Abstract
There are several situations where one may want to study and exploit the covariance between two or more regionalized variables.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bashore, W.M., Araktingi, U.G., Levy, M. and Schweller, W.J. (1994) Importance of a geological framework and seismic data integration for reservoir modeling and subsequent fluid-flow predictions, in J.M. Yarus and R.L. Chambers (eds), Stochastic Modeling and Geostatistics. American Association of Petroleum Geologists, Tulsa, OK, pp. 159–175.
Chambers, R.L., Zinger, M.A. and Kelly, M.C. (1994) Constraining geostatistical reservoir descriptions with 3-D seismic data to reduce uncertainty, in J.M. Yarus and R.L. Chambers (eds), Stochastic Modeling and Geostatistics. American Association of Petroleum Geologists, Tulsa, OK, pp. 143–157.
Chu, J., Xu, W. and Journel, A.G. (1994) 3-D implementation of geostatistical analyses — the Amoco case study, in J.M. Yarus, and R.L. Chambers (eds), Stochastic Modeling and Geostatistics, American Association of Petroleum Geologists, Tulsa, OK, pp. 201–216.
Clark, I., Basinger, K.L. and Harper, W.V. (1989) MUCK — a novel approach to cokriging, in B.E. Buxton, (ed.), Proceedings of the Conference on Geostatistical, Sensitivity, and Uncertainty Methods for Ground-Water Flow and Radionuclide Transport Modeling, Battelle Press, Columbus, OH, pp. 473–493.
Columbia Gas System Service Corporation (1985) Southwest West Virginia Data Book, Issue 2, April 1985, for Gas Research Institute Contract No. 5083–213–0856.
Davis, B.M., and Greenes, K.A. (1983) Estimation using spatially distributed multi variate data: an example with coal quality. Math. Geol. 15, 287–300.
Deutsch, C.V. and Journel, A.G. (1998) GSLIB: Geostatistical Software Library and User’s Guide. Oxford University Press, New York, 369 pp.
Galli, A. and Meunier, G. (1987) Study of a gas reservoir using the external drift method, in G. Matheron and M. Armstrong (eds), Geostatistical Case Studies. D. Reidel, Dordrecht, pp. 105–119.
Myers, D.E. (1982) Matrix formulation of co-kriging. Math. Geol., 14, 249–257.
Myers, D.E. (1983) Estimation of linear combinations and co-kriging. Math. Geol., 15, 633–637.
Myers, D.E. (1991) Pseudo-cross variograms, positive-definiteness, and cokriging. Math. Geol. 23, 805–816.
Papritz, A., Künsch, H.R. and Webster, R. (1993) On the pseudo cross variogram. Math. Geol., 25, 1015–1026.
Wackernagel, H. (1995) Multivariate Geostatistics: An Introduction with Applications. Springer-Verlag, New York, 256 pp.
Xu, W., Tran, T., Srivastava, R.M. and Journel, A.G. (1992) Integrating Seismic Data in Reservoir Modeling: the Collocated Cokriging Alternative. Proceedings of Society of Petroleum Engineers Technical Conference, pp. 833–842.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Hohn, M.E. (1999). Multivariate geostatistics. In: Geostatistics and petroleum geology. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4425-4_4
Download citation
DOI: https://doi.org/10.1007/978-94-011-4425-4_4
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-5901-5
Online ISBN: 978-94-011-4425-4
eBook Packages: Springer Book Archive