Sustainable Geoscience for Natural Gas SubSurface Systems
Published on 30. October 2021
434 pages
978-0-323-85466-5 (ISBN)
Description
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
More details
Other editions
Additional editions
David A. Wood | Jianchao Cai
Sustainable Geoscience for Natural Gas SubSurface Systems
Book
11/2021
Gulf Publishing Company
€201.50
Shipment within 15-20 days
Content
1. Pore-scale characterization and fractal analysis for gas migration mechanisms in shale gas reservoirs2. Three-dimensional gas property geological modelling and simulation3. Acoustic, density and seismic attribute analysis to aid gas detection and delineation of reservoir properties4. Integrated microfacies interpretations of large natural gas reservoirs combining qualitative and quantitative image analysis5. Brittleness index predictions from Lower Barnett shale well-log data applying an optimized data matching algorithm at various sampling densities6. Shale kerogen kinetics from multi-heating rate pyrolysis modelling with geological time-scale perspectives for petroleum generation7. Application of few-shot semi-supervised deep learning in organic matter content logging evaluation8. Microseismic analysis to aid gas reservoir characterization9. Coal-bed methane reservoir characterization using well-log data 10. Characterization of gas hydrate reservoirs using well logs and X-ray CT scanning as resources and environmental hazards11. Assessing the sustainability of potential gas hydrate exploitation projects by integrating commercial, environmental, social and technical considerations12. Gas adsorption and reserve estimation for conventional and unconventional gas resources13. Dataset Insight and Variable Influences Established Using Correlations, Regressions and Transparent Customized Formula Optimization
