Multifrequency Electromagnetic Data Interpretation For Subsurface Characterization
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Multifrequency Electromagnetic Data Interpretation For Subsurface Characterization
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Author : Siddharth Misra
language : en
Publisher: Elsevier
Release Date : 2021-07-13
Multifrequency Electromagnetic Data Interpretation For Subsurface Characterization written by Siddharth Misra and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-13 with Science categories.
Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization focuses on the development and application of electromagnetic measurement methodologies and their interpretation techniques for subsurface characterization. The book guides readers on how to characterize and understand materials using electromagnetic measurements, including dielectric permittivity, resistivity and conductivity measurements. This reference will be useful for subsurface engineers, petrophysicists, subsurface data analysts, geophysicists, hydrogeologists, and geoscientists who want to know how to develop tools and techniques of electromagnetic measurements and interpretation for subsurface characterization. - Includes case studies to add additional color to the presented content - Provides codes for the mechanistic modeling of multi-frequency conductivity and relative permittivity of porous geomaterials - Presents detailed descriptions of multifrequency electromagnetic data interpretation models and inversion algorithm
Machine Learning For Subsurface Characterization
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Author : Siddharth Misra
language : en
Publisher: Gulf Professional Publishing
Release Date : 2019-10-12
Machine Learning For Subsurface Characterization written by Siddharth Misra and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-12 with Technology & Engineering categories.
Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface. - Learn from 13 practical case studies using field, laboratory, and simulation data - Become knowledgeable with data science and analytics terminology relevant to subsurface characterization - Learn frameworks, concepts, and methods important for the engineer's and geoscientist's toolbox needed to support
Analysis Of Large Scale Non Coal Underground Mining Methods
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Author : Dravo Corporation
language : en
Publisher:
Release Date : 1974
Analysis Of Large Scale Non Coal Underground Mining Methods written by Dravo Corporation and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Mining engineering categories.
Scientific And Technical Aerospace Reports
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Author :
language : en
Publisher:
Release Date : 1995
Scientific And Technical Aerospace Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Aeronautics categories.
Encyclopedia Of Solid Earth Geophysics
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Author : Harsh Gupta
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-29
Encyclopedia Of Solid Earth Geophysics written by Harsh Gupta and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-29 with Science categories.
The past few decades have witnessed the growth of the Earth Sciences in the pursuit of knowledge and understanding of the planet that we live on. This development addresses the challenging endeavor to enrich human lives with the bounties of Nature as well as to preserve the planet for the generations to come. Solid Earth Geophysics aspires to define and quantify the internal structure and processes of the Earth in terms of the principles of physics and forms the intrinsic framework, which other allied disciplines utilize for more specific investigations. The first edition of the Encyclopedia of Solid Earth Geophysics was published in 1989 by Van Nostrand Reinhold publishing company. More than two decades later, this new volume, edited by Prof. Harsh K. Gupta, represents a thoroughly revised and expanded reference work. It brings together more than 200 articles covering established and new concepts of Geophysics across the various sub-disciplines such as Gravity, Geodesy, Geomagnetism, Seismology, Seismics, Deep Earth Processes, Plate Tectonics, Thermal Domains, Computational Methods, etc. in a systematic and consistent format and standard. It is an authoritative and current reference source with extraordinary width of scope. It draws its unique strength from the expert contributions of editors and authors across the globe. It is designed to serve as a valuable and cherished source of information for current and future generations of professionals.
Machine Learning For Subsurface Characterization
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Author : Siddharth Misra
language : en
Publisher: Gulf Professional Publishing
Release Date : 2020
Machine Learning For Subsurface Characterization written by Siddharth Misra and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Big data categories.
Petroleum Abstracts
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Author :
language : en
Publisher:
Release Date : 1998
Petroleum Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Petroleum categories.
Electromagnetic Nondestructive Evaluation Xi
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Author : Antonello Tamburrino
language : en
Publisher: IOS Press
Release Date : 2008
Electromagnetic Nondestructive Evaluation Xi written by Antonello Tamburrino and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Science categories.
The 12th International Workshop on Electromagnetic Nondestructive Evaluation (ENDE'07) was held from the 19th to the 21st of June 2007 at the Wolfson Centre for Magnetics at Cardiff University, Cardiff, United Kingdom. This publication contains the proceedings of the workshop.
Petroleum Abstracts Literature And Patents
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Author :
language : en
Publisher:
Release Date : 1990
Petroleum Abstracts Literature And Patents written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Petroleum categories.
Remote Sensing In Applied Geophysics
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Author : Chiara Colombero
language : en
Publisher: MDPI
Release Date : 2020-12-07
Remote Sensing In Applied Geophysics written by Chiara Colombero and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-07 with Science categories.
The Special Issue is focused on recent and upcoming advances in the combined application of remote sensing and applied geophysics. Applied geophysics analyzes the distribution of physical properties in the subsurface for a wide range of geological, engineering, and environmental applications at different scales. Seismic, electrical, magnetic, and electromagnetic methods are among the most applied and well-established geophysical techniques. These methods share the advantages of being non-invasive and exploring wide areas of investigation with respect to conventional methods (e.g., drilling). Geophysical surveys are usually carried out deploying or moving the appropriate instrumentation directly on the ground surface. However, recent technological advances have resulting in the development of innovative acquisition systems becoming more typical of the remote sensing community (e.g., airborne surveys). While applied geophysics mainly focuses on the subsurface, typical remote sensing techniques have the ability to accurately image the Earth’s surface with high-resolution investigations carried out by means of terrestrial, airborne, or satellite-based platforms. The integration of surface and subsurface information is often crucial for several purposes, including the processing of geophysical data, the characterization and time-lapse monitoring of surface and near-surface targets, and the reconstruction of highly detailed and comprehensive 3D models of the investigated areas. Recent contributions showing the added value of surface reconstruction and/or monitoring in the processing, interpretation, and cross-comparison of geophysical techniques for archaeological, environmental, and engineering studies are collected in this book. Pioneering geophysical acquisitions by means of innovative remote systems are also presented.