Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven Models
Use big data analytics to efficiently drive oil and gas exploration and production Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book unde...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Somerset
Wiley
2014
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Ausgabe: | 1st ed |
Schriftenreihe: | Wiley and SAS Business Series
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Schlagworte: | |
Zusammenfassung: | Use big data analytics to efficiently drive oil and gas exploration and production Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization. This spans exploration, development, production and rejuvenation of oil and gas assets. The book serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. This comprehensive resource delves into the three major issues that face the oil and gas industry during the exploration and production stages: Data management, including storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data Quantification of uncertainty, including a look at the statistical and data analytics methods for making predictions and determining the certainty of those predictions Risk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly deal with unknown risks Covering the major issues facing the oil and gas industry in the exploration and production stages, Harness Big Data with Analytics reveals how to model big data to realize efficiencies and business benefits |
Beschreibung: | Description based on publisher supplied metadata and other sources |
Beschreibung: | 1 online resource (410 pages) |
ISBN: | 9781118910894 9781118779316 |
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Datensatz im Suchindex
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any_adam_object | |
author | Holdaway, Keith |
author_facet | Holdaway, Keith |
author_role | aut |
author_sort | Holdaway, Keith |
author_variant | k h kh |
building | Verbundindex |
bvnumber | BV043609203 |
collection | ZDB-30-PQE ZDB-30-PBE |
ctrlnum | (ZDB-30-PQE)EBC1686621 (ZDB-89-EBL)EBL1686621 (ZDB-38-EBR)ebr10872473 (OCoLC)880425786 (DE-599)BVBBV043609203 |
dewey-full | 665.5068 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 665 - Industrial oils, fats, waxes & gases |
dewey-raw | 665.5068 |
dewey-search | 665.5068 |
dewey-sort | 3665.5068 |
dewey-tens | 660 - Chemical engineering |
discipline | Chemie / Pharmazie |
edition | 1st ed |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T07:30:52Z |
institution | BVB |
isbn | 9781118910894 9781118779316 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029023262 |
oclc_num | 880425786 |
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physical | 1 online resource (410 pages) |
psigel | ZDB-30-PQE ZDB-30-PBE |
publishDate | 2014 |
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publisher | Wiley |
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series2 | Wiley and SAS Business Series |
spelling | Holdaway, Keith Verfasser aut Harness Oil and Gas Big Data with Analytics Optimize Exploration and Production with Data Driven Models 1st ed Somerset Wiley 2014 © 2014 1 online resource (410 pages) txt rdacontent c rdamedia cr rdacarrier Wiley and SAS Business Series Description based on publisher supplied metadata and other sources Use big data analytics to efficiently drive oil and gas exploration and production Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization. This spans exploration, development, production and rejuvenation of oil and gas assets. The book serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. This comprehensive resource delves into the three major issues that face the oil and gas industry during the exploration and production stages: Data management, including storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data Quantification of uncertainty, including a look at the statistical and data analytics methods for making predictions and determining the certainty of those predictions Risk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly deal with unknown risks Covering the major issues facing the oil and gas industry in the exploration and production stages, Harness Big Data with Analytics reveals how to model big data to realize efficiencies and business benefits Industrie Statistik Wirtschaft Big data BUSINESS & ECONOMICS / Industries / Energy Industries Gas industry -- Statistics Petroleum industry and trade -- Statistics Petroleum industry and trade Erscheint auch als Druck-Ausgabe Holdaway, Keith Harness Oil and Gas Big Data with Analytics : Optimize Exploration and Production with Data Driven Models |
spellingShingle | Holdaway, Keith Harness Oil and Gas Big Data with Analytics Optimize Exploration and Production with Data Driven Models Industrie Statistik Wirtschaft Big data BUSINESS & ECONOMICS / Industries / Energy Industries Gas industry -- Statistics Petroleum industry and trade -- Statistics Petroleum industry and trade |
title | Harness Oil and Gas Big Data with Analytics Optimize Exploration and Production with Data Driven Models |
title_auth | Harness Oil and Gas Big Data with Analytics Optimize Exploration and Production with Data Driven Models |
title_exact_search | Harness Oil and Gas Big Data with Analytics Optimize Exploration and Production with Data Driven Models |
title_full | Harness Oil and Gas Big Data with Analytics Optimize Exploration and Production with Data Driven Models |
title_fullStr | Harness Oil and Gas Big Data with Analytics Optimize Exploration and Production with Data Driven Models |
title_full_unstemmed | Harness Oil and Gas Big Data with Analytics Optimize Exploration and Production with Data Driven Models |
title_short | Harness Oil and Gas Big Data with Analytics |
title_sort | harness oil and gas big data with analytics optimize exploration and production with data driven models |
title_sub | Optimize Exploration and Production with Data Driven Models |
topic | Industrie Statistik Wirtschaft Big data BUSINESS & ECONOMICS / Industries / Energy Industries Gas industry -- Statistics Petroleum industry and trade -- Statistics Petroleum industry and trade |
topic_facet | Industrie Statistik Wirtschaft Big data BUSINESS & ECONOMICS / Industries / Energy Industries Gas industry -- Statistics Petroleum industry and trade -- Statistics Petroleum industry and trade |
work_keys_str_mv | AT holdawaykeith harnessoilandgasbigdatawithanalyticsoptimizeexplorationandproductionwithdatadrivenmodels |