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Author: Qiuyang Shen
Publisher: Springer Nature
ISBN: 3030570975
Category : Technology & Engineering
Languages : en
Pages : 83
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Book Description
This book presents a comprehensive introduction to well logging and the inverse problem. It explores challenges such as conventional data processing methods’ inability to handle local minima issues, and presents the explanations in an easy-to-follow way. The book describes statistical data interpretation by introducing the fundamentals behind the approach, as well as a range of sampling methods. In each chapter, a specific method is comprehensively introduced, together with representative examples. The book begins with basic information on well logging and logging while drilling, as well as a definition of the inverse problem. It then moves on to discuss the fundamentals of statistical inverse methods, Bayesian inference, and a new sampling method that can be used to supplement it, the hybrid Monte Carlo method. The book then addresses a specific problem in the inversion of downhole logging data, and the interpretation of earth model complexity, before concluding with a meta-technique called the tempering method, which serves as a supplement to statistical sampling methods. Given its scope, the book offers a valuable reference guide for drilling engineers, well logging tool physicists, and geoscientists, as well as students in the areas of petroleum engineering and electrical engineering.
Author: Qiuyang Shen
Publisher: Springer Nature
ISBN: 3030570975
Category : Technology & Engineering
Languages : en
Pages : 83
Get Book Here
Book Description
This book presents a comprehensive introduction to well logging and the inverse problem. It explores challenges such as conventional data processing methods’ inability to handle local minima issues, and presents the explanations in an easy-to-follow way. The book describes statistical data interpretation by introducing the fundamentals behind the approach, as well as a range of sampling methods. In each chapter, a specific method is comprehensively introduced, together with representative examples. The book begins with basic information on well logging and logging while drilling, as well as a definition of the inverse problem. It then moves on to discuss the fundamentals of statistical inverse methods, Bayesian inference, and a new sampling method that can be used to supplement it, the hybrid Monte Carlo method. The book then addresses a specific problem in the inversion of downhole logging data, and the interpretation of earth model complexity, before concluding with a meta-technique called the tempering method, which serves as a supplement to statistical sampling methods. Given its scope, the book offers a valuable reference guide for drilling engineers, well logging tool physicists, and geoscientists, as well as students in the areas of petroleum engineering and electrical engineering.
Author: Qiuyang Shen
Publisher: Springer
ISBN: 9783030570965
Category : Technology & Engineering
Languages : en
Pages : 79
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Book Description
This book presents a comprehensive introduction to well logging and the inverse problem. It explores challenges such as conventional data processing methods’ inability to handle local minima issues, and presents the explanations in an easy-to-follow way. The book describes statistical data interpretation by introducing the fundamentals behind the approach, as well as a range of sampling methods. In each chapter, a specific method is comprehensively introduced, together with representative examples. The book begins with basic information on well logging and logging while drilling, as well as a definition of the inverse problem. It then moves on to discuss the fundamentals of statistical inverse methods, Bayesian inference, and a new sampling method that can be used to supplement it, the hybrid Monte Carlo method. The book then addresses a specific problem in the inversion of downhole logging data, and the interpretation of earth model complexity, before concluding with a meta-technique called the tempering method, which serves as a supplement to statistical sampling methods. Given its scope, the book offers a valuable reference guide for drilling engineers, well logging tool physicists, and geoscientists, as well as students in the areas of petroleum engineering and electrical engineering.
Author: Alex A. Kaufman
Publisher: Elsevier
ISBN: 0128025840
Category : Science
Languages : en
Pages : 522
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Book Description
Basic Principles of Induction Logging provides geoscientists with the information required to survey the electrical conductivity of rocks surrounding a borehole. The formation conductivity distribution in the borehole vicinity is critical information required in formation evaluation and geosteering applications. Developing a theory of EM logging and on understanding basic physics for both wireline and LWD logging tools, this reference furnishes valuable insights for development and use of EM techniques in practical logging applications. Basic Principles of Induction Logging will be vital for anyone attempting to investigate, invent, and develop the next generation of EM logging tools. It will provide information required to enable operation in more challenging environments such as logging while drilling, anisotropic and thinly laminated formations, high angle and horizontal wells. Provides a step-by-step approach to the theory of electromagnetic methods in borehole applications starting from the simplest models Presents theory on the subject that has been previously hard to find, making this a must have reference for anyone working in the field Delivers a much needed update on the latest analysis methods, modelling techniques, drilling environments, and probe configurations
Author: Viacheslav V. Spichak
Publisher: Elsevier
ISBN: 0128196319
Category : Science
Languages : en
Pages : 462
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Book Description
Computational Geo-Electromagnetics: Methods, Models, and Forecasts, Volume Five in the Computational Geophysics series, is devoted to techniques for building of geoelectrical models from electromagnetic data, featuring Bayesian statistical analysis and neural network algorithms. These models are applied to studying the geoelectrical structure of famous volcanoes (i.e., Vesuvio, Kilauea, Elbrus, Komagatake, Hengill) and geothermal zones (i.e., Travale, Italy; Soultz-sous-Forets, Elsace). Methodological recommendations are given on electromagnetic sounding of faults as well as geothermal and hydrocarbon reservoirs. Techniques for forecasting of petrophysical properties from the electrical resistivity as proxy parameter are also considered. Computational Geo-Electromagnetics: Methods, Models, and Forecasts offers techniques and algorithms for building geoelectrical models under conditions of rare or irregularly distributed EM data and/or lack of prior geological and geophysical information. This volume also includes methodological guidelines on interpretation of electromagnetic sounding data depending on goals of the study. Finally, it details computational algorithms for using electrical resistivity for properties beyond boreholes.
Author: Misac N. Nabighian
Publisher: SEG Books
ISBN: 0931830516
Category : Electromagnetic fields
Languages : en
Pages : 529
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Book Description
Author: Viacheslav V. Spichak
Publisher: Elsevier
ISBN: 0444635572
Category : Science
Languages : en
Pages : 458
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Book Description
Electromagnetic Sounding of the Earth's Interior 2nd edition provides a comprehensive up-to-date collection of contributions, covering methodological, computational and practical aspects of Electromagnetic sounding of the Earth by different techniques at global, regional and local scales. Moreover, it contains new developments such as the concept of self-consistent tasks of geophysics and , 3-D interpretation of the TEM sounding which, so far, have not all been covered by one book. Electromagnetic Sounding of the Earth's Interior 2nd edition consists of three parts: I- EM sounding methods, II- Forward modelling and inversion techniques, and III - Data processing, analysis, modelling and interpretation. The new edition includes brand new chapters on Pulse and frequency electromagnetic sounding for hydrocarbon offshore exploration. Additionally all other chapters have been extensively updated to include new developments. - Presents recently developed methodological findings of the earth's study, including seismoelectrical and renewed magnetovariational approaches - Provides methodological guidelines for Electromagnetic data interpretation in various geological environments - Contains a balanced set of lectures covering all aspects of Electromagnetic sounding at global, regional and local levels along with case studies, highlighting the practical importance of electromagnetic data - Updates current findings in the field, in particular MT, magnetovariational and seismo-electrical methods and the practice of 3D interpretations
Author: Leonardo Azevedo
Publisher: Springer
ISBN: 3319532014
Category : Science
Languages : en
Pages : 159
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Book Description
This book presents a geostatistical framework for data integration into subsurface Earth modeling. It offers extensive geostatistical background information, including detailed descriptions of the main geostatistical tools traditionally used in Earth related sciences to infer the spatial distribution of a given property of interest. This framework is then directly linked with applications in the oil and gas industry and how it can be used as the basis to simultaneously integrate geophysical data (e.g. seismic reflection data) and well-log data into reservoir modeling and characterization. All of the cutting-edge methodologies presented here are first approached from a theoretical point of view and then supplemented by sample applications from real case studies involving different geological scenarios and different challenges. The book offers a valuable resource for students who are interested in learning more about the fascinating world of geostatistics and reservoir modeling and characterization. It offers them a deeper understanding of the main geostatistical concepts and how geostatistics can be used to achieve better data integration and reservoir modeling.
Author: Max A. Meju
Publisher: SEG Books
ISBN: 156080257X
Category : Geophysics
Languages : en
Pages : 305
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Book Description
This publication is designed to provide a practical understanding of methods of parameter estimation and uncertainty analysis. The practical problems covered range from simple processing of time- and space-series data to inversion of potential field, seismic, electrical, and electromagnetic data. The various formulations are reconciled with field data in the numerous examples provided in the book; well-documented computer programmes are also given to show how easy it is to implement inversion algorithms.
Author: Misac N. Nabighian
Publisher: SEG Books
ISBN: 1560800224
Category : Electromagnetic fields
Languages : en
Pages : 989
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Book Description
As a slag heap, the result of strip mining, creeps closer to his house in the Ohio hills, fifteen-year-old M. C. is torn between trying to get his family away and fighting for the home they love.
Author: Fiona Simpson
Publisher: Cambridge University Press
ISBN: 9780521817271
Category : Science
Languages : en
Pages : 276
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Book Description
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