Soft Computing for Reservoir Characterization and Modeling:
The volume is the first comprehensive book in the area of intelligent reservoir characterization written by leading experts in academia and industry. It contains state-of-the-art techniques to be applied in reservoir geophysics, well logging, reservoir geology, and reservoir engineering. It introduc...
Gespeichert in:
Weitere Verfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Heidelberg
Physica-Verlag HD
2002
|
Schriftenreihe: | Studies in Fuzziness and Soft Computing
80 |
Schlagworte: | |
Online-Zugang: | FHI01 BTU01 Volltext |
Zusammenfassung: | The volume is the first comprehensive book in the area of intelligent reservoir characterization written by leading experts in academia and industry. It contains state-of-the-art techniques to be applied in reservoir geophysics, well logging, reservoir geology, and reservoir engineering. It introduces the basic concepts of soft computing techniques including neural networks, fuzzy logic and evolutionary computing applied to reservoir characterization. Some advanced statistical and hybrid models are also presented. The specific applications include different reservoir characterization topics such as prediction of petrophysical properties from well logs and seismic attributes |
Beschreibung: | 1 Online-Ressource (XV, 586 p) |
ISBN: | 9783790818079 |
DOI: | 10.1007/978-3-7908-1807-9 |
Internformat
MARC
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520 | |a The volume is the first comprehensive book in the area of intelligent reservoir characterization written by leading experts in academia and industry. It contains state-of-the-art techniques to be applied in reservoir geophysics, well logging, reservoir geology, and reservoir engineering. It introduces the basic concepts of soft computing techniques including neural networks, fuzzy logic and evolutionary computing applied to reservoir characterization. Some advanced statistical and hybrid models are also presented. The specific applications include different reservoir characterization topics such as prediction of petrophysical properties from well logs and seismic attributes | ||
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Datensatz im Suchindex
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any_adam_object | |
author2 | Wong, Patrick Aminzadeh, Fred Nikravesh, Masoud |
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dewey-full | 551 |
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dewey-ones | 551 - Geology, hydrology, meteorology |
dewey-raw | 551 |
dewey-search | 551 |
dewey-sort | 3551 |
dewey-tens | 550 - Earth sciences |
discipline | Geologie / Paläontologie |
doi_str_mv | 10.1007/978-3-7908-1807-9 |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:04Z |
institution | BVB |
isbn | 9783790818079 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030539256 |
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physical | 1 Online-Ressource (XV, 586 p) |
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publishDate | 2002 |
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publisher | Physica-Verlag HD |
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series2 | Studies in Fuzziness and Soft Computing |
spelling | Soft Computing for Reservoir Characterization and Modeling edited by Patrick Wong, Fred Aminzadeh, Masoud Nikravesh Heidelberg Physica-Verlag HD 2002 1 Online-Ressource (XV, 586 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 80 The volume is the first comprehensive book in the area of intelligent reservoir characterization written by leading experts in academia and industry. It contains state-of-the-art techniques to be applied in reservoir geophysics, well logging, reservoir geology, and reservoir engineering. It introduces the basic concepts of soft computing techniques including neural networks, fuzzy logic and evolutionary computing applied to reservoir characterization. Some advanced statistical and hybrid models are also presented. The specific applications include different reservoir characterization topics such as prediction of petrophysical properties from well logs and seismic attributes Earth Sciences Geology Geophysics/Geodesy Artificial Intelligence (incl. Robotics) Earth Sciences, general Earth sciences Geophysics Artificial intelligence Soft Computing (DE-588)4455833-8 gnd rswk-swf Prospektion (DE-588)4047505-0 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Prospektion (DE-588)4047505-0 s Soft Computing (DE-588)4455833-8 s 2\p DE-604 Wong, Patrick edt Aminzadeh, Fred edt Nikravesh, Masoud edt Erscheint auch als Druck-Ausgabe 9783790824957 https://doi.org/10.1007/978-3-7908-1807-9 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Soft Computing for Reservoir Characterization and Modeling Earth Sciences Geology Geophysics/Geodesy Artificial Intelligence (incl. Robotics) Earth Sciences, general Earth sciences Geophysics Artificial intelligence Soft Computing (DE-588)4455833-8 gnd Prospektion (DE-588)4047505-0 gnd |
subject_GND | (DE-588)4455833-8 (DE-588)4047505-0 (DE-588)4143413-4 |
title | Soft Computing for Reservoir Characterization and Modeling |
title_auth | Soft Computing for Reservoir Characterization and Modeling |
title_exact_search | Soft Computing for Reservoir Characterization and Modeling |
title_full | Soft Computing for Reservoir Characterization and Modeling edited by Patrick Wong, Fred Aminzadeh, Masoud Nikravesh |
title_fullStr | Soft Computing for Reservoir Characterization and Modeling edited by Patrick Wong, Fred Aminzadeh, Masoud Nikravesh |
title_full_unstemmed | Soft Computing for Reservoir Characterization and Modeling edited by Patrick Wong, Fred Aminzadeh, Masoud Nikravesh |
title_short | Soft Computing for Reservoir Characterization and Modeling |
title_sort | soft computing for reservoir characterization and modeling |
topic | Earth Sciences Geology Geophysics/Geodesy Artificial Intelligence (incl. Robotics) Earth Sciences, general Earth sciences Geophysics Artificial intelligence Soft Computing (DE-588)4455833-8 gnd Prospektion (DE-588)4047505-0 gnd |
topic_facet | Earth Sciences Geology Geophysics/Geodesy Artificial Intelligence (incl. Robotics) Earth Sciences, general Earth sciences Geophysics Artificial intelligence Soft Computing Prospektion Aufsatzsammlung |
url | https://doi.org/10.1007/978-3-7908-1807-9 |
work_keys_str_mv | AT wongpatrick softcomputingforreservoircharacterizationandmodeling AT aminzadehfred softcomputingforreservoircharacterizationandmodeling AT nikraveshmasoud softcomputingforreservoircharacterizationandmodeling |