This volume focuses on the research achievements of the earth sciences in developing the nation's energy resources and on the efforts that still must be made toward solving current and future problems. Contributors point out that efficient exploration for energy resources, evaluation and development of these resources, and effective control of asso

This book provides a comprehensive introduction to multiple-point geostatistics, where spatial continuity is described using training images. Multiple-point geostatistics aims at bridging the gap between physical modelling/realism and spatio-temporal stochastic modelling. The book provides an overview of this new field in three parts. Part I presents a conceptual comparison between traditional random function theory and stochastic modelling based on training images, where random function theory is not always used. Part II covers in detail various algorithms and methodologies starting from basic building blocks in statistical science and computer science. Concepts such as non-stationary and multi-variate modeling, consistency between data and model, the construction of training images and inverse modelling are treated. Part III covers three example application areas, namely, reservoir modelling, mineral resources modelling and climate model downscaling. This book will be an invaluable reference for students, researchers and practitioners of all areas of the Earth Sciences where forecasting based on spatio-temporal data is performed.

Read an interview with the author: "Working Toward Gender Parity in the Geosciences" The geoscience workforce has a lower proportion of women compared to the general population of the United States and compared to many other STEM fields. This volume explores issues pertaining to gender parity in the geosciences, and sheds light on some of the best practices that increase participation by women and promote parity. Volume highlights include: • Lessons learned from NSF-ADVANCE • Data on gender composition of faculty at top earth science institutions in the US • Implicit bias and gender as a social structure • Strategies for institutional change • Dual career couples • Family friendly policies • Role of mentoring • Career advancement for women • Recruiting diverse faculty • Models of institutional transformation Women in the Geosciences is a valuable contribution to the existing literature on gender issues in STEM disciplines. It focuses specifically on the geosciences, with a goal to spreading awareness on the best practices for gender parity in academic geoscience departments. Geoscientists, policymakers, educators and administrators could all greatly benefit from the contents of this volume.

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.

Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more. - 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