Download e-book for kindle: Computer Applications in Resource Estimation. Prediction and by Gabor Gaal, G. Gaal, D. F. Merriam

By Gabor Gaal, G. Gaal, D. F. Merriam

ISBN-10: 0080372457

ISBN-13: 9780080372457

Quantitative source evaluate tools play an expanding position in exploration for petroleum, water and minerals. This quantity provides a world overview at the cutting-edge of the automated method in source exploration. The papers taken from these provided on the symposium are categorized to both strategies, i.e., development research; class recommendations; geostatistics; snapshot research; professional systems/artificial intelligence; inventories; tomography and others, or to assets, i.e., petroleum, water, metals and non-metals

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Additional resources for Computer Applications in Resource Estimation. Prediction and Assessment for Metals and Petroleum

Sample text

52 HERZFELD AND MERRIAM REFERENCES Cole, V. Β,, 1 9 6 2 , Configuration of top Precambrian b a s e m e n t rocks in K a n s a s : Kan­ sas Geol. Survey Oil a n d G a s Invest. No. 26, m a p . Eschner, Τ. , Robinson, J. , and Merriam, D. , 1 9 7 9 , Comparison of spatially filtered geologic maps: summary: Geol. Soc. , pt. 1, v. 6-7. Herzfeld, U. , 1 9 8 8 , M A P C O M P - a F O R T R A N program for w e i g h t e d t h e m a t i c m a p comparison: Computers & Geosciences, v. 1 4 , no. 5, p. 699-713.

H. , 1 9 6 6 , Q u a n t i t a t i v e comparison of contour m a p s : Jour. , v. 7 1 , no. 4, p. 1 1 0 5 - 1 1 1 5 . Merriam, D. , and Sondergard, M. , 1 9 8 8 , A rehability index for t h e pairwise comparison of t h e m a t i c m a p s : Geologisches Jahrbuch, v. A l 0 4 , p. 4 3 3 - 4 4 6 . Merriam, D. , Winchell, R. , a n d Atkinson, W. , 1 9 5 8 , Preliminary regional structure contour m a p on top of t h e L a n s i n g Group ( P e n n s y l v a n i a n ) in K a n s a s : K a n s a s Geol.

U n c e r t a i n t y r e s u l t i n g from one or more m i s s i n g p a t t e r n s (3) w a s e v a l u a t e d by considering t h a t no w e i g h t s for presence of ab­ sence of a feature can be added if it is u n k n o w n . A m e a s u r e of uncertainty w a s b a s e d on differences b e t w e e n posterior probabilities computed w i t h o u t t h e feature, and posterior probabilities computed u s i n g t h e possible outcomes for t h e feature if its presence or absence would be k n o w n .

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Computer Applications in Resource Estimation. Prediction and Assessment for Metals and Petroleum by Gabor Gaal, G. Gaal, D. F. Merriam


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