Sustainable Geoscience For Natural Gas Subsurface Systems
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Sustainable Geoscience for Natural Gas SubSurface Systems
Author: David A. Wood
language: en
Publisher: Gulf Professional Publishing
Release Date: 2021-10-30
Sustainable Geoscience for Natural Gas SubSurface Systems delivers many of the scientific fundamentals needed in the natural gas industry, including coal-seam gas reservoir characterization and fracture analysis modeling for shale and tight gas reservoirs. Advanced research includes machine learning applications for well log and facies analysis, 3D gas property geological modeling, and X-ray CT scanning to reduce environmental hazards. Supported by corporate and academic contributors, along with two well-distinguished editors, the book gives today's natural gas engineers both fundamentals and advances in a convenient resource, with a zero-carbon future in mind. - Includes structured case studies to illustrate how new principles can be applied in practical situations - Helps readers understand advanced topics, including machine learning applications to optimize predictions, controls and improve knowledge-based applications - Provides tactics to accelerate emission reductions - Teaches gas fracturing mechanics aimed at reducing environmental impacts, along with enhanced oil recovery technologies that capture carbon dioxide
Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems
Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for subsurface geological prediction problems commonly encountered in applied resource evaluation and reservoir characterization tasks. The book provides insights into how the performance of ML/DL models can be optimized—and sparse datasets of input variables enhanced and/or rescaled—to improve prediction performances. A variety of topics are covered, including regression models to estimate total organic carbon from well-log data, predicting brittleness indexes in tight formation sequences, trapping mechanisms in potential sub-surface carbon storage reservoirs, and more.Each chapter includes its own introduction, summary, and nomenclature sections, along with one or more case studies focused on prediction model implementation related to its topic. - Addresses common applied geological problems focused on machine and deep learning implementation with case studies - Considers regression, classification, and clustering machine learning methods and how to optimize and assess their performance, considering suitable error and accuracy metric - Contrasts the pros and cons of multiple machine and deep learning methods - Includes techniques to improve the identification of geological carbon capture and storage reservoirs, a key part of many energy transition strategies
Advances in Natural Gas: Formation, Processing, and Applications. Volume 3: Natural Gas Hydrates
Advances in Natural Gas: Formation, Processing, and Applications. Volume 3: Natural Gas Hydrates comprises an extensive eight-volume series delving into the intricate realms of both the theoretical fundamentals and practical methodologies associated with the various facets of natural gas. Encompassing the entire spectrum from exploration and extraction to synthesis, processing, purification, and the generation of valuable chemicals and energy, these volumes also navigate through the complexities of transportation, storage challenges, hydrate formation, extraction, and prevention. In Volume 3 titled Natural Gas Hydrates, the fundamental aspects of natural gas hydrates, their associated disasters, and case studies are introduced. This book delves into the intricate details of hydrate structures, physio-chemical properties, and thermodynamics, offering a comprehensive understanding. This volume also explores hydrates as an energy source and covers their dissociation methods. A significant focus is placed on the challenges of natural gas hydrates formation in pipelines, accompanied by prevention techniques. Additionally, this book discusses the discovery and extraction of natural gas hydrates from oceans, shedding light on related geophysical indicators. - Introduces characteristics and properties of natural gas hydrates - Describes pipeline natural gas hydrates and prevention methods - Discusses oceanic natural gas hydrates and extraction methods