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140122 ||| eng |
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|a 9789401144254
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| 100 |
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|a Hohn, M.E.
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| 245 |
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|a Geostatistics and Petroleum Geology
|h Elektronische Ressource
|c by M.E. Hohn
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| 250 |
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|a 2nd ed. 1999
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| 260 |
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|a Dordrecht
|b Springer Netherlands
|c 1999, 1999
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| 300 |
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|a XII, 235 p
|b online resource
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| 505 |
0 |
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|a 1 Overview of geostatistics -- 1.1 A few definitions -- 1.2 A simple geostatistical case study -- 1.3 Geostatistics on the computer -- 1.4 Computer software -- 1.5 Data sources -- Further reading -- References -- 2 The semivariogram -- 2.1 Basic calculation and principles -- 2.2 Modeling an observed semivariogram -- 2.3 Hole effects -- 2.4 Anisotropic models -- 2.5 Three-dimensional examples -- 2.6 Outliers, normality, and robustness -- 2.7 Automated fitting of semivariograms -- 2.8 Summary -- References -- 3 Linear estimation -- 3.1 Kriging equations -- 3.2 Examples -- 3.3 Kriging in three dimensions -- 3.4 Summary -- References -- 4 Multivariate geostatistics -- 4.1 Coregionalization -- 4.2 Cokriging equations -- 4.3 Modeling a coregionalization -- 4.4 A simple example -- 4.5 Initial potentials and cumulative production -- 4.6 A stratigraphic application -- 4.7 Kriging with external drift -- 4.8 Collocated cokriging -- 4.9 Difficulties and solutions -- 4.10 Summary -- References -- 5 Nonlinear estimation: disjunctive and lognormal kriging -- 5.1 Disjunctive kriging -- 5.2 Example: initial potential -- 5.3 Lognormal kriging -- 5.4 Summary -- References -- 6 Indicator kriging -- 6.1 Analysis of an indicator variable -- 6.2 Indicator kriging with multiple cutoffs -- 6.3 Examples -- 6.4 Median kriging -- 6.5 Cumulative distribution functions -- 6.6 Soft data -- 6.7 Facies modeling -- 6.8 Probability kriging -- 6.9 Summary -- References -- 7 Conditional simulation -- 7.1 Methods of conditional simulation -- 7.2 Examples -- 7.3 Which method to use? -- 7.4 Summary -- References -- Appendices
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| 653 |
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|a Geology
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| 653 |
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|a Geotechnical Engineering and Applied Earth Sciences
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| 653 |
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|a Statistics
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| 653 |
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|a Geotechnical engineering
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| 653 |
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|a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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| 653 |
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|a Earth sciences
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| 653 |
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|a Earth Sciences
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
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|a Computer Methods in the Geosciences
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| 028 |
5 |
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|a 10.1007/978-94-011-4425-4
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| 856 |
4 |
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|u https://doi.org/10.1007/978-94-011-4425-4?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 519
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| 520 |
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|a This is an extensive revision of a book that I wrote over ten years ago. My purpose then has remained unchanged: to introduce the concepts and methods of spatial statistics to geologists and engineers working with oil and gas data. I believe I have accomplished more than that; just as I learned the basics of variography and kriging from books for mining engineers, this book could be used by scientists from many fields to learn the basics of the subject. I have tried to adopt an introductory and practical approach to the subject, knowing that books that detail the theory are available. What I say and write comes from my own experience. As a geologist working in the public sector, I have had the privilege of using geostatistics in funded research, in answering service requests from industry, and in short courses. I have taught geostatistics in the university classroom, and advised graduate students in theses and dissertations. I have attempted to anticipate the needs and questions of theenquiring scientist because I was there myself, and know the kind of questions and concerns I had at the time I was trying to learn the subject
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