Exploring Greek Myth offers an extensive discussion of variant forms of myths and lesser-known stories, including important local myths and local versions of PanHellenic myths. Clark also discusses approaches to understanding myths, allowing students to gain an appreciation of the variety in one volume. Guides students from an introductory understanding of myths to a wide-ranging exploration of current scholarly approaches on mythology as a social practice and as an expression of thought Written in an informal conversational style appealing to students by an experienced lecturer in the field Offers extensive discussion of variant forms of myths and many lesser known, but deserving, stories Investigates a variety of approaches to the study of myth including: the sources of our knowledge of Greek myth, myth and ritual in ancient Greek society, comparative myth, myth and gender, hero cult, psychological interpretation of myth, and myth and philosophy Includes suggestions in each chapter for essays and research projects, as well as extensive lists of books and articles for further reading The author draws on the work of many leading scholars in the field in his exploration of topics throughout the text
Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you how to leverage continually maturing computational intelligence to gain deeper insight from specific exploration data. Case studies illustrate the value propositions of this alternative analytical workflow, and in-depth discussion addresses the many Big Data issues in geophysics and petrophysics. From data collection and context through real-world everyday applications, this book provides an essential resource for anyone involved in oil and gas exploration. Recent and continual advances in machine learning are driving a rapid increase in empirical modeling capabilities. This book shows you how these new tools and methodologies can enhance geophysical and petrophysical data analysis, increasing the value of your exploration data. Apply data-driven modeling concepts in a geophysical and petrophysical context Learn how to get more information out of models and simulations Add value to everyday tasks with the appropriate Big Data application Adjust methodology to suit diverse geophysical and petrophysical contexts Data-driven modeling focuses on analyzing the total data within a system, with the goal of uncovering connections between input and output without definitive knowledge of the system's physical behavior. This multi-faceted approach pushes the boundaries of conventional modeling, and brings diverse fields of study together to apply new information and technology in new and more valuable ways. Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models takes you beyond traditional deterministic interpretation to the future of exploration data analysis.