Geostatistical Case Studies:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
1987
|
| Schriftenreihe: | Quantitative Geology and Geostatistics
2 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | It is now nearly 25 years since the first textbook on geostatistics ("Traitj de gjostatistique appliquje" by G. Matheron) appeared in print in 1962. In that time geostatis tics has grown from an arcane theory regarded with scepticism by statisticians and miners alike, to a reputable scientific disci pline which is routinely used in the geosciences. In the mining industry, in particularly, comparisons between predicted reserve estimates and actual production figures have proved its worth. Few now doubt its usefulness as a statistical tool in the earth sciences. Over the past quarter of a century, many geostatistical case studies have been published but the vast majority of these are routine applications of kriging. Our objective with this volume is to present a series of innovative applications of geostatistics. These range from a careful variographic analysis on uranium data, through detailed studies on geologically complex deposits right up to the latest nonlinear methods applied to deposits with highly skew data distributions. Applications of new techniques such as the external drift method for combining well data with seismic information have also been included. Throughout the volume the accent has been put on how to apply geostatistics in practice. Notation has been kept to a mininmum and mathematical details have been relegated to annexes. We hope that this will encourage readers to put the more sophis ticated techniques into practice in their own fields |
| Beschreibung: | 1 Online-Ressource (VII, 248 p) |
| ISBN: | 9789400933835 9789401080187 |
| ISSN: | 0924-1973 |
| DOI: | 10.1007/978-94-009-3383-5 |
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| 500 | |a It is now nearly 25 years since the first textbook on geostatistics ("Traitj de gjostatistique appliquje" by G. Matheron) appeared in print in 1962. In that time geostatis tics has grown from an arcane theory regarded with scepticism by statisticians and miners alike, to a reputable scientific disci pline which is routinely used in the geosciences. In the mining industry, in particularly, comparisons between predicted reserve estimates and actual production figures have proved its worth. Few now doubt its usefulness as a statistical tool in the earth sciences. Over the past quarter of a century, many geostatistical case studies have been published but the vast majority of these are routine applications of kriging. Our objective with this volume is to present a series of innovative applications of geostatistics. These range from a careful variographic analysis on uranium data, through detailed studies on geologically complex deposits right up to the latest nonlinear methods applied to deposits with highly skew data distributions. Applications of new techniques such as the external drift method for combining well data with seismic information have also been included. Throughout the volume the accent has been put on how to apply geostatistics in practice. Notation has been kept to a mininmum and mathematical details have been relegated to annexes. We hope that this will encourage readers to put the more sophis ticated techniques into practice in their own fields | ||
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Datensatz im Suchindex
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:14Z |
| institution | BVB |
| isbn | 9789400933835 9789401080187 |
| issn | 0924-1973 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027859120 |
| oclc_num | 863734994 |
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| physical | 1 Online-Ressource (VII, 248 p) |
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| publishDate | 1987 |
| publishDateSearch | 1987 |
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| publisher | Springer Netherlands |
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| series2 | Quantitative Geology and Geostatistics |
| spelling | Matheron, G. Verfasser aut Geostatistical Case Studies edited by G. Matheron, M. Armstrong Dordrecht Springer Netherlands 1987 1 Online-Ressource (VII, 248 p) txt rdacontent c rdamedia cr rdacarrier Quantitative Geology and Geostatistics 2 0924-1973 It is now nearly 25 years since the first textbook on geostatistics ("Traitj de gjostatistique appliquje" by G. Matheron) appeared in print in 1962. In that time geostatis tics has grown from an arcane theory regarded with scepticism by statisticians and miners alike, to a reputable scientific disci pline which is routinely used in the geosciences. In the mining industry, in particularly, comparisons between predicted reserve estimates and actual production figures have proved its worth. Few now doubt its usefulness as a statistical tool in the earth sciences. Over the past quarter of a century, many geostatistical case studies have been published but the vast majority of these are routine applications of kriging. Our objective with this volume is to present a series of innovative applications of geostatistics. These range from a careful variographic analysis on uranium data, through detailed studies on geologically complex deposits right up to the latest nonlinear methods applied to deposits with highly skew data distributions. Applications of new techniques such as the external drift method for combining well data with seismic information have also been included. Throughout the volume the accent has been put on how to apply geostatistics in practice. Notation has been kept to a mininmum and mathematical details have been relegated to annexes. We hope that this will encourage readers to put the more sophis ticated techniques into practice in their own fields Statistics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik Armstrong, M. Sonstige oth https://doi.org/10.1007/978-94-009-3383-5 Verlag Volltext |
| spellingShingle | Matheron, G. Geostatistical Case Studies Statistics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik |
| title | Geostatistical Case Studies |
| title_auth | Geostatistical Case Studies |
| title_exact_search | Geostatistical Case Studies |
| title_full | Geostatistical Case Studies edited by G. Matheron, M. Armstrong |
| title_fullStr | Geostatistical Case Studies edited by G. Matheron, M. Armstrong |
| title_full_unstemmed | Geostatistical Case Studies edited by G. Matheron, M. Armstrong |
| title_short | Geostatistical Case Studies |
| title_sort | geostatistical case studies |
| topic | Statistics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik |
| topic_facet | Statistics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik |
| url | https://doi.org/10.1007/978-94-009-3383-5 |
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