Joint inversion of seismic AVO and EM data for gas saturation estimation using a sampling-based stochastic model

2004 SEG Annual Meeting

Volumn , Issue , 2004, Pages

  Chen, Jinsong ^a   Michael Hoversten, G ^a   Vasco, D W ^a   Rubin, Yoram ^b   Hou, Zhangshuan ^b  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DENSITY OF GASES; GASES; INVERSE PROBLEMS; MARKOV PROCESSES; MONTE CARLO METHODS; OFFSHORE GAS FIELDS; PETROLEUM PROSPECTING; PETROLEUM RESERVOIR EVALUATION; POROSITY; PROBABILITY DENSITY FUNCTION; SEISMOLOGY; STOCHASTIC SYSTEMS;

GAS EXPLORATION; INVERSE METHODS; MARKOV CHAIN MONTE CARLO; OPTIMAL SOLUTIONS; POROSITY ESTIMATION; POSTERIOR PROBABILITY; PRIOR INFORMATION; SYNTHETIC STUDY;

STOCHASTIC MODELS;

EID: 58049140031     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Archie, G. E., 1942, The electrical resistivity log as an aid in determining some reservoir characteristics: Trans. Am. Inst. Mech. Eng., 146, 54-62.
2. Gilks, W., Richardson, S., and Spiegelhalter, D., 1996, Markov Chain Monte Carlo in Practice: Chapman & Hall/CRC, New York.
3. Hoversten, M., Gritto, R., Washbourne, J., and T. Daily, 2003, Pressure and fluid saturation prediction in a multi-component reservoir using combined seismic and electromagnetic imaging: Geophysics, 68, 1580-1591.
4. Mavko, G., Mukerji, T., and Dvorkin, J., 1998, The rock physics handbook: Tools for seismic analysis in porous media: Cambridge University Press, New York.
5. Rubin, Y., 2003, Applied stochastic hydrology: Oxford University Press, New York.
6. Tierney, L., 1994, Markov chains for exploring posterior distributions: the Annals of Statistics, 22, 1701-1762.