Data Mining And Knowledge Discovery For Geoscientists

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Data Mining and Knowledge Discovery for Geoscientists

Author : Guangren Shi
Publisher : Elsevier
ISBN 13 : 0124104754
Total Pages : 377 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Data Mining and Knowledge Discovery for Geoscientists by : Guangren Shi

Download or read book Data Mining and Knowledge Discovery for Geoscientists written by Guangren Shi and published by Elsevier. This book was released on 2013-10-09 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Currently there are major challenges in data mining applications in the geosciences. This is due primarily to the fact that there is a wealth of available mining data amid an absence of the knowledge and expertise necessary to analyze and accurately interpret the same data. Most geoscientists have no practical knowledge or experience using data mining techniques. For the few that do, they typically lack expertise in using data mining software and in selecting the most appropriate algorithms for a given application. This leads to a paradoxical scenario of "rich data but poor knowledge". The true solution is to apply data mining techniques in geosciences databases and to modify these techniques for practical applications. Authored by a global thought leader in data mining, Data Mining and Knowledge Discovery for Geoscientists addresses these challenges by summarizing the latest developments in geosciences data mining and arming scientists with the ability to apply key concepts to effectively analyze and interpret vast amounts of critical information. - Focuses on 22 of data mining's most practical algorithms and popular application samples - Features 36 case studies and end-of-chapter exercises unique to the geosciences to underscore key data mining applications - Presents a practical and integrated system of data mining and knowledge discovery for geoscientists - Rigorous yet broadly accessible to geoscientists, engineers, researchers and programmers in data mining - Introduces widely used algorithms, their basic principles and conditions of applications, diverse case studies, and suggests algorithms that may be suitable for specific applications

Geoinformatics

Author : A. Krishna Sinha
Publisher : Geological Society of America
ISBN 13 : 0813723973
Total Pages : 292 pages
Book Rating : 4.8/5 (137 download)

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Book Synopsis Geoinformatics by : A. Krishna Sinha

Download or read book Geoinformatics written by A. Krishna Sinha and published by Geological Society of America. This book was released on 2006-01-01 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The science of informatics in the broadest sense has been several thousands of years in the making. With the recent emergence of large storage devices and high-speed processing of data, it has become possible to organize vast amounts of data as digital products with ontologic tags and concepts for smart queries. Coupling this computational capability with earth science data defines the emerging field of geoinformatics. Since the science of geology was established several centuries ago, observations led to conclusions that were integrative in concept and clearly had profound implications for the birth of geology. As disciplinary information about Earth becomes more voluminous, the use of geoinformatics will lead to integrative, science-based discoveries of new knowledge about planetary systems. Twenty one research papers, co-authored by 96 researchers from both earth and computer sciences, provide the first-ever organized presentation of the science of informatics as it relates to geology. Readers will readily recognize the vast intellectual content represented by these papers as they seek to address the core research goals of geoinformatics."--Publisher's website.

Recent Advancement in Geoinformatics and Data Science

Author : Xiaogang Ma
Publisher : Geological Society of America
ISBN 13 : 0813725585
Total Pages : 180 pages
Book Rating : 4.8/5 (137 download)

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Book Synopsis Recent Advancement in Geoinformatics and Data Science by : Xiaogang Ma

Download or read book Recent Advancement in Geoinformatics and Data Science written by Xiaogang Ma and published by Geological Society of America. This book was released on 2023-04-11 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Innovative Exploration Methods for Minerals, Oil, Gas, and Groundwater for Sustainable Development

Author : A. K. Moitra
Publisher : Elsevier
ISBN 13 : 0128239999
Total Pages : 544 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Innovative Exploration Methods for Minerals, Oil, Gas, and Groundwater for Sustainable Development by : A. K. Moitra

Download or read book Innovative Exploration Methods for Minerals, Oil, Gas, and Groundwater for Sustainable Development written by A. K. Moitra and published by Elsevier. This book was released on 2021-12-03 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovative Exploration Methods for Mineral, Oil, Gas, and Groundwater for Sustainable Development provides an integrated approach to exploration encompassing geology, geophysics, mining, and mineral processing. In addition, groundwater exploration is included, as it is central to the development of earth resources. As the demand for coal, minerals, oil and gas, and water continues to grow globally, researchers must prioritize sustainable exploration methods. Old technologies are being replaced speedily and exploration work has become fast, focused, meaningful, and readily reproducible keeping in pace with the changing global scenario. The themes of exploration of energy resources, exploration of minerals, groundwater exploration and processing and mineral engineering are separated out into sections and chapters included in these sections include case studies focusing on tools and techniques for exploration. Innovative Exploration Methods for Mineral, Oil, Gas, and Groundwater for Sustainable Development gives insight to modern concepts of exploration for those working in the various fields of energy, mineral, and groundwater exploration. - Presents innovative research that will both challenge and complement the traditional concepts of exploration - Covers a wide range of instruments and their applications, as well as the tools and processes that need to be followed for modern exploration work - Includes research on groundwater exploration with a focus on conservation and sustainable exploration and development

Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization

Author : Reza Yousefzadeh
Publisher : Springer Nature
ISBN 13 : 3031280792
Total Pages : 142 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization by : Reza Yousefzadeh

Download or read book Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization written by Reza Yousefzadeh and published by Springer Nature. This book was released on 2023-04-08 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores methods for managing uncertainty in reservoir characterization and optimization. It covers the fundamentals, challenges, and solutions to tackle the challenges made by geological uncertainty. The first chapter discusses types and sources of uncertainty and the challenges in different phases of reservoir management, along with general methods to manage it. The second chapter focuses on geological uncertainty, explaining its impact on field development and methods to handle it using prior information, seismic and petrophysical data, and geological parametrization. The third chapter deals with reducing geological uncertainty through history matching and the various methods used, including closed-loop management, ensemble assimilation, and stochastic optimization. The fourth chapter presents dimensionality reduction methods to tackle high-dimensional geological realizations. The fifth chapter covers field development optimization using robust optimization, including solutions for its challenges such as high computational cost and risk attitudes. The final chapter introduces different types of proxy models in history matching and robust optimization, discussing their pros and cons, and applications. The book will be of interest to researchers and professors, geologists and professionals in oil and gas production and exploration.

Engineering Optimization 2014

Author : Hélder Rodrigues
Publisher : CRC Press
ISBN 13 : 1315732106
Total Pages : 1076 pages
Book Rating : 4.3/5 (157 download)

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Book Synopsis Engineering Optimization 2014 by : Hélder Rodrigues

Download or read book Engineering Optimization 2014 written by Hélder Rodrigues and published by CRC Press. This book was released on 2014-09-26 with total page 1076 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization methodologies are fundamental instruments to tackle the complexity of today's engineering processes. Engineering Optimization 2014 is dedicated to optimization methods in engineering, and contains the papers presented at the 4th International Conference on Engineering Optimization (ENGOPT2014, Lisbon, Portugal, 8-11 September 2014). The book will be of interest to engineers, applied mathematicians, and computer scientists working on research, development and practical applications of optimization methods in engineering.

Feature Selection for Knowledge Discovery and Data Mining

Author : Huan Liu
Publisher : Springer Science & Business Media
ISBN 13 : 1461556899
Total Pages : 225 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Feature Selection for Knowledge Discovery and Data Mining by : Huan Liu

Download or read book Feature Selection for Knowledge Discovery and Data Mining written by Huan Liu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: As computer power grows and data collection technologies advance, a plethora of data is generated in almost every field where computers are used. The com puter generated data should be analyzed by computers; without the aid of computing technologies, it is certain that huge amounts of data collected will not ever be examined, let alone be used to our advantages. Even with today's advanced computer technologies (e. g. , machine learning and data mining sys tems), discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Taking its simplest form, raw data are represented in feature-values. The size of a dataset can be measUJ·ed in two dimensions, number of features (N) and number of instances (P). Both Nand P can be enormously large. This enormity may cause serious problems to many data mining systems. Feature selection is one of the long existing methods that deal with these problems. Its objective is to select a minimal subset of features according to some reasonable criteria so that the original task can be achieved equally well, if not better. By choosing a minimal subset offeatures, irrelevant and redundant features are removed according to the criterion. When N is reduced, the data space shrinks and in a sense, the data set is now a better representative of the whole data population. If necessary, the reduction of N can also give rise to the reduction of P by eliminating duplicates.

Handbook of HydroInformatics

Author : Saeid Eslamian
Publisher : Elsevier
ISBN 13 : 0128219505
Total Pages : 420 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Handbook of HydroInformatics by : Saeid Eslamian

Download or read book Handbook of HydroInformatics written by Saeid Eslamian and published by Elsevier. This book was released on 2022-12-06 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced machine learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode. This is an interdisciplinary book, and the audience includes postgraduates and early-career researchers interested in: Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, Chemical Engineering. - Key insights from 24 contributors in the fields of data management research, climate change and resilience, insufficient data problem, etc. - Offers applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison. - Defines both the designing of good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees.

Kaedah Penilaian Kesesuaian Tanah Untuk Petempatan Pascabencana

Author : Muhammad Rusdi , Ruhizal Roosli , Mohd Sanusi S. Ahamad
Publisher : Penerbit USM
ISBN 13 : 9674616675
Total Pages : 277 pages
Book Rating : 4.6/5 (746 download)

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Book Synopsis Kaedah Penilaian Kesesuaian Tanah Untuk Petempatan Pascabencana by : Muhammad Rusdi , Ruhizal Roosli , Mohd Sanusi S. Ahamad

Download or read book Kaedah Penilaian Kesesuaian Tanah Untuk Petempatan Pascabencana written by Muhammad Rusdi , Ruhizal Roosli , Mohd Sanusi S. Ahamad and published by Penerbit USM. This book was released on 2022-11-03 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Penggabungan dan pengasingan kaedah kuantitatif dan kualitatif secara teknik 'penyegitigaan' dalam sesuatu kajian diterjemahkan ke dalam buku ini melalui pembentangan projek kajian sebenar. Penyegitigaan ialah strategi, pelan dan struktur yang digunakan untuk mendapatkan jawapan kepada permasalahan yang dikenal pasti pada peringkat awal kajian. Bencana tsunami yang melanda Aceh, Indonesia pada tahun 2004 telah menarik minat penulis untuk menjalankan kajian penilaian kesesuaian tanah untuk petempatan pascabencana dengan menggunakan teknik penyegitigaan ini. Kajian ini dijalankan secara komprehensif berdasarkan persekitaran fizikal dengan mengambil kira risiko bencana dan implikasi sosial. Buku ini diadaptasi daripada tesis doktor falsafah Muhammad Rusdi yang diselia oleh Ruhizal Roosli dan Mohd Sanusi S. Ahamad. Tesis ini telah dinobatkan oleh Universiti Sains Malaysia (USM) sebagai Tesis Terbaik dalam Majlis Persada Kencana pada tahun 2017. Walaupun terdapat sejumlah buku di pasaran yang membahaskan garis panduan pembangunan dan teknik penelitian umum penyegitigaan, namun buku-buku tersebut hanya memberikan contoh penggabungan kaedah kuantitatif dan kualitatif tanpa cadangan penyelesaian serta implikasi terhadap polisi pentadbiran dan persekitaran seperti yang dibincangkan dalam buku ini. Malah, buku ini turut memaparkan langkah demi langkah teknik penyegitigaan berdasarkan kajian kes berserta rajah dan penerangan lengkap. Buku ini sesuai dijadikan bahan rujukan bagi pengamal industri, pelajar, ahli akademik dan penyelidik.

Computer Processing of Remotely-Sensed Images

Author : Paul M. Mather
Publisher : John Wiley & Sons
ISBN 13 : 1119502829
Total Pages : 388 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Computer Processing of Remotely-Sensed Images by : Paul M. Mather

Download or read book Computer Processing of Remotely-Sensed Images written by Paul M. Mather and published by John Wiley & Sons. This book was released on 2022-04-11 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Processing of Remotely-Sensed Images A thorough introduction to computer processing of remotely-sensed images, processing methods, and applications Remote sensing is a crucial form of measurement that allows for the gauging of an object or space without direct physical contact, allowing for the assessment and recording of a target under conditions which would normally render access difficult or impossible. This is done through the analysis and interpretation of electromagnetic radiation (EMR) that is reflected or emitted by an object, surveyed and recorded by an observer or instrument that is not in contact with the target. This methodology is particularly of importance in Earth observation by remote sensing, wherein airborne or satellite-borne instruments of EMR provide data on the planet’s land, seas, ice, and atmosphere. This permits scientists to establish relationships between the measurements and the nature and distribution of phenomena on the Earth’s surface or within the atmosphere. Still relying on a visual and conceptual approach to the material, the fifth edition of this successful textbook provides students with methods of computer processing of remotely sensed data and introduces them to environmental applications which make use of remotely-sensed images. The new edition’s content has been rearranged to be more clearly focused on image processing methods and applications in remote sensing with new examples, including material on the Copernicus missions, microsatellites and recently launched SAR satellites, as well as time series analysis methods. The fifth edition of Computer Processing of Remotely-Sensed Images also contains: A cohesive presentation of the fundamental components of Earth observation remote sensing that is easy to understand and highly digestible Largely non-technical language providing insights into more advanced topics that may be too difficult for a non-mathematician to understand Illustrations and example boxes throughout the book to illustrate concepts, as well as revised examples that reflect the latest information References and links to the most up-to-date online and open access sources used by students Computer Processing of Remotely-Sensed Images is a highly insightful textbook for advanced undergraduates and postgraduate students taking courses in remote sensing and GIS in Geography, Geology, and Earth & Environmental Science departments.

Knowledge Graphs and Big Data Processing

Author : Valentina Janev
Publisher : Springer Nature
ISBN 13 : 3030531996
Total Pages : 212 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Knowledge Graphs and Big Data Processing by : Valentina Janev

Download or read book Knowledge Graphs and Big Data Processing written by Valentina Janev and published by Springer Nature. This book was released on 2020-07-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

Geophysics for the Mineral Exploration Geoscientist

Author : Michael Dentith
Publisher : Cambridge University Press
ISBN 13 : 1139915622
Total Pages : 1083 pages
Book Rating : 4.1/5 (399 download)

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Book Synopsis Geophysics for the Mineral Exploration Geoscientist by : Michael Dentith

Download or read book Geophysics for the Mineral Exploration Geoscientist written by Michael Dentith and published by Cambridge University Press. This book was released on 2014-04-24 with total page 1083 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a balance between principles and practice, this state-of-the-art overview of geophysical methods takes readers from the basic physical phenomena, through the acquisition and processing of data, to the creation of geological models of the subsurface and data interpretation to find hidden mineral deposits. Detailed descriptions of all the commonly used geophysical methods are given, including gravity, magnetic, radiometric, electrical, electromagnetic and seismic methods. Each technique is described in a consistent way and without complex mathematics. Emphasising extraction of maximum geological information from geophysical data, the book also explains petrophysics, data modelling and common interpretation pitfalls. Packed with full-colour figures, also available online, the text is supported by selected examples from around the world, including all the major deposit types. Designed for advanced undergraduate and graduate courses in minerals geoscience, this is also a valuable reference for professionals in the mining industry wishing to make greater use of geophysical methods. In 2015, Dentith and Mudge won the ASEG Lindsay Ingall Memorial Award for their combined effort in promoting geophysics to the wider community with the publication of this title.

Machine Learning and Artificial Intelligence in Geosciences

Author :
Publisher : Academic Press
ISBN 13 : 0128216840
Total Pages : 318 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Machine Learning and Artificial Intelligence in Geosciences by :

Download or read book Machine Learning and Artificial Intelligence in Geosciences written by and published by Academic Press. This book was released on 2020-09-22 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more. - Provides high-level reviews of the latest innovations in geophysics - Written by recognized experts in the field - Presents an essential publication for researchers in all fields of geophysics

Handbook of Mathematical Geosciences

Author : B.S. Daya Sagar
Publisher : Springer
ISBN 13 : 3319789996
Total Pages : 911 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Handbook of Mathematical Geosciences by : B.S. Daya Sagar

Download or read book Handbook of Mathematical Geosciences written by B.S. Daya Sagar and published by Springer. This book was released on 2018-06-25 with total page 911 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Open Access handbook published at the IAMG's 50th anniversary, presents a compilation of invited path-breaking research contributions by award-winning geoscientists who have been instrumental in shaping the IAMG. It contains 45 chapters that are categorized broadly into five parts (i) theory, (ii) general applications, (iii) exploration and resource estimation, (iv) reviews, and (v) reminiscences covering related topics like mathematical geosciences, mathematical morphology, geostatistics, fractals and multifractals, spatial statistics, multipoint geostatistics, compositional data analysis, informatics, geocomputation, numerical methods, and chaos theory in the geosciences.

The Changing Role of Geological Surveys

Author : P.R. Hill
Publisher : Geological Society of London
ISBN 13 : 1786204762
Total Pages : 300 pages
Book Rating : 4.7/5 (862 download)

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Book Synopsis The Changing Role of Geological Surveys by : P.R. Hill

Download or read book The Changing Role of Geological Surveys written by P.R. Hill and published by Geological Society of London. This book was released on 2020-12-07 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Senior managers and Heads of Geological Survey Organizations (GSOs) from around the world have contributed a collection of papers to provide a benchmark on how GSOs are responding to national and international needs in a rapidly changing world. GSOs continue to provide key scientific information about Earth systems, natural hazards and climate change. As countries adopt sustainable development principles and the public increasingly turns to social media to find information about resource and environmental issues, the generation and communication of Earth science knowledge become increasingly important. This volume provides a snapshot of how GSOs are adapting their activities to this changing world. The different national perspectives presented converge around several common themes related to resources, environment and big data. Climate change and the UN’s Sustainable Development Goals provide an increased incentive for GSOs of the world to work in harmony, to generate knowledge of Earth systems and to provide solutions for sustainable management of the planet.

Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling

Author : Y. Z. Ma
Publisher : Springer
ISBN 13 : 3030178609
Total Pages : 646 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling by : Y. Z. Ma

Download or read book Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling written by Y. Z. Ma and published by Springer. This book was released on 2019-07-15 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications of big data and artificial intelligence. This book presents quantitative geosciences in three parts. Part 1 presents data analytics using probability, statistical and machine-learning methods. Part 2 covers reservoir characterization using several geoscience disciplines: including geology, geophysics, petrophysics and geostatistics. Part 3 treats reservoir modeling, resource evaluation and uncertainty analysis using integrated geoscience, engineering and geostatistical methods. As the petroleum industry is heading towards operating oil fields digitally, a multidisciplinary skillset is a must for geoscientists who need to use data analytics to resolve inconsistencies in various sources of data, model reservoir properties, evaluate uncertainties, and quantify risk for decision making. This book intends to serve as a bridge for advancing the multidisciplinary integration for digital fields. The goal is to move beyond using quantitative methods individually to an integrated descriptive-quantitative analysis. In big data, everything tells us something, but nothing tells us everything. This book emphasizes the integrated, multidisciplinary solutions for practical problems in resource evaluation and field development.

Encyclopedia of Mathematical Geosciences

Author : B. S. Daya Sagar
Publisher : Springer Nature
ISBN 13 : 3030850404
Total Pages : 1744 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Encyclopedia of Mathematical Geosciences by : B. S. Daya Sagar

Download or read book Encyclopedia of Mathematical Geosciences written by B. S. Daya Sagar and published by Springer Nature. This book was released on 2023-07-13 with total page 1744 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Encyclopedia of Mathematical Geosciences is a complete and authoritative reference work. It provides concise explanation on each term that is related to Mathematical Geosciences. Over 300 international scientists, each expert in their specialties, have written around 350 separate articles on different topics of mathematical geosciences including contributions on Artificial Intelligence, Big Data, Compositional Data Analysis, Geomathematics, Geostatistics, Geographical Information Science, Mathematical Morphology, Mathematical Petrology, Multifractals, Multiple Point Statistics, Spatial Data Science, Spatial Statistics, and Stochastic Process Modeling. Each topic incorporates cross-referencing to related articles, and also has its own reference list to lead the reader to essential articles within the published literature. The entries are arranged alphabetically, for easy access, and the subject and author indices are comprehensive and extensive.