Geostatistics for Natural Resources EvaluationThis text fulfills a need for an advanced-level work covering both the theory and application of geostatistics. It covers the most important areas of geostatistical methodology, introducing tools for description, quantitative modeling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation. It also details the theoretical background underlying most GSLIB programs. The tools are applied to an environmental data set, but the book includes a general presentation of algorithms intended for students and practitioners in such diverse fields as soil science, mining, petroleum, remote sensing, hydrogeology, and the environmental sciences. |
Contents
Introduction | 3 |
Inference and modeling | 75 |
Accounting for a single attribute | 125 |
Accounting for secondary information | 185 |
Assessment of spatial uncertainty | 369 |
Summary | 437 |
Appendixes | 443 |
The Jura data | 457 |
| 465 | |
| 477 | |
Common terms and phrases
1.6 Distance km algorithms allows approach attribute average block bottom graph ccdf Cd concentrations Cd data coefficient cokriging colocated combination component computed concentration ppm conditional Consider consists constraint contaminated continuous coregionalization correlation corresponding cost covariance critical cross semivariogram datum defined depends direct distribution equal error estimates example experimental expression Figure function Gaussian given grid hence increases indicator inference Journel Kimmeridgian kriging linear matrix mean measure metal normal score nugget effect ordinary kriging original pairs positive practice primary prior Prob probability proportion random range realizations relation resulting rock sample scattergram secondary semivariogram model shown shows simple simulated soft spatial standardized statistics study area threshold threshold values tion top graph transect transform trend uncertainty values variables variance vector weights zero
Popular passages
Page 474 - RM 1992. Reservoir characterization with probability field simulation. In SPE Annual Conference and Exhibition, Washington, DC, number 24753, pages 927-938, Washington, DC, Society of Petroleum Engineers.
Page 470 - Voltz. 1992. Linear coregionalization model: Tools for estimation and choice of cross-variogram matrix. Mathematical Geology, 24(3):269-286.
Page 468 - 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, 105-120.
Page 470 - P., 1993. Study of spatial and temporal variations of hydrogeochemical variables using factorial kriging analysis. In: Scares, A.
Page 470 - Haldorsen, HH, PJ Brand, and CJ Macdonald. 1988. Review of the stochastic nature of reservoirs. In S. Edwards and PR King, editors, Mathematics in Oil Production, pages 109-209. Clarendon Press, Oxford.
Page 473 - C., 1987, Conditional simulation of the geometry of fluvio-deltaic reservoirs: SPE Paper 16753, presented at the 62nd Annual Technical Conference and Exhibition of the SPE, Dallas.
Page 470 - Isaaks, EH 1984. Risk Qualified Mappings for Hazardous Waste Sites: A Case Study in Distribution-free Geostatistics.
References to this book
Bibliographic information
| Title | Geostatistics for Natural Resources Evaluation Applied geostatistics series |
| Author | Pierre Goovaerts |
| Edition | illustrated, reprint |
| Publisher | Oxford University Press, 1997 |
| ISBN | 0195115384, 9780195115383 |
| Length | 483 pages |
| Subjects | › › Science / Earth Sciences / Geology Science / Life Sciences / Ecology Social Science / Statistics |
| Export Citation | BiBTeX EndNote RefMan |