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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.
Use big data analytics to efficiently drive oil and gas exploration
and production Harness Oil and Gas Big Data with Analytics provides
a complete view of big data and analytics techniques as they are
applied to the oil and gas industry. Including a compendium of
specific case studies, the book underscores the acute need for
optimization in the oil and gas exploration and production stages
and shows how data analytics can provide such optimization. This
spans exploration, development, production and rejuvenation of oil
and gas assets. The book serves as a guide for fully leveraging
data, statistical, and quantitative analysis, exploratory and
predictive modeling, and fact-based management to drive decision
making in oil and gas operations. This comprehensive resource
delves into the three major issues that face the oil and gas
industry during the exploration and production stages: * Data
management, including storing massive quantities of data in a
manner conducive to analysis and effectively retrieving, backing
up, and purging data * Quantification of uncertainty, including a
look at the statistical and data analytics methods for making
predictions and determining the certainty of those predictions *
Risk assessment, including predictive analysis of the likelihood
that known risks are realized and how to properly deal with unknown
risks Covering the major issues facing the oil and gas industry in
the exploration and production stages, Harness Big Data with
Analytics reveals how to model big data to realize efficiencies and
business benefits.
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