Machine Learning For Subsurface Characterization

If you want to download Machine Learning For Subsurface Characterization book in PDF, ePub and kindle or read online directly from your devices, click Download button to get Machine Learning For Subsurface Characterization book now. This site is like a library, Use search box in the widget to get ebook that you want.

• Author : Siddharth Misra,Hao Li,Jiabo He
• Publisher : Gulf Professional Publishing
• Release Date : 2019-10-12
• Total pages : 440
• ISBN : 9780128177372
• File Size : 34,8 Mb
• Total Download : 862
• DOWNLOAD BOOK

Download Machine Learning for Subsurface Characterization in PDF, Epub, and Kindle

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

• Author : Shuvajit Bhattacharya,Haibin Di
• Publisher : Elsevier
• Release Date : 2022-05-18
• Total pages : 378
• ISBN : 9780128223086
• File Size : 55,8 Mb
• Total Download : 951
• DOWNLOAD BOOK

Download Advances in Subsurface Data Analytics in PDF, Epub, and Kindle

Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches brings together the fundamentals of popular and emerging machine learning (ML) algorithms with their applications in subsurface analysis, including geology, geophysics, petrophysics, and reservoir engineering. The book is divided into four parts: traditional ML, deep learning, physics-based ML, and new directions, with an increasing level of diversity and complexity of topics. Each chapter focuses on one ML algorithm with a detailed workflow for a specific application in geosciences. Some chapters also compare the results from an algorithm with others to better equip the readers with different strategies to implement automated workflows for subsurface analysis. Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches will help researchers in academia and professional geoscientists working on the subsurface-related problems (oil and gas, geothermal, carbon sequestration, and seismology) at different scales to understand and appreciate current trends in ML approaches, their applications, advances and limitations, and future potential in geosciences by bringing together several contributions in a single volume. Covers fundamentals of simple machine learning and deep learning algorithms, and physics-based approaches written by practitioners in academia and industry Presents detailed case studies of individual machine learning algorithms and optimal strategies in subsurface characterization around the world Offers an analysis of future trends in machine learning in geosciences

• Author : Hao Li
• Publisher : Unknown
• Release Date : 2020
• Total pages : 228
• ISBN : OCLC:1152200629
• File Size : 10,8 Mb
• Total Download : 738
• DOWNLOAD BOOK

Download Machine Learning for the Subsurface Characterization at Core, Well, and Reservoir Scales in PDF, Epub, and Kindle

PDF book entitled Machine Learning for the Subsurface Characterization at Core, Well, and Reservoir Scales written by Hao Li and published by Unknown which was released on 2020 with total hardcover pages 228, the book become popular and critical acclaim.

• Author : Shuvajit Bhattacharya
• Publisher : Springer Nature
• Release Date : 2021-05-03
• Total pages : 172
• ISBN : 9783030717681
• File Size : 36,6 Mb
• Total Download : 958
• DOWNLOAD BOOK

Download A Primer on Machine Learning in Subsurface Geosciences in PDF, Epub, and Kindle

This book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences. It explores the fundamentals of data science and machine learning, and how their advances have disrupted the traditional workflows used in the industry and academia, including geology, geophysics, petrophysics, geomechanics, and geochemistry. It then presents the real-world applications and explains that, while this disruption has affected the top-level executives, geoscientists as well as field operators in the industry and academia, machine learning will ultimately benefit these users. The book is written by a practitioner of machine learning and statistics, keeping geoscientists in mind. It highlights the need to go beyond concepts covered in STAT 101 courses and embrace new computational tools to solve complex problems in geosciences. It also offers practitioners, researchers, and academics insights into how to identify, develop, deploy, and recommend fit-for-purpose machine learning models to solve real-world problems in subsurface geosciences.

• Author : Srikanta Mishra
• Publisher : CRC Press
• Release Date : 2022-12-27
• Total pages : 388
• ISBN : 9781000823899
• File Size : 9,8 Mb
• Total Download : 825
• DOWNLOAD BOOK

Download Machine Learning Applications in Subsurface Energy Resource Management in PDF, Epub, and Kindle

The utilization of machine learning (ML) techniques to understand hidden patterns and build data-driven predictive models from complex multivariate datasets is rapidly increasing in many applied science and engineering disciplines, including geo-energy. Motivated by these developments, Machine Learning Applications in Subsurface Energy Resource Management presents a current snapshot of the state of the art and future outlook for ML applications to manage subsurface energy resources (e.g., oil and gas, geologic carbon sequestration, and geothermal energy). Covers ML applications across multiple application domains (reservoir characterization, drilling, production, reservoir modeling, and predictive maintenance) Offers a variety of perspectives from authors representing operating companies, universities, and research organizations Provides an array of case studies illustrating the latest applications of several ML techniques Includes a literature review and future outlook for each application domain This book is targeted at practicing petroleum engineers or geoscientists interested in developing a broad understanding of ML applications across several subsurface domains. It is also aimed as a supplementary reading for graduate-level courses and will also appeal to professionals and researchers working with hydrogeology and nuclear waste disposal.

• Author : Koenraad F. Beckers
• Publisher : Unknown
• Release Date : 2021
• Total pages : 8
• ISBN : OCLC:1273558289
• File Size : 27,7 Mb
• Total Download : 888
• DOWNLOAD BOOK

Download Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs in PDF, Epub, and Kindle

PDF book entitled Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs written by Koenraad F. Beckers and published by Unknown which was released on 2021 with total hardcover pages 8, the book become popular and critical acclaim.

• Author : Siddharth Misra,Yifu Han,Yuteng Jin,Pratiksha Tathed
• Publisher : Elsevier
• Release Date : 2021-07-13
• Total pages : 382
• ISBN : 9780128214558
• File Size : 45,7 Mb
• Total Download : 391
• DOWNLOAD BOOK

Download Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization in PDF, Epub, and Kindle

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

• Author : Abidin Berk Caf
• Publisher : Unknown
• Release Date : 2022
• Total pages : 0
• ISBN : OCLC:1355509264
• File Size : 9,6 Mb
• Total Download : 901
• DOWNLOAD BOOK

Download Quantitative Seismic Interpretation and Machine Learning Applications for Subsurface Characterization and Modeling in PDF, Epub, and Kindle

PDF book entitled Quantitative Seismic Interpretation and Machine Learning Applications for Subsurface Characterization and Modeling written by Abidin Berk Caf and published by Unknown which was released on 2022 with total hardcover pages 0, the book become popular and critical acclaim.

• Author : Soumyajit Mukherjee,Swagato Dasgupta,Chandan Majumdar,Subhadip Mandal,Troyee Dasgupta
• Publisher : John Wiley & Sons
• Release Date : 2022-10-12
• Total pages : 469
• ISBN : 9781119680109
• File Size : 26,9 Mb
• Total Download : 776
• DOWNLOAD BOOK

Download Handbook of Petroleum Geoscience in PDF, Epub, and Kindle

HANDBOOK OF PETROLEUM GEOSCIENCE This reference brings together the latest industrial updates and research advances in regional tectonics and geomechanics. Each chapter is based upon an in-depth case study from a particular region, highlighting core concepts and themes as well as regional variations. Key topics discussed in the book are: Drilling solutions from the Kutch offshore basin Geophysical studies from a gas field in Bangladesh Exploring Himalayan terrain in India Tectonics and exploration of the Persian Gulf basin Unconventional gas reservoirs in the Bohemian Massif This book is an invaluable industry resource for professionals and academics working in and studying the fields of petroleum geoscience and tectonics.

• Author : Goncalo Marques,Joshua O. Ighalo
• Publisher : Academic Press
• Release Date : 2022-03-20
• Total pages : 474
• ISBN : 9780323855983
• File Size : 41,8 Mb
• Total Download : 254
• DOWNLOAD BOOK

Download Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering in PDF, Epub, and Kindle

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in actual environmental scenarios Offers a compilation of essential and critical reviews on the application of data science and artificial intelligence to the entire spectrum of environmental engineering

• Author : Mattia Bartoli,Mauro Giorcelli,Alberto Tagliaferro
• Publisher : BoD – Books on Demand
• Release Date : 2023-01-25
• Total pages : 394
• ISBN : 9781803562513
• File Size : 25,9 Mb
• Total Download : 586
• DOWNLOAD BOOK

Download Biochar in PDF, Epub, and Kindle

Biochar is the carbonaceous residue produced from the pyrolytic conversion of biomass. It is generally used for agricultural applications as a soil amendment but has far wider potential. This book presents the use of biochar as a platform for the development of new intriguing solutions in several cutting-edge fields. The book is a useful reference volume for any reader with a strong scientific and technological background, ranging from scientific advisors in private companies to academic researchers promoting the spread of knowledge about biochar to anyone not already working with it.

• Author : Jingzheng Ren,Weifeng Shen,Yi Man,Lichun DOng
• Publisher : Elsevier
• Release Date : 2021-06-05
• Total pages : 540
• ISBN : 9780128217436
• File Size : 28,7 Mb
• Total Download : 988
• DOWNLOAD BOOK

Download Applications of Artificial Intelligence in Process Systems Engineering in PDF, Epub, and Kindle

Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering

• Author : Camelia Delcea,Liviu-Adrian Cotfas
• Publisher : Springer Nature
• Release Date : 2023-03-02
• Total pages : 340
• ISBN : 9789811999321
• File Size : 55,9 Mb
• Total Download : 552
• DOWNLOAD BOOK

Download Advancements of Grey Systems Theory in Economics and Social Sciences in PDF, Epub, and Kindle

This book focuses on the main advancements made in the economics and social sciences field through the use of grey systems theory. As a result, it addresses both the state of the art and the applications of grey systems theory in economics and social sciences. The book is structured in eight main chapters, covering the following topics: the state of the art in the grey systems theory research in economics and social sciences, which includes a bibliometric analysis, a selection of the most well-cited papers in the field, and a selection of applications in which the grey systems theory is used in the areas of suppliers selection, risk assessment, public opinion assessment, linear programming, complex projects management, social media analysis, and natural language processing Each chapter gives an overview of a particular economic or social sciences topic, providing an explanation on the main terms and methods used for solving the problem, including the notations, terminology, and the needed steps to solve it. A practical application is presented in most of the chapters, while in the others, a series of case studies are presented from the literature and discussed in depth in terms of methods used and advantages brought by each of these methods. The last chapter discusses the hybridization cases in which the grey systems theory has been or can be successfully used along with other artificial intelligence methods and techniques for a more advanced analysis in the economics and social sciences field. The reasoning and the explanations used in the book are easy to understand for the interested persons who are not familiar to the field and want to learn more related on how the grey systems theory can be applied to economics and social sciences. As for the experts in this field, this book can be a good referral point for developing new areas of research by combining the advantages of the grey systems theory with other theories within the field.

• Author : John G Lyon,Lynn Lyon
• Publisher : CRC Press
• Release Date : 2022-12-21
• Total pages : 237
• ISBN : 9781000798913
• File Size : 54,5 Mb
• Total Download : 262
• DOWNLOAD BOOK

Download Geospatial Information Handbook for Water Resources and Watershed Management, Volume I in PDF, Epub, and Kindle

Volume I of Geospatial Information Handbook for Water Resources and Watershed Management discusses fundamental characteristics, measurements, and analyses of water features and watersheds including lakes and reservoirs, rivers and streams, and coasts and estuaries. It presents contemporary knowledge on Geospatial Technology (GT)–supported functional analyses of water runoff, storage and balance, flooding and floodplains, water quality, soils and moisture, climate vulnerabilities, and ecosystem services. Captures advanced Geospatial Technologies (GTs) addressing a wide range of water issues Provides real-world applications and case studies using advanced spectral and spatial sensors combined with geospatially facilitated water process models Details applications of ArcInfo/ArcGIS, Google Earth Engine, and other systems using advanced remote sensors, including hyperspectral ER2 AVIRIS, Sentinel-1 and -2, MODIS, Landsat 7 ETM+, Landsat 8 OLI and TIPS, SAR radar, and thermal imaging Global in coverage with applications contributed by more than 170 authors with lifelong expertise in water sciences and engineering This handbook is a wide-ranging and contemporary reference of advanced geospatial techniques used in numerous practical applications at the local and regional scales and is an in-depth resource for professionals and the water research community worldwide.

• Author : J. Carlos de Dios,Srikanta Mishra,Flavio Poletto,Alberto Ramos
• Publisher : Springer Nature
• Release Date : 2020-12-17
• Total pages : 243
• ISBN : 9783030629861
• File Size : 46,8 Mb
• Total Download : 699
• DOWNLOAD BOOK

Download CO2 Injection in the Network of Carbonate Fractures in PDF, Epub, and Kindle

This book presents guidelines for the design, operation and monitoring of CO2 injection in fractured carbonates, with low permeability in the rock matrix, for geological storage in permanent trapping. CO2 migration is dominated by fractures in formations where the hydrodynamic and geochemical effects induced by the injection play a key role influencing the reservoir behavior. CO2 injection in these rocks shows specific characteristics that are different to injection in porous media, as the results from several research studies worldwide reveal. All aspects of a project of this type are discussed in this text, from the drilling to the injection, as well as support works like well logging, laboratory and field tests, modeling, and risk assessment. Examples are provided, lesson learned is detailed, and conclusions are drawn. This work is derived from the experience of international research teams and particularly from that gained during the design, construction and operation of Hontomín Technology Development Plant. Hontomín research pilot is currently the only active onshore injection site in the European Union, operated by Fundación Ciudad de la Energía-CIUDEN F.S.P. and recognized by the European Parliament as a key test facility. The authors provide guidelines and tools to enable readers to find solutions to their problems. The book covers activities relevant to a wide range of practitioners involved in reservoir exploration, modeling, site operation and monitoring. Fluid injection in fractured media shows specific features that are different than injection in porous media, influencing the reservoir behavior and defining conditions for safe and efficient operation. Therefore, this book is also useful to professionals working on oil & gas, hydrogeology and geothermal projects, and in general for those whose work is related to activities using fluid injection in the ground.

• Author : Harish Sharma,Vivek Shrivastava,Kusum Kumari Bharti,Lipo Wang
• Publisher : Springer Nature
• Release Date : 2022-08-18
• Total pages : 1213
• ISBN : 9789811921308
• File Size : 34,8 Mb
• Total Download : 478
• DOWNLOAD BOOK

Download Communication and Intelligent Systems in PDF, Epub, and Kindle

This book gathers selected research papers presented at the Third International Conference on Communication and Intelligent Systems (ICCIS 2021), organized by National institute of Technology, Delhi, India, during December 18–19, 2021. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source.

• Author : Isaac Woungang,Sanjay Kumar Dhurandher,Kiran Kumar Pattanaik,Anshul Verma,Pradeepika Verma
• Publisher : Springer Nature
• Release Date : 2022-02-17
• Total pages : 852
• ISBN : 9783030960407
• File Size : 30,9 Mb
• Total Download : 812
• DOWNLOAD BOOK

Download Advanced Network Technologies and Intelligent Computing in PDF, Epub, and Kindle

This volume constitutes the selected papers presented at the First International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2021, hed in Varanasi, India, in December 2021. Due to the COVID-19 pandemic the conference was held online. The 61 papers presented were thoroughly reviewed and selected from 593 submissions. They are organized in topical sections on advanced network technologies and intelligent computing. ;

• Author : Honghao Gao,Xinheng Wang,Muddesar Iqbal,Yuyu Yin,Jianwei Yin,Ning Gu
• Publisher : Springer Nature
• Release Date : 2021-01-21
• Total pages : 578
• ISBN : 9783030675400
• File Size : 23,6 Mb
• Total Download : 632
• DOWNLOAD BOOK

Download Collaborative Computing: Networking, Applications and Worksharing in PDF, Epub, and Kindle

This two-volume set constitutes the refereed proceedings of the 16th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2020, held in Shanghai, China, in October 2020. The 61 full papers and 16 short papers presented were carefully reviewed and selected from 211 submissions. The papers reflect the conference sessions as follows: Collaborative Applications for Network and E-Commerce; Optimization for Collaborate System; Cloud and Edge Computing; Artificial Intelligence; AI Application and Optimization; Classification and Recommendation; Internet of Things; Collaborative Robotics and Autonomous Systems; Smart Transportation.

• Author : Mikhail Kanevski,Alexei Pozdnoukhov,Alexi Pozdnukhov,Vadim Timonin
• Publisher : EPFL Press
• Release Date : 2009-06-09
• Total pages : 444
• ISBN : 0849382378
• File Size : 23,6 Mb
• Total Download : 652
• DOWNLOAD BOOK

Download Machine Learning for Spatial Environmental Data in PDF, Epub, and Kindle

Accompanying CD-RM contains Machine learning office software, MLO guide (pdf) and examples of data.

• Author : Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada
• Publisher : Springer Nature
• Release Date : 2023-01-23
• Total pages : 449
• ISBN : 9783031234927
• File Size : 34,5 Mb
• Total Download : 333
• DOWNLOAD BOOK

Download Artificial Intelligence and Soft Computing in PDF, Epub, and Kindle

The two-volume set LNAI 13588 and 13589 constitutes the refereed post-conference proceedings of the 21st International Conference on Artificial Intelligence and Soft Computing, ICAISC 2022, held in Zakopane, Poland, during June 19–23, 2022. The 69 revised full papers presented in these proceedings were carefully reviewed and selected from 161 submissions. The papers are organized in the following topical sections: Volume I: Neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation. Volume II: Computer vision, image and speech analysis; data mining; various problems of artificial intelligence; bioinformatics, biometrics and medical applications.

• Author : Kriti Yadav,Anirbid Sircar,Apurwa Yadav
• Publisher : CRC Press
• Release Date : 2022-03-23
• Total pages : 174
• ISBN : 9781000553413
• File Size : 29,7 Mb
• Total Download : 628
• DOWNLOAD BOOK

Download Geothermal Energy in PDF, Epub, and Kindle

This book focuses on the usage of geothermal energy in countries with low-enthalpy reservoirs. It begins with the fundamentals of geothermal energy and classification of geothermal resources and their importance, including enhanced geothermal systems (EGS). Further, it discusses the creation, production, potential assessment, perspective analysis, life cycle, and environmental assessments of EGS. It describes applications in the field of geothermal energy with relevant case studies and introduces the application of machine learning techniques in the field of geothermal sectors. Features: Focuses on the development of low- to moderate-enthalpy geothermal resources Introduces machine learning tools and artificial intelligence as applied to geothermal energy Provides an understanding of geothermal energy resources and EGS Discusses the possibility of EGS using spallation and laser drilling Includes stimulation methods (thermal, hydraulic, chemical, and explosive) and case studies This book is aimed at researchers and graduate students in geology, clean energy, geothermal energy, and thermal engineering.