Sustainable Geoscience for Natural Gas SubSurface Systems
Autor: | David Wood, Jianchao Cai |
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EAN: | 9780323854665 |
eBook Format: | |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 30.10.2021 |
Kategorie: | |
Schlagworte: | 3D modeling Acoustic impedance Arrhenius first-order reactions Brittleness CBM well-log relationships Carbonate and clastic microfacies Climate change Clustering/classification algorithms Coal characterization Coal gas content Coal structur |
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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