Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models
Wiley and SAS Business Series 1. Aufl.
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.
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.
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.
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.
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