Applied Multidimensional Geological Modeling


Applied Multidimensional Geological Modeling
DOWNLOAD

Download Applied Multidimensional Geological Modeling PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Applied Multidimensional Geological Modeling book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page





Applied Multidimensional Geological Modeling


Applied Multidimensional Geological Modeling
DOWNLOAD

Author : Alan Keith Turner
language : en
Publisher: John Wiley & Sons
Release Date : 2021-06-21

Applied Multidimensional Geological Modeling written by Alan Keith Turner and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-21 with Science categories.


Over the past decades, geological survey organizations have digitized their data handling and holdings, unlocking vast amounts of data and information for computer processing. They have undertaken 3-D modeling alongside, and in some cases instead of, conventional geological mapping and begun delivering both data and interpretations to increasingly diverse stakeholder communities. Applied Multidimensional Geological Modeling provides a citable central source that documents the current capabilities and contributions of leading geological survey organization and other practitioners in industry and academia that are producing multidimensional geological models. This book focuses on applications related to human interactions with conditions in the shallow subsurface, within 100-200 m of the surface. The 26 chapters, developed by 100 contributors associated with 37 organizations, discuss topics relevant to any geologist, scientist, engineer, urban planner, or decision maker whose practice includes assessment or planning of underground space.



Mathematics Of Multidimensional Seismic Imaging Migration And Inversion


Mathematics Of Multidimensional Seismic Imaging Migration And Inversion
DOWNLOAD

Author : N. Bleistein
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-22

Mathematics Of Multidimensional Seismic Imaging Migration And Inversion written by N. Bleistein 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 2013-11-22 with Mathematics categories.


For more than 80 years, the oil and gas industry has used seismic methods to construct images and determine physical characteristics of rocks that can yield information about oil and gas bearing structures in the earth. This book presents the different seismic data processing methods, also known as seismic "migration," in a unified mathematical way. The book serves as a bridge between the applied math and geophysics communities by presenting geophysicists with a practical introduction to advanced engineering mathematics, while presenting mathematicians with a window into the world of the mathematically sophisticated geophysicist.



Applied Multidimensional Geological Modeling


Applied Multidimensional Geological Modeling
DOWNLOAD

Author : Alan Keith Turner
language : en
Publisher: John Wiley & Sons
Release Date : 2021-06-18

Applied Multidimensional Geological Modeling written by Alan Keith Turner and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-18 with Science categories.


Over the past decades, geological survey organizations have digitized their data handling and holdings, unlocking vast amounts of data and information for computer processing. They have undertaken 3-D modeling alongside, and in some cases instead of, conventional geological mapping and begun delivering both data and interpretations to increasingly diverse stakeholder communities. Applied Multidimensional Geological Modeling provides a citable central source that documents the current capabilities and contributions of leading geological survey organization and other practitioners in industry and academia that are producing multidimensional geological models. This book focuses on applications related to human interactions with conditions in the shallow subsurface, within 100-200 m of the surface. The 26 chapters, developed by 100 contributors associated with 37 organizations, discuss topics relevant to any geologist, scientist, engineer, urban planner, or decision maker whose practice includes assessment or planning of underground space.



Principles Of Applied Reservoir Simulation


Principles Of Applied Reservoir Simulation
DOWNLOAD

Author : John R. Fanchi
language : en
Publisher: Elsevier
Release Date : 2005-12-08

Principles Of Applied Reservoir Simulation written by John R. Fanchi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-08 with Business & Economics categories.


Simulate reservoirs effectively to extract the maximum oil, gas and profit, with this book and free simlation software on companion web site.



Electromagnetic Methods In Applied Geophysics


Electromagnetic Methods In Applied Geophysics
DOWNLOAD

Author : Misac N. Nabighian
language : en
Publisher: SEG Books
Release Date : 1988

Electromagnetic Methods In Applied Geophysics written by Misac N. Nabighian and has been published by SEG Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Electromagnetic fields categories.


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.



Geostatistical Reservoir Modeling


Geostatistical Reservoir Modeling
DOWNLOAD

Author : Michael J. Pyrcz
language : en
Publisher: Oxford University Press
Release Date : 2014-04-16

Geostatistical Reservoir Modeling written by Michael J. Pyrcz and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-16 with Mathematics categories.


Published in 2002, the first edition of Geostatistical Reservoir Modeling brought the practice of petroleum geostatistics into a coherent framework, focusing on tools, techniques, examples, and guidance. It emphasized the interaction between geophysicists, geologists, and engineers, and was received well by professionals, academics, and both graduate and undergraduate students. In this revised second edition, Deutsch collaborates with co-author Michael Pyrcz to provide an expanded (in coverage and format), full color illustrated, more comprehensive treatment of the subject with a full update on the latest tools, methods, practice, and research in the field of petroleum Geostatistics. Key geostatistical concepts such as integration of geologic data and concepts, scale considerations, and uncertainty models receive greater attention, and new comprehensive sections are provided on preliminary geological modeling concepts, data inventory, conceptual model, problem formulation, large scale modeling, multiple point-based simulation and event-based modeling. Geostatistical methods are extensively illustrated through enhanced schematics, work flows and examples with discussion on method capabilities and selection. For example, this expanded second edition includes extensive discussion on the process of moving from an inventory of data and concepts through conceptual model to problem formulation to solve practical reservoir problems. A greater number of examples are included, with a set of practical geostatistical studies developed to illustrate the steps from data analysis and cleaning to post-processing, and ranking. New methods, which have developed in the field since the publication of the first edition, are discussed, such as models for integration of diverse data sources, multiple point-based simulation, event-based simulation, spatial bootstrap and methods to summarize geostatistical realizations.



Aspects Of The Geology Of Nigeria


Aspects Of The Geology Of Nigeria
DOWNLOAD

Author : R. A. Reyment
language : en
Publisher:
Release Date : 1965

Aspects Of The Geology Of Nigeria written by R. A. Reyment and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1965 with Geology categories.




Mathematical Modeling Of Earth S Dynamical Systems


Mathematical Modeling Of Earth S Dynamical Systems
DOWNLOAD

Author : Rudy Slingerland
language : en
Publisher: Princeton University Press
Release Date : 2011-03-28

Mathematical Modeling Of Earth S Dynamical Systems written by Rudy Slingerland and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-28 with Science categories.


A concise guide to representing complex Earth systems using simple dynamic models Mathematical Modeling of Earth's Dynamical Systems gives earth scientists the essential skills for translating chemical and physical systems into mathematical and computational models that provide enhanced insight into Earth's processes. Using a step-by-step method, the book identifies the important geological variables of physical-chemical geoscience problems and describes the mechanisms that control these variables. This book is directed toward upper-level undergraduate students, graduate students, researchers, and professionals who want to learn how to abstract complex systems into sets of dynamic equations. It shows students how to recognize domains of interest and key factors, and how to explain assumptions in formal terms. The book reveals what data best tests ideas of how nature works, and cautions against inadequate transport laws, unconstrained coefficients, and unfalsifiable models. Various examples of processes and systems, and ample illustrations, are provided. Students using this text should be familiar with the principles of physics, chemistry, and geology, and have taken a year of differential and integral calculus. Mathematical Modeling of Earth's Dynamical Systems helps earth scientists develop a philosophical framework and strong foundations for conceptualizing complex geologic systems. Step-by-step lessons for representing complex Earth systems as dynamical models Explains geologic processes in terms of fundamental laws of physics and chemistry Numerical solutions to differential equations through the finite difference technique A philosophical approach to quantitative problem-solving Various examples of processes and systems, including the evolution of sandy coastlines, the global carbon cycle, and much more Professors: A supplementary Instructor's Manual is available for this book. It is restricted to teachers using the text in courses. For information on how to obtain a copy, refer to: http://press.princeton.edu/class_use/solutions.html



Modern Multidimensional Scaling


Modern Multidimensional Scaling
DOWNLOAD

Author : Ingwer Borg
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-18

Modern Multidimensional Scaling written by Ingwer Borg 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 2013-04-18 with Mathematics categories.


Multidimensional scaling (MDS) is a technique for the analysis of similarity or dissimilarity data on a set of objects. Such data may be intercorrelations of test items, ratings of similarity on political candidates, or trade indices for a set of countries. MDS attempts to model such data as distances among points in a geometric space. The main reason for doing this is that one wants a graphical display of the structure of the data, one that is much easier to understand than an array of numbers and, moreover, one that displays the essential information in the data, smoothing out noise. There are numerous varieties of MDS. Some facets for distinguishing among them are the particular type of geometry into which one wants to map the data, the mapping function, the algorithms used to find an optimal data representation, the treatment of statistical error in the models, or the possibility to represent not just one but several similarity matrices at the same time. Other facets relate to the different purposes for which MDS has been used, to various ways of looking at or "interpreting" an MDS representation, or to differences in the data required for the particular models. In this book, we give a fairly comprehensive presentation of MDS. For the reader with applied interests only, the first six chapters of Part I should be sufficient. They explain the basic notions of ordinary MDS, with an emphasis on how MDS can be helpful in answering substantive questions.



Applied Predictive Modeling


Applied Predictive Modeling
DOWNLOAD

Author : Max Kuhn
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-05-17

Applied Predictive Modeling written by Max Kuhn 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 2013-05-17 with Medical categories.


Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.