Mohammad Ghoniem's Books

Visual Analysis of Multilayer Networks

By: Fintan McGee,Benjamin Renoust,Daniel Archambault,Mohammad Ghoniem,Andreas Kerren,Bruno Pinaud

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Visual Analysis of Multilayer Networks

By: Fintan McGee,Benjamin Renoust,Daniel Archambault,Mohammad Ghoniem,Andreas Kerren,Bruno Pinaud

The emergence of multilayer networks as a concept from the field of complex systems provides many new opportunities for the visualization of network complexity, and has also raised many new exciting challenges. The multilayer network model recognizes that the complexity of relationships between entities in real-world systems is better embraced as several interdependent subsystems (or layers) rather than a simple graph approach. Despite only recently being formalized and defined, this model can be applied to problems in the domains of life sciences, sociology, digital humanities, and more. Within the domain of network visualization there already are many existing systems, which visualize data sets having many characteristics of multilayer networks, and many techniques, which are applicable to their visualization. In this Synthesis Lecture, we provide an overview and structured analysis of contemporary multilayer network visualization. This is not only for researchers in visualization, but also for those who aim to visualize multilayer networks in the domain of complex systems, as well as those solving problems within application domains. We have explored the visualization literature to survey visualization techniques suitable for multilayer network visualization, as well as tools, tasks, and analytic techniques from within application domains. We also identify the research opportunities and examine outstanding challenges for multilayer network visualization along with potential solutions and future research directions for addressing them.

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Page Count

134

Publisher

Springer Nature

Published Date

ISBN 10

303102608X

ISBN 13

9783031026089

Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization

Robust Optimization and History Matching

By: Reza Yousefzadeh,Alireza Kazemi,Mohammad Ahmadi,Jebraeel Gholinezhad

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Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization

Robust Optimization and History Matching

By: Reza Yousefzadeh,Alireza Kazemi,Mohammad Ahmadi,Jebraeel Gholinezhad

This book explores methods for managing uncertainty in reservoir characterization and optimization. It covers the fundamentals, challenges, and solutions to tackle the challenges made by geological uncertainty. The first chapter discusses types and sources of uncertainty and the challenges in different phases of reservoir management, along with general methods to manage it. The second chapter focuses on geological uncertainty, explaining its impact on field development and methods to handle it using prior information, seismic and petrophysical data, and geological parametrization. The third chapter deals with reducing geological uncertainty through history matching and the various methods used, including closed-loop management, ensemble assimilation, and stochastic optimization. The fourth chapter presents dimensionality reduction methods to tackle high-dimensional geological realizations. The fifth chapter covers field development optimization using robust optimization, including solutions for its challenges such as high computational cost and risk attitudes. The final chapter introduces different types of proxy models in history matching and robust optimization, discussing their pros and cons, and applications. The book will be of interest to researchers and professors, geologists and professionals in oil and gas production and exploration.

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Page Count

142

Publisher

Springer Nature

Published Date

ISBN 10

3031280792

ISBN 13

9783031280795

Visual Analysis of Multilayer Networks

By: Fintan McGee,Benjamin Renoust,Daniel Archambault,Mohammad Ghoniem,Andreas Kerren,Bruno Pinaud,Margit Pohl,Benoît Otjacques,Guy Melançon,Tatiana von Landesberger

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Visual Analysis of Multilayer Networks

By: Fintan McGee,Benjamin Renoust,Daniel Archambault,Mohammad Ghoniem,Andreas Kerren,Bruno Pinaud,Margit Pohl,Benoît Otjacques,Guy Melançon,Tatiana von Landesberger

This is an overview and structured analysis of contemporary multilayer network visualization. It surveys techniques as well as tools, tasks, and analytics from within application domains. It also identifies research opportunities and examines outstanding challenges along with potential solutions and future research directions for addressing them. Visual Analysis of Multilayer Networks is not only for visualization researchers, but for those who need to visualize multilayer networks in the domain of complex systems, as well as anyone solving problems within application domains. The emergence of multilayer networks as a concept from the field of complex systems provides many new opportunities for the visualization of network complexity, and has also raised many new exciting challenges. The multilayer network model recognizes that the complexity of relationships between entities in real-world systems is better embraced as several interdependent subsystems (or layers) rather than a simple graph approach. Despite only recently being formalized and defined, this model can be applied to problems in the domains of life sciences, sociology, digital humanities, and more. Within the domain of network visualization there already are many existing systems, which visualize data sets having many characteristics of multilayer networks, and many techniques, which are applicable to their visualization.

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Page Count

152

Publisher

Morgan & Claypool Publishers

Published Date

ISBN 10

1636391443

ISBN 13

9781636391441

Book's by Mohammad Ghoniem

Visual Analysis of Multilayer Networks

Visual Analysis of Multilayer Networks

Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization

Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization

Visual Analysis of Multilayer Networks

Visual Analysis of Multilayer Networks

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