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

Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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.

Aus dem Klappentext

The established system of oil and natural gas exploration and production (E&P) is unfit to provide the quality answers today's big data can provide. The voluminous datasets across spatial and temporal variability can't possibly all be considered at once to see probabilistic patterns without computational power. If you've ever felt limited by traditional seismic interpretation methods, Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models is your authoritative solution to integrating big data into your E&P strategies in ways that generate real business impact.

Big data is a powerful tool for breaking down business silos in order to gain unprecedented insight into a variety of business functions, and petrophysics and geophysics are the two siloed engineering groups in the oil and gas industry with highly profitable potential when brought together in data-driven workflows. This groundbreaking guide lays out a clear road map to enabling seismic, subsurface, and reservoir datasets to speak for themselves to illuminate answers unattainable with conventional models.

The highly qualified authors, both geophysicists, specifically wrote this comprehensive volume to shed light on the many profitable benefits of using a data-driven approach to E&P and give practitioners a dependable methodology for getting there. Whether you're reading it cover to cover or using it as a quick reference in the field, the convenient format logically takes you from acquiring insight, applying context, and adding value to everyday tasks using data-driven strategies. Along the way you'll gain:

• An in-depth look at best practices for applying geostatistics to geophysics and petrophysics, complete with informative examples illustrating how solutions work in the real world
• A deep understanding of the specific workflows essential to real-time knowledge for informed business decisions
• Leading-edge knowledge on how artificial intelligence is solving critical E&P challenges with data analysis

Bring your E&P up to the cutting-edge of science with the proven data-driven workflows in Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models.