB03097
17. Mukerji, T., A. Jørstad, P. Avseth, G. Mavko, and J. R. Granli, 2001, Mapping lithofacies and pore-fluid probabilities in a North Sea reservoir: Seismic inversions and statistical rock physics: Geophysics, 66, 988-1001. gpy GPYSA7 0016-8033 10.1190/1.1487078
18. Oldenburg, D. W., S. Levy, and K. P. Whittall, 1991, Wavelet estimation and deconvolution: Geophysics, 46, 1528-1542. gpy GPYSA7 0016-8033 10.1190/1.1441159
19. Smith, A. F., and G. O. Roberts, 1993, Bayesian computations via the Gibbs sampler and related Markov chain Monte Carlo methods: Journal of the Royal Statistical Society, 55, 3-23. ckv ZZZZZZ 0952-8385
20. Tarantola, A., 2005, Inverse problem theory and methods for model parameter estimation: SIAM.
21. Tierney, L., 1994, Markov-chains for exploring posterior distributions: Annals of Statistics, 22, 1702-1762. 97j JEMTA8 0094-4289
22. Torres-Verdin, C., M. Victoria, G. Merletti, and J. Pendrel, 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, 19, 1070-1077. lee LEEDFF 1070-485X
23. Wyllie, M. R. J., A. R. Gregory, and L. W. Gardner, 1956, Elastic wave velocities in heterogeneous and porous media: Geophysics, 21, 41-70. gpy GPYSA7 0016-8033 10.1190/1.1438217