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| Author | : Mélody Philippon |
| Publisher | : Frontiers Media SA |
| Total Pages | : 128 |
| Release | : 2020-01-16 |
| Genre | : |
| ISBN | : 2889632865 |
| Author | : Hossein Bonakdari |
| Publisher | : Elsevier |
| Total Pages | : 552 |
| Release | : 2024-07-30 |
| Genre | : Science |
| ISBN | : 0443132925 |
Intelligence Systems for Earth, Environmental and Planetary Sciences: Methods, Models and Applications provides cutting-edge theory and applications of modern-day artificial intelligence and data science in the Earth, environment, and planetary science fields. The book is divided into three sections: (i) Methods, covering the fundamentals of intelligence systems, along with an introduction to the preparation of datasets; (ii) Models, detailing model development, data assimilation, and techniques in each field; and (iii) Applications, presenting case studies of artificial intelligence and data science solutions to Earth, environmental, and planetary sciences problems, as well as future perspectives. Intelligence Systems for Earth, Environmental and Planetary Sciences will be of interest to students, academics, and postgraduate professionals in the field of applied sciences, Earth, environmental, and planetary sciences and would also serve as an excellent companion resource to courses studying artificial intelligence applications for theoretical and practical studies in Earth, environmental, and planetary sciences. Facilitates the application of artificial intelligence and data science systems to create comprehensive methodologies for analyzing, processing, predicting, and management strategies in the fields of Earth, environment, and planetary science Developed with an interdisciplinary framework, with an aim to promote artificial intelligence models for real-time Earth systems Includes a section on case studies of artificial intelligence and data science solutions to Earth, environmental, and planetary sciences problems, as well as future perspectives
| Author | : W. H. Yoxall |
| Publisher | : Cambridge University Press |
| Total Pages | : 232 |
| Release | : 1983-02-10 |
| Genre | : Science |
| ISBN | : 9780521242622 |
First published in 1983, this book describes the construction and in-laboratory use of basic earth-science equipment, including the flume, rainfall simulator, wind tunnel and wave generator. It is emphasised throughout that the equipment should be capable of a high level of control so that experiments can be planned and replicated. The aim of the book is to facilitate the laboratory study of landform processes in courses associated with geomorphology, geology, physical geography and earth science in general. The book contains details of a number of experiments using each type of simulator, and these are described in detail on a formal objective-procedure-conclusion basis, each conclusion being repeated using a 'systems analysis' approach to key attributes. This book will be invaluable to instructions at universities, colleges and secondary schools who teach earth science, geology, physical geography and geomorphology, and to students training to be teachers in these subjects.
| Author | : Michel Perrin |
| Publisher | : Editions TECHNIP |
| Total Pages | : 428 |
| Release | : 2013 |
| Genre | : Computer simulation |
| ISBN | : 9782710810025 |
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 | : Andrea Bistacchi |
| Publisher | : John Wiley & Sons |
| Total Pages | : 243 |
| Release | : 2022-04-05 |
| Genre | : Science |
| ISBN | : 1119313880 |
3D DIGITAL GEOLOGICAL MODELS Discover the practical aspects of modeling techniques and their applicability on both terrestrial and extraterrestrial structures A wide overlap exists in the methodologies used by geoscientists working on the Earth and those focused on other planetary bodies in the Solar System. Over the course of a series of sessions at the General Assemblies of the European Geosciences Union in Vienna, the intersection found in 3D characterization and modeling of geological and geomorphological structures for all terrestrial bodies in our solar system revealed that there are similar datasets and common techniques for the study of all planets—Earth and beyond—from a geological point-of-view. By looking at Digital Outcrop Models (DOMs), Digital Elevation Models (DEMs), or Shape Models (SM), researchers may achieve digital representations of outcrops, topographic surfaces, or entire small bodies of the Solar System, like asteroids or comet nuclei. 3D Digital Geological Models: From Terrestrial Outcrops to Planetary Surfaces has two central objectives, to highlight the similarities that geological disciplines have in common when applied to entities in the Solar System, and to encourage interdisciplinary communication and collaboration between different scientific communities. The book particularly focuses on analytical techniques on DOMs, DEMs and SMs that allow for quantitative characterization of outcrops and geomorphological features. It also highlights innovative 3D interpretation and modeling strategies that allow scientists to gain new and more advanced quantitative results on terrestrial and extraterrestrial structures. 3D Digital Geological Models: From Terrestrial Outcrops to Planetary Surfaces readers will also find: The first volume dedicated to this subject matter that successfully integrates methodology and applications A series of methodological chapters that provide instruction on best practices involving DOMs, DEMs, and SMs A wide range of case studies, including small- to large-scale projects on Earth, Mars, the 67P/Churyumov-Gerasimenko comet, and the Moon Examples of how data collected at surface can help reconstruct 3D subsurface models 3D Digital Geological Models: From Terrestrial Outcrops to Planetary Surfaces is a useful reference for academic researchers in earth science, structural geology, geophysics, petroleum geology, remote sensing, geostatistics, and planetary scientists, and graduate students studying in these fields. It will also be of interest for professionals from industry, particularly those in the mining and hydrocarbon fields.
| Author | : Ziheng Sun |
| Publisher | : Elsevier |
| Total Pages | : 430 |
| Release | : 2023-04-27 |
| Genre | : Science |
| ISBN | : 0323972160 |
Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges provides a comprehensive, step-by-step guide to AI workflows for solving problems in Earth Science. The book focuses on the most challenging problems in applying AI in Earth system sciences, such as training data preparation, model selection, hyperparameter tuning, model structure optimization, spatiotemporal generalization, transforming model results into products, and explaining trained models. In addition, it provides full-stack workflow tutorials to help walk readers through the whole process, regardless of previous AI experience. The book tackles the complexity of Earth system problems in AI engineering, fully guiding geoscientists who are planning to implement AI in their daily work. Provides practical, step-by-step guides for Earth Scientists who are interested in implementing AI techniques in their work Features case studies to show real-world examples of techniques described in the book Includes additional elements to help readers who are new to AI, including end-of-chapter, key concept bulleted lists that concisely cover key concepts in the chapter
| Author | : Steven W. Gilbert |
| Publisher | : NSTA Press |
| Total Pages | : 135 |
| Release | : |
| Genre | : |
| ISBN | : 193515561X |
| Author | : Heather Miller |
| Publisher | : |
| Total Pages | : |
| Release | : 2012 |
| Genre | : |
| ISBN | : |
Conceptualizations of earth's surficial systems pose challenges to scientists, novice teachers, and students alike, because they are variable, non-linear, and dynamic. Developing scientific models of these systems allow users to visualize, manipulate, reason, and organize knowledge about the system under investigation. This dissertation is focused on two research strands using scientific modeling of surficial earth systems. The first strand is focused on a coastal ecosystem impacted by soil salinization and water availability. This study used topography, soil type, soil conductivity, and plant community to develop a conceptualized toposequence of this region to support our understanding of the dominant source of soil salinity. The second strand is twofold: novice understanding of scientific modeling and conceptual model development. The first study evaluates novice science teachers' approach to scientific modeling of a system which they have no prior knowledge about. Through observations, we assessed their science process skills, compared these results to novices and experts working with the same system, and found that novice teachers perform more like novices when faced with scientific investigations. This research will guide future teacher professional development programs to explicitly focus on science process skills and their role in scientific modeling. The second study characterizes the impact of an inquiry-based learning (IBL) module versus a traditionally structured laboratory exercise. The experimental groups were taught using IBL pedagogical techniques through manipulation of large-scale data sets, multiple representations, and a physical model. The control groups were taught traditionally. The groups were not significantly different prior to exposure to the lesson. Pre/post-expressed conceptual models indicate that the experimental group had greater increases in critical thinking. Written reports indicated they further gained in content knowledge, communication of findings, and experimental design. Overall results showed that teaching though IBL coupled with multiple representations had significant positive influence on student's conceptual model development. This synergistic dissertation between science and science education is a model for those wanting to pursue an academic career in geoscience education. This type of synergy between teaching and research allows for greater achievement in and outside the classroom ultimately improving overall education.
| Author | : Jef Caers |
| Publisher | : Wiley |
| Total Pages | : 0 |
| Release | : 2011-07-05 |
| Genre | : Science |
| ISBN | : 9781119992622 |
Modeling Uncertainty in the Earth Sciences highlights the various issues, techniques and practical modeling tools available for modeling the uncertainty of complex Earth systems and the impact that it has on practical situations. The aim of the book is to provide an introductory overview which covers a broad range of tried-and-tested tools. Descriptions of concepts, philosophies, challenges, methodologies and workflows give the reader an understanding of the best way to make decisions under uncertainty for Earth Science problems. The book covers key issues such as: Spatial and time aspect; large complexity and dimensionality; computation power; costs of 'engineering' the Earth; uncertainty in the modeling and decision process. Focusing on reliable and practical methods this book provides an invaluable primer for the complex area of decision making with uncertainty in the Earth Sciences.
| Author | : Arkoprovo Biswas |
| Publisher | : Springer |
| Total Pages | : 314 |
| Release | : 2021-08-22 |
| Genre | : Science |
| ISBN | : 9783030793326 |
The book deals primarily with the aspects of advances in Self-Potential geophysical data modeling, different interpretation techniques, new ideas and an integrated study to delineate the subsurface structures associated with exploration, contamination, buried paleochannels, archaeological investigations, glaciology, geomorphology, subsurface mapping and also in hydrocarbon exploration.The book is specifically aimed with the state-of-art information regarding research advances and new development in these areas of study, coupled to extensive modelling and field investigations obtained from around the world. It is extremely enlightening for the students, research workers, scientists, faculty members in Applied Geophysics, Near Surface Geophysics, Potential field, Electrical and Electromagnetic methods, Mathematical Modeling Techniques in Earth Sciences, as well as Environmental and other practical problems associated with Earth Sciences.
