Geostatistics and Petroleum Geology pp 101-137 | Cite as
Linear Estimation
Chapter
Abstract
Drawing a contour map by hand or by computer uses interpolation. Algorithms for this interpolation range from fitting splines, computing trend surfaces, to drawing flat surfaces within triangulations, all requiring some criterion to be satisfied. The geologist working by hand interpolates between pairs of points, draws connecting contours, does some smoothing to make the map look “real,” and perhaps works in some trends derived from geological experience.
Keywords
Control Point Estimation Variance Estimation Standard Error Nugget Effect Initial Potential
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Preview
Unable to display preview. Download preview PDF.
References
- Clark, I., 1986, The Art of Cross Validation in Geostatistical Applications, Proc. 19th APCOM, 211–220.Google Scholar
- David M., 1977, Geostatistical Ore Reserve Estimation, Elsevier, New York, 364 p.Google Scholar
- Davis, B. M., 1987, Use and Abuses of Cross-Validation in Geostatistics. Math. Geology 19:241–248.CrossRefGoogle Scholar
- Gumati, Y. D., and W. H. Kanes, 1985, Early Tertiary Subsidence and Sedimentary Facies—Northern Sirte Basin, Libya, Am. Assoc. Pet. Geol. Bull. 69:39–52.Google Scholar
- Journel, A. G., and C. J. Huijbregts, 1978, Mining Geostatistics, Academic Press, London, 600 p.Google Scholar
- Parker, H. M., A. G. Journel, and W. C. Dixon, 1979, The Use of the Conditional Lognormal Probability Distribution for the Estimation of Open-pit Ore Reserves in Stratabound Uranium Deposits—A Case Study, Proc. 16th APCOM, 133–148.Google Scholar
Copyright information
© Van Nostrand Reinhold 1988