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Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models (Wiley and SAS Business Series)

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Description

Leverage Big Data analytics methodologies so as 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 the use of the recent methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you the best way 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 on a regular basis applications, this book provides an crucial resource for someone 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 improve geophysical and petrophysical data analysis, increasing the value of your exploration data.

  • Apply data-driven modeling concepts in a geophysical and petrophysical context
  • Learn the best way to get more information out of models and simulations
  • Add value to on a regular basis tasks with the appropriate Big Data application
  • Adjust methodology to suit diverse geophysical and petrophysical contexts

Data-driven modeling specializes in 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 way forward for exploration data analysis.

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