Use big data analytics to efficiently drive oil and gas exploration
"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
dataQuantification of uncertainty, including a look at the
statistical and data analytics methods for making predictions and
determining the certainty of those predictionsRisk 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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