Artificial Intelligence And Heuristics For Smart Energy Efficiency In Smart Cities

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Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

Mustapha Hatti
Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities Book PDF

Author : Mustapha Hatti
Publisher : Springer Nature
Page : 927 pages
File Size : 53,8 Mb
Release : 2021-11-24
Category : Technology & Engineering
ISBN : 9783030920388

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Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities by Mustapha Hatti Pdf

This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations—mainly ICT—the concept of “Smart City” appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.

Hybrid Intelligent Approaches for Smart Energy

John A,Senthil Kumar Mohan,P. Sanjeevikumar,Yasir Hamid
Hybrid Intelligent Approaches for Smart Energy Book PDF

Author : John A,Senthil Kumar Mohan,P. Sanjeevikumar,Yasir Hamid
Publisher : John Wiley & Sons
Page : 341 pages
File Size : 53,6 Mb
Release : 2022-09-30
Category : Computers
ISBN : 9781119821854

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Hybrid Intelligent Approaches for Smart Energy by John A,Senthil Kumar Mohan,P. Sanjeevikumar,Yasir Hamid Pdf

HYBRID INTELLIGENT APPROACHES FOR SMART ENERGY Green technologies and cleaner energy are two of the most important topics facing our world today, and the march toward efficient energy systems, smart cities, and other green technologies, has been, and continues to be, a long and intricate one. Books like this one keep the veteran engineer and student, alike, up to date on current trends in the technology and offer a reference for the industry for its practical applications. Energy optimization and consumption prediction are necessary to prevent energy waste, schedule energy usage, and reduce the cost. Today, smart computing technologies are slowly replacing the traditional computational methods in energy optimization, consumption, scheduling, and usage. Smart computing is an important core technology in today’s scientific and engineering environment. Smart computation techniques such as artificial intelligence, machine learning, deep learning and Internet of Things (IoT) are the key role players in emerging technologies across different applications, industries, and other areas. These newer, smart computation techniques are incorporated with traditional computation and scheduling methods to reduce power usage in areas such as distributed environment, healthcare, smart cities, agriculture and various functional areas. The scope of this book is to bridge the gap between traditional power consumption methods and modern consumptions methods using smart computation methods. This book addresses the various limitations, issues and challenges of traditional energy consumption methods and provides solutions for various issues using modern smart computation technologies. These smart technologies play a significant role in power consumption, and they are cheaper compared to traditional technologies. The significant limitations of energy usage and optimizations are rectified using smart computations techniques, and the computation techniques are applied across a wide variety of industries and engineering areas. Valuable as reference for engineers, scientists, students, and other professionals across many areas, this is a must-have for any library.

Data and AI Driving Smart Cities

Pedro Ponce,Therese Peffer,Juana Isabel Mendez Garduno,Ursula Eicker,Arturo Molina,Troy McDaniel,Edgard D. Musafiri Mimo,Ramanunni Parakkal Menon,Kathryn Kaspar,Sadam Hussain
Data and AI Driving Smart Cities Book PDF

Author : Pedro Ponce,Therese Peffer,Juana Isabel Mendez Garduno,Ursula Eicker,Arturo Molina,Troy McDaniel,Edgard D. Musafiri Mimo,Ramanunni Parakkal Menon,Kathryn Kaspar,Sadam Hussain
Publisher : Springer Nature
Page : 253 pages
File Size : 44,5 Mb
Release : 2023-07-08
Category : Computers
ISBN : 9783031328282

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Data and AI Driving Smart Cities by Pedro Ponce,Therese Peffer,Juana Isabel Mendez Garduno,Ursula Eicker,Arturo Molina,Troy McDaniel,Edgard D. Musafiri Mimo,Ramanunni Parakkal Menon,Kathryn Kaspar,Sadam Hussain Pdf

This book illustrates how the advanced technology developed for smart cities requires increasing interaction with citizens to motivate and incentive them. Megacities' needs have been encouraging for the creation of smart cities in which the needs of inhabitants are collected using virtualization and digitalization systems. On the other hand, machine learning algorithms have been implemented to provide better solutions for diverse areas in smart cities, such as transportation and health. Besides, conventional electric grids have transformed into smart grids, improving energy quality. Gamification, serious games, machine learning, dynamic interfaces, and social networks are some elements integrated holistically to provide novel solutions to design and develop smart cities. Also, this book presents in a friendly way the concept of social devices that are incorporated into smart homes and buildings. This book is used to understand and design smart cities where citizens are strongly interconnected so the demand response time can be reduced.

Sustainable Smart Cities

Priyanka Mishra,Ghanshyam Singh
Sustainable Smart Cities Book PDF

Author : Priyanka Mishra,Ghanshyam Singh
Publisher : Springer Nature
Page : 257 pages
File Size : 48,6 Mb
Release : 2023-09-04
Category : Technology & Engineering
ISBN : 9783031333545

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Sustainable Smart Cities by Priyanka Mishra,Ghanshyam Singh Pdf

This book discusses the architecture, design and implementation of critical components of Sustainable Smart Cities to support governance, transportation, energy, healthcare, factories, technologies, securities, agriculture and education. The authors discuss the background of sustainable smart cities architectures and technologies and describe the problems that arise in design and implementation. In particular, this book discusses a proposed, 6G-based framework and architecture of IoT based sustainable smart cities. The authors describe the use of artificial intelligence in many zones of cities to increase the system's performance and efficiency. With the detailed discussion of energy management in smart cities, they have also presented how Internet of Vehicles (IoV) uses wireless communication and sensing technology to establish a network of information exchange between vehicles, infrastructure, and the environment. The discussion also includes Internet of Medical Things (IoMT) as well as Unmanned Aerial Vehicles (UAVs) for IoT based sustainable smart cities. This book explores societal, economic, and practical reforms that would promote smart cities, based on a variety of case studies.

Computational Intelligence Techniques for Green Smart Cities

Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh
Computational Intelligence Techniques for Green Smart Cities Book PDF

Author : Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh
Publisher : Springer Nature
Page : 418 pages
File Size : 55,8 Mb
Release : 2022-04-22
Category : Science
ISBN : 9783030964290

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Computational Intelligence Techniques for Green Smart Cities by Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh Pdf

This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens' quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advances Computational intelligence techniques and algorithms enable a computational analysis of enormous data sets to reveal patterns that recur. This information is used to inform and improve decision-making at the municipal level to build smart computational intelligence techniques and sustainable cities for their citizens. Machine intelligence allows us to identify trends (patterns). The smart city could better integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or adding a bike lane. A city can even create a 3D digital twin to test hypothetical projects. This book comprises many state-of-the-art contributions from scientists and practitioners working in machine intelligence and green smart cities. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances in machine intelligence for green and sustainable smart city applications.

Decision Making Using AI in Energy and Sustainability

Gülgün Kayakutlu,M. Özgür Kayalica
Decision Making Using AI in Energy and Sustainability Book PDF

Author : Gülgün Kayakutlu,M. Özgür Kayalica
Publisher : Springer Nature
Page : 307 pages
File Size : 47,5 Mb
Release : 2023-10-16
Category : Business & Economics
ISBN : 9783031383878

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Decision Making Using AI in Energy and Sustainability by Gülgün Kayakutlu,M. Özgür Kayalica Pdf

Artificial intelligence (AI) has a huge impact on science and technology, including energy, where access to resources has been a source of geopolitical conflicts. AI can predict the demand and supply of renewable energy, optimize efficiency in energy systems, and improve the management of natural energy resources, among other things. This book explores the use of AI tools for improving the management of energy systems and providing sustainability with smart cities, smart facilities, smart buildings, smart transportation, and smart houses. Featuring research from International Federation for Information Processing's (IFIP) “AI in Energy and Sustainability” working group, this book provides new models and algorithms for AI applications in energy and sustainability fields. Any short-term, mid-term and long-term forecasting, optimization models, trend foresights and prescriptions based on scenarios are studied in the energy world and the smart systems for sustainability. The contents of this book are valuable for energy researchers, academics, scholars, practitioners and policy makers.

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi
Applications of Big Data and Artificial Intelligence in Smart Energy Systems Book PDF

Author : Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi
Publisher : CRC Press
Page : 318 pages
File Size : 53,5 Mb
Release : 2023-09-29
Category : Science
ISBN : 9781000963823

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Applications of Big Data and Artificial Intelligence in Smart Energy Systems by Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi Pdf

In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, domestic loads, and industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution, automation, energy regulation & control, and energy trading. This book covers the applications of various big data analytics,artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies for modern power systems such as the Internet of Things, Blockchain for smart home and smart city solutions in depth. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Smart meters • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI based smart energy business models • Smart home solutions • Blockchain solutions for smart grids.

Cyberphysical Smart Cities Infrastructures

M. Hadi Amini,Miadreza Shafie-khah
Cyberphysical Smart Cities Infrastructures Book PDF

Author : M. Hadi Amini,Miadreza Shafie-khah
Publisher : John Wiley & Sons
Page : 324 pages
File Size : 51,9 Mb
Release : 2022-01-06
Category : Science
ISBN : 9781119748304

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Cyberphysical Smart Cities Infrastructures by M. Hadi Amini,Miadreza Shafie-khah Pdf

Learn to deploy novel algorithms to improve and secure smart city infrastructure In Cyberphysical Smart Cities Infrastructures: Optimal Operation and Intelligent Decision Making, accomplished researchers Drs. M. Hadi Amini and Miadreza Shafie-Khah deliver a crucial exploration of new directions in the science and engineering of deploying novel and efficient computing algorithms to enhance the efficient operation of the networks and communication systems underlying smart city infrastructure. The book covers special issues on the deployment of these algorithms with an eye to helping readers improve the operation of smart cities. The editors present concise and accessible material from a collection of internationally renowned authors in areas as diverse as computer science, electrical engineering, operation research, civil engineering, and the social sciences. They also include discussions of the use of artificial intelligence to secure the operations of cyberphysical smart city infrastructure and provide several examples of the applications of novel theoretical algorithms. Readers will also enjoy: Thorough introductions to fundamental algorithms for computing and learning, large-scale optimizations, control theory for large-scale systems Explorations of machine learning and intelligent decision making in cyberphysical smart cities, including smart energy systems and intelligent transportation networks In-depth treatments of intelligent decision making in cyberphysical smart city infrastructure and optimization in networked smart cities Perfect for senior undergraduate and graduate students of electrical and computer engineering, computer science, civil engineering, telecommunications, information technology, and business, Cyberphysical Smart Cities Infrastructures is an indispensable reference for anyone seeking to solve real-world problems in smart cities.

Intelligent Green Technologies for Sustainable Smart Cities

Suman Lata Tripathi,Souvik Ganguli,Abhishek Kumar,Tengiz Magradze
Intelligent Green Technologies for Sustainable Smart Cities Book PDF

Author : Suman Lata Tripathi,Souvik Ganguli,Abhishek Kumar,Tengiz Magradze
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 42,6 Mb
Release : 2022-09-14
Category : Science
ISBN : 9781119816065

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Intelligent Green Technologies for Sustainable Smart Cities by Suman Lata Tripathi,Souvik Ganguli,Abhishek Kumar,Tengiz Magradze Pdf

Intelligent Green Technologies for Sustainable Smart Cities Presenting the concepts and fundamentals of smart cities and developing “green” technologies, this volume, written and edited by a global team of experts, also goes into the practical applications that can be utilized across multiple disciplines and industries, for both the engineer and the student. Smart cities and green technologies are quickly becoming two of the most important areas of development facing today’s engineers, scientists, students, and other professionals. Written by a team of experts in these fields, this outstanding new volume tackles the problem of detailing advances in smart city development, green technologies, and where the two areas intersect to create innovation and revolutionary solutions. This group of hand-selected and vetted papers deals with the fundamental concepts of adapting artificial intelligence, machine learning techniques with green technologies, and many other advances in concepts related to these key areas. Including the most recent research and developments available, this book is an extraordinary source of knowledge for students, engineers seeking the latest research, and facilities and other professionals working in the area of green technologies and challenges and solutions in urban planning and smart city development.

Internet of Everything and Big Data

Salah-ddine Krit,Mohamed Elhoseny,Valentina Emilia Balas,Rachid Benlamri,Marius M. Balas
Internet of Everything and Big Data Book PDF

Author : Salah-ddine Krit,Mohamed Elhoseny,Valentina Emilia Balas,Rachid Benlamri,Marius M. Balas
Publisher : CRC Press
Page : 147 pages
File Size : 43,7 Mb
Release : 2021-07-25
Category : Computers
ISBN : 9781000180350

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Internet of Everything and Big Data by Salah-ddine Krit,Mohamed Elhoseny,Valentina Emilia Balas,Rachid Benlamri,Marius M. Balas Pdf

There currently is no in-depth book dedicated to the challenge of the Internet of Everything and Big Data technologies in smart cities. Humankind today is confronting a critical worldwide portability challenge and the framework that moves cities must keep pace with the innovation. Internet of Everything and Big Data: Major Challenges in Smart Cities reviews the applications, technologies, standards, and other issues related to smart cities. This book is dedicated to addressing the major challenges in realizing smart cities and sensing platforms in the era of Big Data cities and Internet of Everything. Challenges vary from cost and energy efficiency to availability and service quality. This book examines security issues and challenges, addresses the total information science challenges, covers exploring and creating IoT environment-related sales adaptive systems, and investigates basic and high-level concepts using the latest techniques implemented by researchers and businesses. The book is written for analysts, researchers, and specialists who are working on the future generation of the technologies. It will serve as a valuable guide for those in the industry, and students as well.

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi
Applications of Big Data and Artificial Intelligence in Smart Energy Systems Book PDF

Author : Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi
Publisher : CRC Press
Page : 250 pages
File Size : 53,8 Mb
Release : 2023-11-23
Category : Computers
ISBN : 9781000963977

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Applications of Big Data and Artificial Intelligence in Smart Energy Systems by Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi Pdf

In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, and domestic & industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution automation, energy regulation and control, and energy trading. This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies such as the Internet of Things, blockchain, etc. for smart home solutions, and smart city solutions in depth in the context of the modern power systems. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI business models.

Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy

S. Manoharan,Alexandru Tugui,Zubair Baig
Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy Book PDF

Author : S. Manoharan,Alexandru Tugui,Zubair Baig
Publisher : Springer
Page : 0 pages
File Size : 49,8 Mb
Release : 2024-07-21
Category : Computers
ISBN : 3031614747

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Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy by S. Manoharan,Alexandru Tugui,Zubair Baig Pdf

This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future. · Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry. · Presents recent research in the sustainable transformation of engineering and technological systems. · Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.

AI-Based Services for Smart Cities and Urban Infrastructure

Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan
AI Based Services for Smart Cities and Urban Infrastructure Book PDF

Author : Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan
Publisher : IGI Global
Page : 353 pages
File Size : 55,6 Mb
Release : 2020-09-04
Category : Computers
ISBN : 9781799850250

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AI-Based Services for Smart Cities and Urban Infrastructure by Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan Pdf

Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.

Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities

Panos M. Pardalos,Stamatina Th. Rassia,Arsenios Tsokas
Artificial Intelligence Machine Learning and Optimization Tools for Smart Cities Book PDF

Author : Panos M. Pardalos,Stamatina Th. Rassia,Arsenios Tsokas
Publisher : Springer Nature
Page : 239 pages
File Size : 41,9 Mb
Release : 2022-01-09
Category : Mathematics
ISBN : 9783030844592

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Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities by Panos M. Pardalos,Stamatina Th. Rassia,Arsenios Tsokas Pdf

This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities. Special features include: New research on the design of city elements and smart systems with respect to new technologies and scientific thinking Discussions on the theoretical background that lead to smart cities for the future New technologies and principles of research that can promote ideas of artificial intelligence and machine learning in optimized urban environments The book engages students and researchers in the subjects of artificial intelligence, machine learning, and optimization tools in smart sustainable cities as eminent international experts contribute their research results and thinking in its chapters. Overall, its audience can benefit from a variety of disciplines including, architecture, engineering, physics, mathematics, computer science, and related fields.

Unconventional Hydrocarbon Resources: Prediction and Modeling Using Artificial Intelligence Approaches

Sid-Ali Ouadfeul
Unconventional Hydrocarbon Resources Prediction and Modeling Using Artificial Intelligence Approaches Book PDF

Author : Sid-Ali Ouadfeul
Publisher : John Wiley & Sons
Page : 324 pages
File Size : 42,6 Mb
Release : 2023-08-22
Category : Science
ISBN : 9781119389361

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Unconventional Hydrocarbon Resources: Prediction and Modeling Using Artificial Intelligence Approaches by Sid-Ali Ouadfeul Pdf

Unconventional Hydrocarbon Resources Enables readers to save time and effort in exploring and exploiting shale gas and other unconventional fossil fuels by making use of advanced predictive tools Unconventional Hydrocarbon Resources highlights novel concepts and techniques for the geophysical exploration of shale and other tight hydrocarbon reservoirs, focusing on artificial intelligence approaches for modeling and predicting key reservoir properties such as pore pressure, water saturation, and wellbore stability. Numerous application examples and case studies present real-life data from different unconventional hydrocarbon fields such as the Barnett Shale (USA), the Williston Basin (USA), and the Berkine Basin (Algeria). Unconventional Hydrocarbon Resources explores a wide range of reservoir properties, including modeling of the geomechanics of shale gas reservoirs, petrophysics analysis of shale and tight sand gas reservoirs, and prediction of hydraulic fracturing effects, fluid flow, and permeability. Sample topics covered in Unconventional Hydrocarbon Resources include: Calculation of petrophysical parameter curves for non-conventional reservoir modeling and characterization Comparison of the Levenberg-Marquardt and conjugate gradient learning methods for total organic carbon prediction in the Barnett shale gas reservoir Use of pore effective compressibility for quantitative evaluation of low resistive pays and identifying sweet spots in shale reservoirs Pre-drill pore pressure estimation in shale gas reservoirs using seismic genetic inversion Using well-log data to classify lithofacies of a shale gas reservoir Unconventional Hydrocarbon Resources is a valuable resource for researchers and professionals working on unconventional hydrocarbon exploration and in geoengineering projects.