Evaluation of procedures for prediction of unconventional gas in the presence of geologic trends

Natural Resources Research

Volumn 18, Issue 3, 2009, Pages 153-171

  Attanasi, Emil D ^a   Coburn, Timothy C ^b  

^a U S GEOLOGICAL SURVEY   (United States)

^b ABILENE CHRISTIAN UNIVERSITY   (United States)

Author keywords

Continuous gas; Geologic tends; Nonparametric prediction models; Resource assessment

Indexed keywords

EID: 70350638585     PISSN: 15207439     EISSN: 15738981     Source Type: Journal    
DOI: 10.1007/s11053-009-9100-6     Document Type: Article

References (7)

1. Attanasi, E D., T.C. Coburn, and P.A. Freeman, 2006, Prediction of resource volumes at untested locations using simple local prediction models: Nat. Resour. Res., v. 15, no. 4, p. 223-239.
2. Attanasi, E. D., Coburn, T. C. and Freeman, P.A., 2008. Economic decision making and the application of nonparametric prediction models: SPE Reserv. Eval. Eng., v.12, no.6, p, 1089-1096.
3. Hastie, T., Tibshirani, R. and Friedman, J., 2001, Elements of statistical learning: Springer, New York, 531p.
4. Hollander, M. and Wolf, D. A.,1999, Nonparametric statistical methods (2nd edn.): John Wiley & Sons, New York, 787p.
5. Lloyd, C. D., 2006, Local models for spatial analysis. CRC Press. Boca Raton, 244p.
6. Stone, C. J.,1977, Consistent nonparametric regression (with discussions): Ann. Stat., v. 5, no. 4, p. 595-645.
7. Tomczak, M., 1998, Spatial interpolation and its uncertainty using automated anisotropic inverse distance weighting (IDW)-cross-validation/jackknife approach: J. Geogr. Inf. Decis. Anal., v. 2, no.2, pp. 18-30.