74
Views
0
CrossRef citations to date
0
Altmetric
Articles

A reliable regression-based approach for seismic reservoir characterization

, &
Pages 86-93 | Received 05 Mar 2018, Accepted 17 May 2018, Published online: 20 Mar 2019

References

  • Aki, K., and P.G. Richards. 1980. Quantitative seismology. New York: W. H. Freeman & Co.
  • Avseth, P., T. Mukerji, A. Jørstad, G. Mavko, and T. Veggeland. 2001. Seismic reservoir mapping from 3-DAVOin a North Sea turbidite system. Geophysics 66: 1157–1176. doi:10.1190/1.1487063.
  • Bachrach, R. 2006. Joint estimation of porosity and saturation using stochastic rock-physics modeling. Geophysics 71: O53–O63. doi:10.1190/1.2235991.
  • Berryman, J.G. 1995. Mixture theories for rock properties. Rock Physics & Phase Relations: A Handbook of Physical Constants, 3: 205–228.
  • Blangy, J.P.D. 1992. Integrated seismic lithologic interpretation: The petrophysical basis (Vol. 51). Stanford: Department of Geophysics, School of Earth Sciences.
  • Bosch, M., L. Cara, J. Rodrigues, A. Navarro, and M. Díaz. 2007. A Monte Carlo approach to the joint estimation of reservoir and elastic parameters from seismic amplitudes. Geophysics 72: O29–O39. doi:10.1190/1.2783766.
  • Bosch, M., T. Mukerji, and E.F. Gonzalez. 2010. Seismic inversion for reservoir properties combining statistical rock physics and geostatistics: A review. Geophysics 75: 75A165–75A176. doi:10.1190/1.3478209.
  • Buland, A., O. Kolbjørnsen, R. Hauge, Ø Skjæveland, and K. Duffaut. 2008. Bayesian lithology and fluid prediction from seismic prestack data. Geophysics 73: C13–C21. doi:10.1190/1.2842150.
  • Buland, A., and H. Omre. 2003. Bayesian linearized AVO inversion. Geophysics 68 no. 1: 185–198. doi: 10.1190/1.1543206
  • Dahl, T., and B. Ursin. 1991. Parameter estimation in a one-dimensional anelastic medium. Journal of Geophysical Research: Solid Earth 96 no. B12: 20217–20233. doi: 10.1029/91JB00419
  • Doyen, P.M. 2007. Seismic reservoir characterization: An earth modelling perspective. Houten: EAGE Publications.
  • Dubrule, O. 2003. Geostatistics for seismic data integration in earth models. Tulsa, SEG.
  • Eidsvik, J., P. Avseth, H. Omre, T. Mukerji, and G. Mavko. 2004. Stochastic reservoir characterization using prestack seismic data. Geophysics 69: 978–993. doi:10.1190/1.1778241.
  • González, E.F., T. Mukerji, and G. Mavko. 2008. Seismic inversion combining rock physics and multiple-point geostatistics. Geophysics 73: R11–R21. doi:10.1190/1.2803748.
  • Goodway, B., T. Chen, and J. Downton. 1997 January. Improved AVO Fluid Detection And Lithology Discrimination Using Lamé Petrophysical Parameters; “λρ”, μρ, λμ Fluid Stack”, From P And S Inversions. In 1997 SEG Annual Meeting. Society of Exploration Geophysicists.
  • Grana, D. 2014. Probabilistic approach to rock physics modeling. Geophysics 79 no. 2: D123–D143. doi: 10.1190/geo2013-0333.1
  • Grana, D., and M. Bronston. 2015. Probabilistic formulation of AVO modeling and AVO-attribute-based facies classification using well logs. Geophysics 80 no. 4: D343–D354. doi: 10.1190/geo2014-0518.1
  • Grana, D., T. Mukerji, J. Dvorkin, and G. Mavko. 2012. Stochastic inversion of facies from seismic data based on sequential simulations and probability perturbation method. Geophysics 77: M53–M72. doi:10.1190/geo2011-0417.1.
  • Grana, D., E.D. Rossa, and C. D’Agosto. 2009. Petrophysical properties estimation in a crosswell study integrated with statistical rock physics: 2009SEG Annual Meeting, 25–30 October, Houston, Texas, 1805–1809.
  • Gunning, J., and M.E. Glinsky. 2007. Detection of reservoir quality using Bayesian seismic inversion. Geophysics 72: R37–R49. doi:10.1190/1.2713043.
  • Kjønsberg, H., R. Hauge, O. Kolbjørnsen, and A. Buland. 2010. Bayesian Monte Carlo method for seismic predrill prospect assessment. Geophysics 75: O9–O19. doi:10.1190/1.3339678.
  • 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: R69–R78. doi:10.1190/1.2245469.
  • Li, Z., B. Song, J. Zhang, and G. Hu. 2016. Joint elastic and petrophysical inversion using prestack seismic and well log data. Exploration Geophysics 47: 331–340. doi: 10.1071/EG14074
  • Marion, D., and D. Jizba. 1997. Acoustic properties of carbonate rocks: Use in quantitative interpretation of sonic and seismic measurements. In Carbonate Seismology, ed. I. Palaz, and K. J. Marfurt, 75–93. Tulsa, SEG.
  • Mavko, G., T. Mukerji, and J. Dvorkin. 1998. The rock physics handbook, p. 329.
  • 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. doi:10.1190/1.1487078.
  • Rimstad, K., and H. Omre. 2010. Impact of rock-physics depth trends and Markov randomfields on hierarchical Bayesian lithology/fluid prediction. Geophysics 75: R93–R108. doi:10.1190/1.3463475.
  • Saltzer, R., C. Finn, and O. Burtz. 2005. Predicting VShale and porosity using cascaded seismic and rock physics inversion. The Leading Edge 24: 732–736. doi:10.1190/1.1993269.
  • Smith, G.C., and P.M. Gidlow. 1987. Weighted stacking for rock property estimation and detection of gas. Geophysical Prospecting 35 no. 9: 993–1014. doi: 10.1111/j.1365-2478.1987.tb00856.x
  • Spikes, K., T. Mukerji, J. Dvorkin, and G. Mavko. 2007. Probabilistic seismic inversion based on rock-physics models. Geophysics 72 no. 5: R87–R97. doi: 10.1190/1.2760162
  • Stolt, R.H., and A.B. Weglein. 1985. Migration and inversion of seismic data. Geophysics 50 no. 12: 2458–2472. doi: 10.1190/1.1441877
  • Ulvmoen, M., and H. Omre. 2010. Improved resolution in Bayesian lithology/fluid inversion from prestack seismic data and well observations: Part 1—Methodology. Geophysics 75: R21–R35. doi:10.1190/1.3294570.
  • Wang, Y. 1999. Approximations to the Zoeppritz equations and their use in AVO analysis. Geophysics 64 no. 6: 1920–1927. doi: 10.1190/1.1444698
  • Wang, Y. 2003. Seismic amplitude inversion in reflection tomography (Vol. 33). Oxford: Elsevier.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.