Harness Oil and Gas Big Data with Analytics

Optimize Exploration and Production with Data-Driven Models de

Éditeur :

Wiley


Collection :

Wiley and SAS Business Series

Paru le : 2014-05-05

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Description
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.
Pages
384 pages
Collection
Wiley and SAS Business Series
Parution
2014-05-05
Marque
Wiley
EAN papier
9781118779316
EAN PDF
9781118910955

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
384
Taille du fichier
15585 Ko
Prix
67,63 €
EAN EPUB
9781118910894

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
384
Taille du fichier
25518 Ko
Prix
67,63 €