Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models
Language: English
Published by Wiley, 2017
- Hardcover
- Used
Seller: Three Hills Books, Three Hills, AB, CanadaThree Hills Books
AbeBooks seller since February 11, 2025
Condition: Used - Very good
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Light soiling on page edge with some light wear on jacket edge.: 368 pages.
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- Title
- Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models
- Author
- Holdaway, Keith R. & Duncan H. B. Irving
- Publisher
- Wiley
- Publication year
- 2017
- Condition
- Very Good
- Dust jacket
- Very Good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1119215102
- ISBN 13
- 9781119215103
- Seller catalogs
- Assorted
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.
"Synopsis" may belong to another edition of this title.
About the Author
KEITH R. HOLDAWAY is advisory industry consultant and principal solutions architect at SAS. He holds seven patents and is the author of Harness Oil and Gas Big Data with Analytics.
DUNCAN H. B. IRVING is a practice partner for oil and gas consulting at Teradata. He publishes regularly on big data analytics applied to the upstream domain.
"About the title" may belong to another edition of this title.
Three Hills Books
Three Hills, AB, Canada
AbeBooks seller since February 11, 2025
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