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This SpringerBrief mainly focuses on effective big data analytics
for CPS, and addresses the privacy issues that arise on various CPS
applications. The authors develop a series of privacy preserving
data analytic and processing methodologies through data driven
optimization based on applied cryptographic techniques and
differential privacy in this brief. This brief also focuses on
effectively integrating the data analysis and data privacy
preservation techniques to provide the most desirable solutions for
the state-of-the-art CPS with various application-specific
requirements. Cyber-physical systems (CPS) are the "next generation
of engineered systems," that integrate computation and networking
capabilities to monitor and control entities in the physical world.
Multiple domains of CPS typically collect huge amounts of data and
rely on it for decision making, where the data may include
individual or sensitive information, for e.g., smart metering,
intelligent transportation, healthcare, sensor/data aggregation,
crowd sensing etc. This brief assists users working in these areas
and contributes to the literature by addressing data privacy
concerns during collection, computation or big data analysis in
these large scale systems. Data breaches result in undesirable loss
of privacy for the participants and for the entire system,
therefore identifying the vulnerabilities and developing tools to
mitigate such concerns is crucial to build high confidence CPS.
This Springerbrief targets professors, professionals and research
scientists working in Wireless Communications, Networking,
Cyber-Physical Systems and Data Science. Undergraduate and
graduate-level students interested in Privacy Preservation of
state-of-the-art Wireless Networks and Cyber-Physical Systems will
use this Springerbrief as a study guide.
The latest oil and gas well completion technologies and best
practices Increase oil and gas production and maximize revenue
generation using the start-to-finish completion procedures
contained in this hands-on guide. Written by a pair of energy
production experts, Modern Completion Technology for Oil and Gas
Wells introduces each technique, shows how it works, and teaches
how to deploy it effectively. You will get full explanations of the
goals of completion along with detailed examples and case studies
that clearly demonstrate how to successfully meet those goals.
Modern production methods such as hydraulic fracturing, acid
simulation, and intelligent well completions are thoroughly
covered. Coverage includes: *Functions and goals of oil and gas
well completion *Well completion fundamentals *Completion impact in
near-wellbore region to inflow performance *Completions for
fracturing *Completions for acid stimulation *Intelligent well
completion: downhole monitoring and flow control *Completion
designs for production and injection optimization
The Definitive Guide to Petroleum Production Systems-Now Fully
Updated With the Industry's Most Valuable New Techniques Petroleum
Production Systems, Second Edition, is the comprehensive source for
clear and fundamental methods for about modern petroleum production
engineering practice. Written by four leading experts, it
thoroughly introduces modern principles of petroleum production
systems design and operation, fully considering the combined
behavior of reservoirs, surface equipment, pipeline systems, and
storage facilities. Long considered the definitive text for
production engineers, this edition adds extensive new coverage of
hydraulic fracturing, with emphasis on well productivity
optimization. It presents new chapters on horizontal wells and well
performance evaluation, including production data analysis and sand
management. This edition features A structured approach spanning
classical production engineering, well testing, production logging,
artificial lift, and matrix and hydraulic fracture stimulation
Revisions throughout to reflect recent innovations and extensive
feedback from both students and colleagues Detailed coverage of
modern best practices and their rationales Unconventional oil and
gas well design Many new examples and problems Detailed data sets
for three characteristic reservoir types: an undersaturated oil
reservoir, a saturated oil reservoir, and a gas reservoir
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