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Here is a book for those who need to enhance their command of the English language with the terminology of geosciences. It includes coverage of a wide array of subjects from all branches and disciplines of geosciences.
This glossary provides a ready reference to those in the geosciences with the need to translate from English to Spanish or vice versa. It also provides clear communication, a better understanding, and closer working relationships among geoscientists, engineers, and businessmen.
This book focuses on the potential natural resources of Bangladesh from Precambrian to recent times and their detailed geological background. Natural resources and their management are important for the sustainable economic development of a country. Focusing on the geological setting of the Bengal Basin, Bangladesh Geosciences and Resources Potential introduces and comprehensively describes the depositional environments, status and prospects of the potential natural resources of Bangladesh. Individual chapters outline the potential resources comprising a wide range of deposit types across the country. A selective overview of these natural resources—metallic minerals, coal, limestone, hydrocarbon, peat, placer deposits, surface, groundwater and so forth—is provided with relevant references. The book gives a synthesis of the issues in the mineral, hydrocarbon and water resource sectors from a resource-economic perspective. FEATURES Provides a geoscientific knowledge of the potential natural resources with relevant maps, figures and tables pertaining to the Bangladesh region Explains the resource-economic context, geomorphology and sustainable land use and the effects of climate change on both surface water and groundwater resources Discusses resource potentials based on systematic geological stages Presents the resources of renewable energy and discusses how to increase their use and effectiveness Reinforces basic geological processes and outcomes with an understanding of resource geology and constraints on natural resource management This book is aimed at researchers, graduate students and professionals in geology, energy and mineral resources, hydrogeology, water resources engineering, the environmental sciences and resource exploration and planning.
GPS and GNSS Technology in Geosciences offers an interdisciplinary approach to applying advances in GPS/GNSS technology for geoscience research and practice. As GPS/GNSS signals can be used to provide useful information about the Earth's surface characteristics and land surface composition, GPS equipment and services for commercial purposes continues to grow, thus resulting in new expectations and demands. This book provides case studies for a deeper understanding of the operation and principles of widely applied approaches and the benefits of the technology in everyday research and activities. - Presents processing, methods and techniques of GPS/GNSS implementation that are utilized in in-situ data collection in design and systems analysis - Offers an all-inclusive, critical overview of the state-of-the-art in different algorithms and techniques in GPS/GNSS - Addresses both theoretical and applied research contributions on the use of this technology in a variety of geoscience disciplines
Geomechanics investigates the origin, magnitude and deformational consequences of stresses in the crust. In recent years awareness of geomechanical processes has been heightened by societal debates on fracking, human-induced seismicity, natural geohazards and safety issues with respect to petroleum exploration drilling, carbon sequestration and radioactive waste disposal. This volume explores the common ground linking geomechanics with inter alia economic and petroleum geology, structural geology, petrophysics, seismology, geotechnics, reservoir engineering and production technology. Geomechanics is a rapidly developing field that brings together a broad range of subsurface professionals seeking to use their expertise to solve current challenges in applied and fundamental geoscience. A rich diversity of case studies herein showcase applications of geomechanics to hydrocarbon exploration and field development, natural and artificial geohazards, reservoir stimulation, contemporary tectonics and subsurface fluid flow. These papers provide a representative snapshot of the exciting state of geomechanics and establish it firmly as a flourishing subdiscipline of geology that merits broadest exposure across the academic and corporate geosciences.
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.
Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications of big data and artificial intelligence. This book presents quantitative geosciences in three parts. Part 1 presents data analytics using probability, statistical and machine-learning methods. Part 2 covers reservoir characterization using several geoscience disciplines: including geology, geophysics, petrophysics and geostatistics. Part 3 treats reservoir modeling, resource evaluation and uncertainty analysis using integrated geoscience, engineering and geostatistical methods. As the petroleum industry is heading towards operating oil fields digitally, a multidisciplinary skillset is a must for geoscientists who need to use data analytics to resolve inconsistencies in various sources of data, model reservoir properties, evaluate uncertainties, and quantify risk for decision making. This book intends to serve as a bridge for advancing the multidisciplinary integration for digital fields. The goal is to move beyond using quantitative methods individually to an integrated descriptive-quantitative analysis. In big data, everything tells us something, but nothing tells us everything. This book emphasizes the integrated, multidisciplinary solutions for practical problems in resource evaluation and field development.
Volcanic dust, climate change, tsunamis, earthquakes—geoscience explores phenomena that profoundly affect our lives. But more than that, as Doug Macdougall makes clear, the science also provides important clues to the future of the planet. In an entertaining and accessibly written narrative, Macdougall gives an overview of Earth’s astonishing history based on information extracted from rocks, ice cores, and other natural archives. He explores such questions as: What is the risk of an asteroid striking Earth? Why does the temperature of the ocean millions of years ago matter today? How are efforts to predict earthquakes progressing? Macdougall also explains the legacy of greenhouse gases from Earth’s past and shows how that legacy shapes our understanding of today’s human-caused climate change. We find that geoscience in fact illuminates many of today’s most pressing issues—the availability of energy, access to fresh water, sustainable agriculture, maintaining biodiversity—and we discover how, by applying new technologies and ideas, we can use it to prepare for the future.
Computational Geosciences with Mathematica is the only book written by a geologist specifically to show geologists and geoscientists how to use Mathematica to formulate and solve problems. It spans a broad range of geologic and mathematical topics, which are drawn from the author's extensive experience in research, consulting, and teaching. The reference and text leads readers step-by-step through geologic applications such as custom graphics programming, data input and output, linear and differential equations, linear and nonlinear regression, Monte Carlo simulation, time series and image analysis, and the visualization and analysis of geologic surfaces. It is packed with actual Mathematica output and includes boxed Computer Notes with tips and exploration suggestions.
