Author: Jean-Laurent Mallet
Publisher: Oxford University Press
ISBN: 9780198033035
Category : Science
Languages : en
Pages : 616
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Book Description
Geomodeling applies mathematical methods to the unified modeling of the topology, geometry, and physical properties of geological objects. The methodology (gOcad, computer assisted design of geological data) is general, but in this book the author presents a new interpolation method for modeling natural objects that allows application of a wide range of complex data. The audience for the book will be graduate students and practitioners in the earth and environmental sciences.
Author: B. S. Daya Sagar
Publisher: Springer Nature
ISBN: 3030850404
Category : Science
Languages : en
Pages : 1744
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Book Description
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.
Author: Cedric Schmelzbach
Publisher: Academic Press
ISBN: 012815537X
Category : Science
Languages : en
Pages : 182
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Book Description
Advances in Geophysics is a highly-respected publication in the field of geophysics. Since 1952, each volume has been eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with over 50 volumes, the series contains much material still relevant today – truly an essential publication for researchers in all fields of geophysics. - 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
Author: Alan Keith Turner
Publisher: John Wiley & Sons
ISBN: 1119163102
Category : Science
Languages : en
Pages : 672
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Book Description
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.
Author: Pasquale Imperatore
Publisher: BoD – Books on Demand
ISBN: 9535126261
Category : Technology & Engineering
Languages : en
Pages : 261
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Book Description
The pervasive relevance of geospatial information and the development of emerging geospatial technologies offer new opportunity for bridging the gap between remote sensing scientific know-how and end users of products and services. Geospatial technology comprises tools and techniques dealing with the use of spatially referenced information, for the description and modeling of spatial and dynamic phenomena related to the Earth's environment. This book addresses environmental and social applications of geospatial technologies, thus also providing a multidisciplinary perspective on emerging geospatial techniques and tools. It consists of ten chapters offering insight into geospatial technology progress and trends. Authors present several application-oriented studies from various parts of the world, including applications in collaborative geomatics, geospatial statistics, GIS, agriculture, and natural hazard monitoring.
Author: Hugo Fuks
Publisher: Springer Science & Business Media
ISBN: 3540291105
Category : Computers
Languages : en
Pages : 388
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Book Description
This book constitutes the refereed proceedings of the 11th International Workshop on Groupware, CRIWG 2005, held in Porto de Galinhas, Brazil in September 2005. The 16 revised full papers and 13 revised short papers presented together with a keynote paper were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on groupware development, collaborative applications, workflow management, knowledge management, computer supported collaborative learning, group decision support systems, mobile collaborative work, and work modeling in CSCW.
Author: M.R. Fassihi
Publisher: CRC Press
ISBN: 1000802892
Category : Technology & Engineering
Languages : en
Pages : 249
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Book Description
The greatest challenge facing humanity today is the transition to a more sustainable energy infrastructure while reducing greenhouse gas emissions. Meeting this challenge will require a diversified array of solutions spanning across multiple industries. One of the solutions rising to the fore is the potential to rapidly build out carbon sequestration, which involves the removal of CO2 from the atmosphere and its storage in the subsurface. Integrated Aquifer Characterization and Modeling for Energy Sustainability: Key Lessons from the Petroleum Industry provides a comprehensive and practical technical guide into the potential that aquifers hold as sites for carbon and energy storage. Aquifers occupy a significant part of the Earth’s available volume in the subsurface and thus hold immense potential as sites for carbon storage. Many aquifers have been studied extensively as part of oil and gas energy development projects and, as such, they represent an opportunity to sequester carbon within existing areas of infrastructure that have already been impacted by, and integrated into, an inherited energy framework. Moreover, future efforts to reconfigure the landscape of our national and global energy systems can extract valuable lessons from this existing trove of data and expertise. From a multidisciplinary perspective, this book provides a valuable and up-to-date overview of how we can draw on the wealth of existing technologies and data deployed by the petroleum industry in the transition to a more sustainable future. Integrated Aquifer Characterization and Modeling for Energy Sustainability will be of value to academic, professional and business audiences who wish to evaluate the potential underground storage of carbon and/or energy, and for policy makers in developing the right policy tools to further the goals of a sustainable energy transition.
Author: Michel Perrin
Publisher: Editions TECHNIP
ISBN: 9782710810025
Category : Technology & Engineering
Languages : en
Pages : 428
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Book Description
Over the last two decades, earth modeling has become a major investigative tool for evaluating the potential of hydrocarbon reservoirs. Earth modelling must now face new challenges since petroleum exploration no longer consists in only investigating newly identified resources, but also in re-evaluating the potential of previously investigated reservoirs in the light of new prospecting data and of revised interpretations. Earth models incorporate a variety of different interpretations made on various types of data at successive steps of the modeling process. However, current modeling procedures provide no way to link a range of data and interpretations with a final earth model. For this reason, sharing and exchanging information about the model building process is at present a major difficulty. Recently, the term “Shared Earth Modeling” has been used for expressing the idea that earth models should be built in such a way that experts and end users can have access, at any time, to all the information incorporated into the model. This information does not only concern the data, but also the knowledge that geoscientists produce by interpreting these data. Accordingly, practical solutions must be studied for operating a knowledge-driven approach of Shared Earth Modeling. This is the goal of this book. This study of earth subsurface modeling is intended for several categories of readers. It concerns in the first place geologists, engineers and managers involved in the study and evaluation of subsurface reservoirs and hydrocarbon exploration. Relying on recent progress in various fields of computer sciences, the authors present innovative solutions for solving the critical issue of knowledge exchange at key steps of the modeling process. This book will also be of interest to researchers in computer science and, more generally, to engineers, researchers and students who wish to apply advanced knowledge-based techniques to complex engineering problems. Contents : Part I. Earth Models. 1. Earth models as subsurface representations. 2. Earth models for underground resource exploration and estimation. 3. Earth models used in petroleum industry: current practice and future challenges. Part II. Knowledge oriented solutions. 4. Knowledge based approach of a data intensive problem: seismic interpretation. 5. Individual surface representations and optimization. 6. Geological surface assemblage. 7. 3D Meshes for structural, stratigraphy and reservoir frameworks. 8. The data extension issue: geological constraints applied in geostatistical processes. Part III. Knowledge formalization. 9. Ontologies and their use for geological knowledge formalization. 10. Ontologies for Interpreting geochronological relationships. 11. Building ontologies for analyzing data expressed in natural language. 12. Ontology-based rock description and interpretation. Part IV. Knowledge management & applications. 13. Ontology integration and management within data intensive engineering systems. 14. Earth modeling using web services. 15. Full scale example of a knowledge-based method for building and managing an earth model. Part V. Conclusion. Appendix. Glossary.
Author:
Publisher:
ISBN:
Category : Geophysics
Languages : en
Pages : 856
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Book Description
Author: Yogendra Narayan Pandey
Publisher: Apress
ISBN: 9781484260937
Category : Computers
Languages : en
Pages : 300
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Book Description
Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and production engineering. Throughout the book, the emphasis is on providing a practical approach with step-by-step explanations and code examples for implementing machine and deep learning algorithms for solving real-life problems in the oil and gas industry. What You Will Learn Understanding the end-to-end industry life cycle and flow of data in the industrial operations of the oil and gas industry Get the basic concepts of computer programming and machine and deep learning required for implementing the algorithms used Study interesting industry problems that are good candidates for being solved by machine and deep learning Discover the practical considerations and challenges for executing machine and deep learning projects in the oil and gas industry Who This Book Is For Professionals in the oil and gas industry who can benefit from a practical understanding of the machine and deep learning approach to solving real-life problems.
