Self-Potential Method: Theoretical Modeling and Applications in Geosciences, Biswas Arkoprovo
Автор: Fletcher, Steven J. Название: Data assimilation for the geosciences ISBN: 0323917208 ISBN-13(EAN): 9780323917209 Издательство: Elsevier Science Рейтинг: Цена: 142610.00 T Наличие на складе: Нет в наличии. Описание: Data Assimilation for the Geosciences: From Theory to Application, Second Edition brings together all of the mathematical and statistical background knowledge needed to formulate data assimilation systems into one place. It includes practical exercises enabling readers to apply theory in both a theoretical formulation as well as teach them how to code the theory with toy problems to verify their understanding. It also demonstrates how data assimilation systems are implemented in larger scale fluid dynamical problems related to land surface, the atmosphere, ocean and other geophysical situations.
The second edition of Data Assimilation for the Geosciences has been revised with up to date research that is going on in data assimilation, as well as how to apply the techniques. The new edition features an introduction of how machine learning and artificial intelligence are interfacing and aiding data assimilation. In addition to appealing to students and researchers across the geosciences, this now also appeals to new students and scientists in the field of data assimilation as it will now have even more information on the techniques, research, and applications, consolidated into one source.
Автор: Crockett, Robin (university Of Northampton) Название: A Primer on Fourier Analysis for the Geosciences ISBN: 1316600246 ISBN-13(EAN): 9781316600245 Издательство: Cambridge Academ Рейтинг: Цена: 40130.00 T Наличие на складе: Нет в наличии. Описание: An intuitive introduction to basic Fourier theory, with an emphasis on geoscience applications. Numerous worked examples from R are used to illustrate the theory, making this an ideal practical guide for graduate students and researchers who are using time-series analysis to quantify periodic features in geoscience data.
Автор: Arkoprovo Biswas Название: Self-Potential Method: Theoretical Modeling and Applications in Geosciences ISBN: 3030793354 ISBN-13(EAN): 9783030793357 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book deals primarily with the aspects of advances in Self-Potential geophysical data modeling, different interpretation techniques, new ideas and an integrated study to delineate the subsurface structures associated with exploration, contamination, buried paleochannels, archaeological investigations, glaciology, geomorphology, subsurface mapping and also in hydrocarbon exploration.The book is specifically aimed with the state-of-art information regarding research advances and new development in these areas of study, coupled to extensive modelling and field investigations obtained from around the world. It is extremely enlightening for the students, research workers, scientists, faculty members in Applied Geophysics, Near Surface Geophysics, Potential field, Electrical and Electromagnetic methods, Mathematical Modeling Techniques in Earth Sciences, as well as Environmental and other practical problems associated with Earth Sciences.
Автор: Di Pietro Daniele Antonio, Formaggia Luca, Masson Название: Polyhedral Methods in Geosciences ISBN: 3030693627 ISBN-13(EAN): 9783030693626 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The last few years have witnessed a surge in the development and usage of discretization methods supporting general meshes in geoscience applications.
Автор: Rothery, David A. (professor Of Planetary Geosciences, The Open University) Название: Planets: a very short introduction ISBN: 0199573506 ISBN-13(EAN): 9780199573509 Издательство: Oxford Academ Рейтинг: Цена: 8350.00 T Наличие на складе: Есть Описание: This Very Short Introduction discusses the nature of planets and gas giants, and their rings and moons. It also looks beyond Pluto, in the Kuiper Belt, at the knowledge we have about planets around other stars. With many striking photos to illustrate the details, it demonstrates the unique world of every planet.
Автор: Yogendra Narayan Pandey et al Название: Machine learning in the oil and gas industry ISBN: 1484260937 ISBN-13(EAN): 9781484260937 Издательство: Springer Рейтинг: Цена: 41920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches.
The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and production engineering.
Throughout the book, the emphasis is on providing a practical approach with step-by-step explanations and code examples for implementing machine and deep learning algorithms for solving real-life problems in the oil and gas industry. What You Will LearnUnderstanding the end-to-end industry life cycle and flow of data in the industrial operations of the oil and gas industryGet the basic concepts of computer programming and machine and deep learning required for implementing the algorithms usedStudy interesting industry problems that are good candidates for being solved by machine and deep learningDiscover the practical considerations and challenges for executing machine and deep learning projects in the oil and gas industry Who This Book Is For Professionals in the oil and gas industry who can benefit from a practical understanding of the machine and deep learning approach to solving real-life problems.
Автор: Naderpour, Novid Kordmahleh, F.h. Название: Petroleum geosciences ISBN: 8189741659 ISBN-13(EAN): 9788189741655 Издательство: Amazon Internet Рейтинг: Цена: 60560.00 T Наличие на складе: Невозможна поставка. Описание: Petroleum Geology is principally concerned with the evaluation of seven key elements in sedimentary basins namely, Source, Reservoir, Seal, Trap, Timing, Maturation and Migration. This book studies geology and geophysics in determining the origin, distribution and properties of petroleum and petroleum bearing rocks.
Автор: Panfilov Название: Physicochemical Fluid Dynamics in Porous Media ISBN: 3527342354 ISBN-13(EAN): 9783527342358 Издательство: Wiley Рейтинг: Цена: 139340.00 T Наличие на складе: Невозможна поставка. Описание: A unique and timely book on understanding and tailoring the flow of fluids in porous materials Porous media play a key role in chemical processes, gas and water purification, gas storage and the development of new multifunctional materials. Understanding hydrodynamics in porous media is decisive for enabling a wide range of applications in materials science and chemical engineering. This all-encompassing book offers a timely overview of all flow and transport processes in which chemical or physicochemical phenomena such as dissolution, phase transition, reactions, adsorption, diffusion, capillarity, and surface phenomena are essential. It brings together both theoretical and experimental results and includes important industrial applications. Physicochemical Fluid Dynamics in Porous Media: Applications in Geoscience and Petroleum Engineering explains the thermodynamics of phase equilibria for multicomponent fluids, physicochemical models of single-phase and immiscible two-phase flow, based on the macroscopic theory of oil displacement by water. It also covers the theory of two-phase flow with partial miscibility and describes partially miscible flows with phase transitions by means of the negative saturation approach. The final chapters are devoted to flow with chemical reactions, based on the example of in-situ leaching of uranium, and flow with bio-chemical reactions in terms of the underground storage of hydrogen. -Brings together the theoretical and experimental results necessary for the understanding of hydrodynamics in porous media -Covers important industrial applications such as underground leaching of uranium and underground storage of hydrogen -Presents a state-of-the-art overview and summarizes the research results usually found only scattered in the literature Physicochemical Fluid Dynamics in Porous Media: Applications in Geoscience and Petroleum Engineering will appeal to chemical engineers, materials scientists, applied physicists, and mechanical engineers.
Автор: Revil, Andre (colorado School Of Mines) Jardani, Abderrahim (universite De Rouen) Название: Self-potential method ISBN: 1108445780 ISBN-13(EAN): 9781108445788 Издательство: Cambridge Academ Рейтинг: Цена: 57030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Providing the first full overview of the fundamental concepts of the self-potential method and its applications, this book is a key reference for researchers and professionals in geophysics, environmental science, hydrology and geotechnical engineering. Chapter exercises, online datasets and analytical software also make it valuable reading for related graduate courses.
Автор: Moseley, Benjamin Название: Machine Learning And Artificial Intelligence In Geosciences,61 ISBN: 0128216697 ISBN-13(EAN): 9780128216699 Издательство: Elsevier Science Рейтинг: Цена: 185270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including Marchenko imaging, Machine learning and inversion, A review of reduced-order modelling approaches based on machine-learning and graphs for simulation of flow and transport through fractured media, and more.
Автор: Chowdhury Khalil R., Hossain MD Sakawat, Khan MD Sharif Hossain Название: Bangladesh Geosciences and Resources Potential ISBN: 0367531801 ISBN-13(EAN): 9780367531805 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book comprehensively describes the depositional environments, current status and future prospect of the potential natural resources of Bangladesh. Individual chapters outline potential resources, including metallic minerals, coal, limestone, hydrocarbon, peat, placer deposits, surface and groundwater, and provide relevant references.
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