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Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models

ISBN: 978-1-119-30258-2

October 2017

368 pages

Description

UNEARTH A RICHER VALUE FROM GEOPHYSICAL AND PETROPHYSICAL EXPLORATION DATA

The disruptive effects of big data have reached the oil and gas industry and resulted in extraordinary advancements. Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models is your practical guidebook to getting the most out of continually maturing computational intelligence in order to give you the highest quality, real-time information to make the right business decisions.

Written by two thought leaders in the field, this collection of easy-to-follow discussions offers a relevant depth of coverage and clarifying case studies to fully prepare you to use this dependable probabilistic model in the real world to:

  • Add greater value to your exploration data with new tools and methodologies for advanced geophysical and petrophysical data analysis
  • Break down business silos to streamline processes, produce more accurate determinations, and strip away the negative side effects of data compartmentalization
  • Blend traditional deterministic interpretation with data-driven deep learning and data mining to overcome a diverse variety of business challenges

Let your data tell you where profits lie with Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models.

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.