Self-Potential Method: Theoretical Modeling and Applications in Geosciences, Arkoprovo Biswas
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: 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: 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: Biswas Arkoprovo Название: Self-Potential Method: Theoretical Modeling and Applications in Geosciences ISBN: 303079332X ISBN-13(EAN): 9783030793326 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 1. Analytical methods in the interpretation of self-potential anomalies- a comprehensive review.- 2. Metaheuristics inversion of Self-Potential anomalies.- 3. Self-Potential inversion and uncertainty analysis via Particle Swarm Optimization.- 4. Interpretation of Self-Potential anomalies for investigating faults using the Levenberg-Marquardt and Particle Swarm Optimization methods: a study case in Зanakkale-Ayvacık, Turkey.- 5. Estimation of the buried model parameters from the self-potential data applying advanced approaches: A comparative study.- 6. Determining the structure factor and parameters of a buried polarized structure from Self potential anomaly data.- 7. Ensemble Kalman Inversion for Determining Model Parameter of Self-Potential Data in the Mineral Exploration.- 8. Advanced analysis of self-potential anomalies: Review of case studies from mining, archaeology and environment .- 9. Preferential groundwater flow pathways in sinkholes using self-potential (SP) method: A study case of Anina karstic region (Banat Mountains, Romania).- 10. Quantification of thickness for oil reservoir and determination of Rw for estimation of water saturation using SP log.- 11. High resolution electrical resistivity tomography and self-potential mapping for groundwater and mineral exploration in different geological settings of India.
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: 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.
Название: Mathematical and Numerical Modeling in Porous Media ISBN: 1138076392 ISBN-13(EAN): 9781138076396 Издательство: Taylor&Francis Рейтинг: Цена: 93910.00 T Наличие на складе: Невозможна поставка. Описание:
Porous media are broadly found in nature and their study is of high relevance in our present lives. In geosciences porous media research is fundamental in applications to aquifers, mineral mines, contaminant transport, soil remediation, waste storage, oil recovery and geothermal energy deposits. Despite their importance, there is as yet no complete understanding of the physical processes involved in fluid flow and transport. This fact can be attributed to the complexity of the phenomena which include multicomponent fluids, multiphasic flow and rock-fluid interactions. Since its formulation in 1856, Darcy's law has been generalized to describe multi-phase compressible fluid flow through anisotropic and heterogeneous porous and fractured rocks. Due to the scarcity of information, a high degree of uncertainty on the porous medium properties is commonly present. Contributions to the knowledge of modeling flow and transport, as well as to the characterization of porous media at field scale are of great relevance. This book addresses several of these issues, treated with a variety of methodologies grouped into four parts:
I Fundamental concepts II Flow and transport III Statistical and stochastic characterization IV Waves
The problems analyzed in this book cover diverse length scales that range from small rock samples to field-size porous formations. They belong to the most active areas of research in porous media with applications in geosciences developed by diverse authors.
This book was written for a broad audience with a prior and basic knowledge of porous media. The book is addressed to a wide readership, and it will be useful not only as an authoritative textbook for undergraduate and graduate students but also as a reference source for professionals including geoscientists, hydrogeologists, geophysicists, engineers, applied mathematicians and others working on porous media.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
