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Meta-attributes and Artificial Networking

Author: Kalachand Sain

Publisher: John Wiley & Sons

Published: 2022-06-24

Total Pages: 292

ISBN-13: 1119481767

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Applying machine learning to the interpretation of seismic data Seismic data gathered on the surface can be used to generate numerous seismic attributes that enable better understanding of subsurface geological structures and stratigraphic features. With an ever-increasing volume of seismic data available, machine learning augments faster data processing and interpretation of complex subsurface geology. Meta-Attributes and Artificial Networking: A New Tool for Seismic Interpretation explores how artificial neural networks can be used for the automatic interpretation of 2D and 3D seismic data. Volume highlights include: Historic evolution of seismic attributes Overview of meta-attributes and how to design them Workflows for the computation of meta-attributes from seismic data Case studies demonstrating the application of meta-attributes Sets of exercises with solutions provided Sample data sets available for hands-on exercises The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

Book Synopsis Meta-attributes and Artificial Networking by : Kalachand Sain

Download or read book Meta-attributes and Artificial Networking written by Kalachand Sain and published by John Wiley & Sons. This book was released on 2022-06-24 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying machine learning to the interpretation of seismic data Seismic data gathered on the surface can be used to generate numerous seismic attributes that enable better understanding of subsurface geological structures and stratigraphic features. With an ever-increasing volume of seismic data available, machine learning augments faster data processing and interpretation of complex subsurface geology. Meta-Attributes and Artificial Networking: A New Tool for Seismic Interpretation explores how artificial neural networks can be used for the automatic interpretation of 2D and 3D seismic data. Volume highlights include: Historic evolution of seismic attributes Overview of meta-attributes and how to design them Workflows for the computation of meta-attributes from seismic data Case studies demonstrating the application of meta-attributes Sets of exercises with solutions provided Sample data sets available for hands-on exercises The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

Meta-attributes and Artificial Networking

Author: Kalachand Sain

Publisher: John Wiley & Sons

Published: 2022-08-16

Total Pages: 292

ISBN-13: 1119482003

DOWNLOAD EBOOK

Book Synopsis Meta-attributes and Artificial Networking by : Kalachand Sain

Download or read book Meta-attributes and Artificial Networking written by Kalachand Sain and published by John Wiley & Sons. This book was released on 2022-08-16 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying machine learning to the interpretation of seismic data Seismic data gathered on the surface can be used to generate numerous seismic attributes that enable better understanding of subsurface geological structures and stratigraphic features. With an ever-increasing volume of seismic data available, machine learning augments faster data processing and interpretation of complex subsurface geology. Meta-Attributes and Artificial Networking: A New Tool for Seismic Interpretation explores how artificial neural networks can be used for the automatic interpretation of 2D and 3D seismic data. Volume highlights include: Historic evolution of seismic attributes Overview of meta-attributes and how to design them Workflows for the computation of meta-attributes from seismic data Case studies demonstrating the application of meta-attributes Sets of exercises with solutions provided Sample data sets available for hands-on exercises The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition

Author: Mohammadali Ahmadi

Publisher: Elsevier

Published: 2024-08-01

Total Pages: 517

ISBN-13: 0443240116

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Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples presents a package for academic researchers and industries working on water resources and carbon capture and storage. This book contains fundamental knowledge on artificial intelligence related to oil and gas sustainability and the industry’s pivot to support the energy transition and provides practical applications through case studies and coding flowcharts, addressing gaps and questions raised by academic and industrial partners, including energy engineers, geologists, and environmental scientists. This timely publication provides fundamental and extensive information on advanced AI applications geared to support sustainability and the energy transition for the oil and gas industry. Reviews the use and applications of AI in energy transition of the oil and gas sectors Provides fundamental knowledge and academic background of artificial intelligence, including practical applications with real-world examples and coding flowcharts Showcases the successful implementation of AI in the industry (including geothermal energy)

Book Synopsis Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition by : Mohammadali Ahmadi

Download or read book Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition written by Mohammadali Ahmadi and published by Elsevier. This book was released on 2024-08-01 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples presents a package for academic researchers and industries working on water resources and carbon capture and storage. This book contains fundamental knowledge on artificial intelligence related to oil and gas sustainability and the industry’s pivot to support the energy transition and provides practical applications through case studies and coding flowcharts, addressing gaps and questions raised by academic and industrial partners, including energy engineers, geologists, and environmental scientists. This timely publication provides fundamental and extensive information on advanced AI applications geared to support sustainability and the energy transition for the oil and gas industry. Reviews the use and applications of AI in energy transition of the oil and gas sectors Provides fundamental knowledge and academic background of artificial intelligence, including practical applications with real-world examples and coding flowcharts Showcases the successful implementation of AI in the industry (including geothermal energy)

Proceedings of the 10th Asian Mining Congress 2023

Author: Amalendu Sinha

Publisher: Springer Nature

Published: 2023-11-08

Total Pages: 492

ISBN-13: 3031469666

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Rising concern about climate change and strong societal expectations with increasing complexities of mineral deposits being mined, call for more innovative exploration and exploitation technologies with higher productivity and recovery including eco-friendly strategies and policies in place for long term sustainability of the mineral Industry. It is now ardently necessary to identify and define the best mining practices addressing societal needs. In view of these, The Mining, Geological and Metallurgical Institute of India (MGMI), established way back on 16th January 1906, and one of the oldest institutions of this kind in the world, is organizing the 10th Asian Mining Congress (AMC) during November 06-09, 2023 in Kolkata, India with the Theme, “Roadmap for Best Mining Practices vis-à-vis Global Transformation”. The AMC and International Mining Exhibition (IME), held concurrently, are flagship international events organized by MGMI biennially since its centenary year. This series have provided ample opportunities to all stakeholders including practicing engineers, machinery manufacturers, planners, regulators, academicians, scientists and policy makers, for sharing their knowledge, experience and expertise and exhibit their products that can benefit the mining and mineral industries not only in the Asian region but also globally. This proceeding of 10th AMC contains the articles written by eminent persons and stalwarts in their respective domains. It is a collection of contemporary articles narrating recent advancements in mining sector.

Book Synopsis Proceedings of the 10th Asian Mining Congress 2023 by : Amalendu Sinha

Download or read book Proceedings of the 10th Asian Mining Congress 2023 written by Amalendu Sinha and published by Springer Nature. This book was released on 2023-11-08 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rising concern about climate change and strong societal expectations with increasing complexities of mineral deposits being mined, call for more innovative exploration and exploitation technologies with higher productivity and recovery including eco-friendly strategies and policies in place for long term sustainability of the mineral Industry. It is now ardently necessary to identify and define the best mining practices addressing societal needs. In view of these, The Mining, Geological and Metallurgical Institute of India (MGMI), established way back on 16th January 1906, and one of the oldest institutions of this kind in the world, is organizing the 10th Asian Mining Congress (AMC) during November 06-09, 2023 in Kolkata, India with the Theme, “Roadmap for Best Mining Practices vis-à-vis Global Transformation”. The AMC and International Mining Exhibition (IME), held concurrently, are flagship international events organized by MGMI biennially since its centenary year. This series have provided ample opportunities to all stakeholders including practicing engineers, machinery manufacturers, planners, regulators, academicians, scientists and policy makers, for sharing their knowledge, experience and expertise and exhibit their products that can benefit the mining and mineral industries not only in the Asian region but also globally. This proceeding of 10th AMC contains the articles written by eminent persons and stalwarts in their respective domains. It is a collection of contemporary articles narrating recent advancements in mining sector.

Artificial Neural Networks – ICANN 2009

Author: Cesare Alippi

Publisher: Springer

Published: 2009-09-16

Total Pages: 1062

ISBN-13: 3642042740

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This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14–17, 2009. The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intel- gence Society. This series of conferences has been held annually since 1991 in various European countries and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing structure inspired by biological nervous systems. They consist of a large number of highly interconnected processing elements, with the capability of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from diverse fields, such as engineering, computer science, mathematics, artificial intelligence, system theory, biology, operations research, and neuroscience. Artificial neural networks have been widely applied for pattern recognition, control, optimization, image processing, classification, signal processing, etc.

Book Synopsis Artificial Neural Networks – ICANN 2009 by : Cesare Alippi

Download or read book Artificial Neural Networks – ICANN 2009 written by Cesare Alippi and published by Springer. This book was released on 2009-09-16 with total page 1062 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14–17, 2009. The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intel- gence Society. This series of conferences has been held annually since 1991 in various European countries and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing structure inspired by biological nervous systems. They consist of a large number of highly interconnected processing elements, with the capability of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from diverse fields, such as engineering, computer science, mathematics, artificial intelligence, system theory, biology, operations research, and neuroscience. Artificial neural networks have been widely applied for pattern recognition, control, optimization, image processing, classification, signal processing, etc.

Artificial Neural Networks and Machine Learning - ICANN 2011

Author: Timo Honkela

Publisher: Springer

Published: 2011-06-13

Total Pages: 474

ISBN-13: 3642217389

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This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.

Book Synopsis Artificial Neural Networks and Machine Learning - ICANN 2011 by : Timo Honkela

Download or read book Artificial Neural Networks and Machine Learning - ICANN 2011 written by Timo Honkela and published by Springer. This book was released on 2011-06-13 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.

Metalearning

Author: Pavel Brazdil

Publisher: Springer Science & Business Media

Published: 2008-11-26

Total Pages: 182

ISBN-13: 3540732624

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Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.

Book Synopsis Metalearning by : Pavel Brazdil

Download or read book Metalearning written by Pavel Brazdil and published by Springer Science & Business Media. This book was released on 2008-11-26 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.

The Leading Edge

Author:

Publisher:

Published: 2003-07

Total Pages: 708

ISBN-13:

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Book Synopsis The Leading Edge by :

Download or read book The Leading Edge written by and published by . This book was released on 2003-07 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Expanded Abstracts with Biographies

Author:

Publisher:

Published: 2003

Total Pages: 1308

ISBN-13:

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Book Synopsis Expanded Abstracts with Biographies by :

Download or read book Expanded Abstracts with Biographies written by and published by . This book was released on 2003 with total page 1308 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Transactions

Author: Gulf Coast Association of Geological Societies

Publisher:

Published: 1953

Total Pages: 1026

ISBN-13:

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Book Synopsis Transactions by : Gulf Coast Association of Geological Societies

Download or read book Transactions written by Gulf Coast Association of Geological Societies and published by . This book was released on 1953 with total page 1026 pages. Available in PDF, EPUB and Kindle. Book excerpt: