Comparing Permeability Estimates of a Brazilian Carbonate Reservoir Using Zoning, Multiple Regression and Alternating Conditional Expectations

References

1. Almeida.P.
   2015. Integration of geological attributes and well logs in the permeability estimate of a carbonatic reservoir of Campos Basin. Master Thesis, UENF, Macae, 51 p. (In Portuguese).
   [Google Scholar]
2. Amaefule, J., Altunbay, M., Tiab, D., Kersey, D. and Keelan, D.
   1993. Enhanced reservoir description: using core and log data to identify hydraulic (flow) units and predict permeability in uncored intervals/wells. 68th SPE Annual Technical Conference and Exhibition, Houston, Texas, SPE Paper26436.
   [Google Scholar]
3. Barman, I., Sharma, A., Walker, R. and Datta-Gupta, A.
   1998. Permeability predictions in carbonate reservoirs using optimal non-parametric transformations: An application at the salt creek field unit, Kent County, TX. In: Permian Basin Oil & Gas Recovery Conference, p. 113–125.
   [Google Scholar]
4. Breiman, L.
   1993. Fitting additive models to regression data: diagnostics and alternative views. Computational Statistics & Data Analysis, Elsevier, v. 15, n. 1, p. 13–46.
   [Google Scholar]
5. Datta-Gupta, A., Xue, G. and Lee, S.
   1999. Memoir 71, Chapter 27: nonparametric transformations for data correlation and integration: from theory to practice. AAPG Special Volumes.
   [Google Scholar]
6. Harrell, F.
   2015, Regression modeling strategies with applications to linear models, logistic regression, and survival analysis. Springer-Verlag, Cham, 582 p.
   [Google Scholar]
7. Huang, Z., Shimeld, J., Williamson, M. and Katsube, J.
   1996. Permeability prediction with artificial neural network modeling in the Venture gas field, offshore Eastern Canada. Geophysics, SEG, v. 61, n. 2, p. 422–436.
   [Google Scholar]
8. Jensen, J. and Lake, L.
   1985. Optimization of regression-based porosity-permeability predictions. CWLS 10th Symposium, Calgary, Alberta, Canada.
   [Google Scholar]
9. Lee, S. and Datta-Gupta, A.
   1999. Electrofacies characterization and permeability predictions in carbonate reservoirs: Role of multivariate analysis and nonparametric regression. SPE Annual Technical Conference and Exhibition.
   [Google Scholar]
10. Perez, H. and Mishra, S.
    2005. The role of electrofacies, lithofacies, and hydraulic flow units in permeability predictions from well logs: a comparative analysis using classification trees. SPE Reservoir Evaluation & Engineering, 8(2): 143 -155.
    [Google Scholar]
11. Wendt, W., Sakurai, S. and Nelson, P.
    1986. Permeability prediction from well logs using multiple regression. Reservoir Characterization, Edited by Lake, L. and Carroll, H. Jr., Academic Press, Inc., Orlando, Florida, 659 p.
    [Google Scholar]