Applied statistical modeling and data analytics: a practical guide for the petroleum geosciences
Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum GeosciencesïÅưprovides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" refer...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge, MA
Elsevier
[2018]
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Ausgabe: | First edition |
Schlagworte: | |
Online-Zugang: | FAW01 Volltext |
Zusammenfassung: | Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum GeosciencesïÅưprovides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification. Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the book focuses on fundamentals and practical examples of such key topics as multivariate analysis, uncertainty quantification, data-driven modeling, and experimental design and response surface analysis. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques. The book will also be useful for professionals dealing with subsurface flow problems in hydrogeology, geologic carbon sequestration, and nuclear waste disposal |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | 1 online resource |
ISBN: | 9780128032800 0128032804 |
Internformat
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520 | |a Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum GeosciencesïÅưprovides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification. Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the book focuses on fundamentals and practical examples of such key topics as multivariate analysis, uncertainty quantification, data-driven modeling, and experimental design and response surface analysis. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques. The book will also be useful for professionals dealing with subsurface flow problems in hydrogeology, geologic carbon sequestration, and nuclear waste disposal | ||
650 | 7 | |a TECHNOLOGY & ENGINEERING / Mining |2 bisacsh | |
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Datensatz im Suchindex
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any_adam_object | |
author | Mishra, Srikanta 1958- Datta-Gupta, Akhil 1960- |
author_facet | Mishra, Srikanta 1958- Datta-Gupta, Akhil 1960- |
author_role | aut aut |
author_sort | Mishra, Srikanta 1958- |
author_variant | s m sm a d g adg |
building | Verbundindex |
bvnumber | BV045382626 |
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dewey-full | 622/.3382 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 622 - Mining and related operations |
dewey-raw | 622/.3382 |
dewey-search | 622/.3382 |
dewey-sort | 3622 43382 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Bergbau / Hüttenwesen |
edition | First edition |
format | Electronic eBook |
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id | DE-604.BV045382626 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:16:38Z |
institution | BVB |
isbn | 9780128032800 0128032804 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030768959 |
oclc_num | 1006380891 |
open_access_boolean | |
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physical | 1 online resource |
psigel | ZDB-33-ESD ZDB-33-EBS ZDB-33-ESD FAW_PDA_ESD |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | Elsevier |
record_format | marc |
spelling | Mishra, Srikanta 1958- Verfasser aut Applied statistical modeling and data analytics a practical guide for the petroleum geosciences Srikanta Mishra, Akhil Datta-Gupta First edition Cambridge, MA Elsevier [2018] © 2018 1 online resource txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum GeosciencesïÅưprovides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification. Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the book focuses on fundamentals and practical examples of such key topics as multivariate analysis, uncertainty quantification, data-driven modeling, and experimental design and response surface analysis. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques. The book will also be useful for professionals dealing with subsurface flow problems in hydrogeology, geologic carbon sequestration, and nuclear waste disposal TECHNOLOGY & ENGINEERING / Mining bisacsh Petroleum / Geology / Data processing fast Petroleum / Geology / Statistical methods fast Petroleum Geology Statistical methods Petroleum Geology Data processing Datta-Gupta, Akhil 1960- aut Erscheint auch als Druck-Ausgabe 9780128032794 http://www.sciencedirect.com/science/book/9780128032794 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Mishra, Srikanta 1958- Datta-Gupta, Akhil 1960- Applied statistical modeling and data analytics a practical guide for the petroleum geosciences TECHNOLOGY & ENGINEERING / Mining bisacsh Petroleum / Geology / Data processing fast Petroleum / Geology / Statistical methods fast Petroleum Geology Statistical methods Petroleum Geology Data processing |
title | Applied statistical modeling and data analytics a practical guide for the petroleum geosciences |
title_auth | Applied statistical modeling and data analytics a practical guide for the petroleum geosciences |
title_exact_search | Applied statistical modeling and data analytics a practical guide for the petroleum geosciences |
title_full | Applied statistical modeling and data analytics a practical guide for the petroleum geosciences Srikanta Mishra, Akhil Datta-Gupta |
title_fullStr | Applied statistical modeling and data analytics a practical guide for the petroleum geosciences Srikanta Mishra, Akhil Datta-Gupta |
title_full_unstemmed | Applied statistical modeling and data analytics a practical guide for the petroleum geosciences Srikanta Mishra, Akhil Datta-Gupta |
title_short | Applied statistical modeling and data analytics |
title_sort | applied statistical modeling and data analytics a practical guide for the petroleum geosciences |
title_sub | a practical guide for the petroleum geosciences |
topic | TECHNOLOGY & ENGINEERING / Mining bisacsh Petroleum / Geology / Data processing fast Petroleum / Geology / Statistical methods fast Petroleum Geology Statistical methods Petroleum Geology Data processing |
topic_facet | TECHNOLOGY & ENGINEERING / Mining Petroleum / Geology / Data processing Petroleum / Geology / Statistical methods Petroleum Geology Statistical methods Petroleum Geology Data processing |
url | http://www.sciencedirect.com/science/book/9780128032794 |
work_keys_str_mv | AT mishrasrikanta appliedstatisticalmodelinganddataanalyticsapracticalguideforthepetroleumgeosciences AT dattaguptaakhil appliedstatisticalmodelinganddataanalyticsapracticalguideforthepetroleumgeosciences |