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Author Holdaway, Keith R., author.

Title Enhance oil & gas exploration with data-driven geophysical and petrophysical models / Keith R. Holdaway, Duncan H.B. Irving.

Publication Info. Hoboken, New Jersey : Wiley, [2018]

Copies

Location Call No. OPAC Message Status
 Axe Books 24x7 Engineering E-Book  Electronic Book    ---  Available
Description 1 online resource.
text txt rdacontent
computer n rdamedia
online resource nc rdacarrier
data file rda
Bibliography Includes bibliographical references and index.
Note Online resource; title from digital title page (viewed on November 09, 2017).
Summary "Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you how to leverage continually maturing computational intelligence to gain deeper insight from specific exploration data. Case studies illustrate the value propositions of this alternative analytical workflow, and in-depth discussion addresses the many Big Data issues in geophysics and petrophysics. From data collection and context through real-world everyday applications, this book provides an essential resource for anyone involved in oil and gas exploration. Recent and continual advances in machine learning are driving a rapid increase in empirical modeling capabilities. This book shows you how these new tools and methodologies can enhance geophysical and petrophysical data analysis, increasing the value of your exploration data. Apply data-driven modeling concepts in a geophysical and petrophysical context Learn how to get more information out of models and simulations Add value to everyday tasks with the appropriate Big Data application Adjust methodology to suit diverse geophysical and petrophysical contexts Data-driven modeling focuses on analyzing the total data within a system, with the goal of uncovering connections between input and output without definitive knowledge of the system's physical behavior. This multi-faceted approach pushes the boundaries of conventional modeling, and brings diverse fields of study together to apply new information and technology in new and more valuable ways. Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models takes you beyond traditional deterministic interpretation to the future of exploration data analysis"-- Provided by publisher.
Subject Petroleum -- Prospecting -- Mathematics.
Prospecting -- Geophysical methods -- Mathematics.
Petroleum -- Geology -- Mathemaical models.
BUSINESS & ECONOMICS -- Industries -- Energy Industries.
TECHNOLOGY & ENGINEERING -- Mining.
Prospecting -- Geophysical methods -- Mathematics. (OCoLC)fst01079433
Genre/Form Electronic books.
Added Author Irving, Duncan H. B., 1971- author.
Added Title Enhance oil and gas exploration with data-driven geophysical and petrophysical models
Other Form: Print version: Holdaway, Keith R. Enhance oil & gas exploration with data-driven geophysical and petrophysical models. Hoboken, New Jersey : Wiley, 2018 9781119215103 (DLC) 2017027921
ISBN 9781119302599 (electronic bk.)
1119302595 (electronic bk.)
9781119394228 (electronic bk.)
1119394228 (electronic bk.)
9781119302582
1119302587
9781119215103 (hardcover)
1119215102
Standard No. AU@ 000060677873
CHBIS 011150836
CHNEW 000973196
CHVBK 503247766
CHVBK 508818648

 
    
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