Artificial Intelligence for Subsurface Characterization and Monitoring
portes grátis
Artificial Intelligence for Subsurface Characterization and Monitoring
Abubakar, Aria
Elsevier - Health Sciences Division
01/2025
288
Mole
9780443235177
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Part I: Deep Learning for Data Enrichment
1. Rejuvenating legacy data by digitizing raster logs
2. Information extraction from unstructured well reports
Part II: Deep learning Applied to Well Log Data
3. Well log data QC and processing: correction, outlier detection, and reconstruction
4. Automatic well marker picking
5. Automatic log interpretation
Part III: Deep learning Applied to Seismic Data
6. Intelligent processing for clearer seismic images
7. Seismic interpretation with improved quality and efficiency
Part IV: Deep learning for Data Integration
8. Automatic seismic-well tie
9. Rock property inversion and validation
Part V: Deep learning in Time Lapse Scenarios
10. Sparse data reconstruction for reducing the cost of 4D seismic data
11. Time-lapse seismic data repeatability enforcement
12. Direct property prediction from pre-migration seismic data
1. Rejuvenating legacy data by digitizing raster logs
2. Information extraction from unstructured well reports
Part II: Deep learning Applied to Well Log Data
3. Well log data QC and processing: correction, outlier detection, and reconstruction
4. Automatic well marker picking
5. Automatic log interpretation
Part III: Deep learning Applied to Seismic Data
6. Intelligent processing for clearer seismic images
7. Seismic interpretation with improved quality and efficiency
Part IV: Deep learning for Data Integration
8. Automatic seismic-well tie
9. Rock property inversion and validation
Part V: Deep learning in Time Lapse Scenarios
10. Sparse data reconstruction for reducing the cost of 4D seismic data
11. Time-lapse seismic data repeatability enforcement
12. Direct property prediction from pre-migration seismic data
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Deep learning; Energy; Seismic; Well log; Subsurface; Enrichment; Processing; Interpretation; Modeling; Monitoring
Part I: Deep Learning for Data Enrichment
1. Rejuvenating legacy data by digitizing raster logs
2. Information extraction from unstructured well reports
Part II: Deep learning Applied to Well Log Data
3. Well log data QC and processing: correction, outlier detection, and reconstruction
4. Automatic well marker picking
5. Automatic log interpretation
Part III: Deep learning Applied to Seismic Data
6. Intelligent processing for clearer seismic images
7. Seismic interpretation with improved quality and efficiency
Part IV: Deep learning for Data Integration
8. Automatic seismic-well tie
9. Rock property inversion and validation
Part V: Deep learning in Time Lapse Scenarios
10. Sparse data reconstruction for reducing the cost of 4D seismic data
11. Time-lapse seismic data repeatability enforcement
12. Direct property prediction from pre-migration seismic data
1. Rejuvenating legacy data by digitizing raster logs
2. Information extraction from unstructured well reports
Part II: Deep learning Applied to Well Log Data
3. Well log data QC and processing: correction, outlier detection, and reconstruction
4. Automatic well marker picking
5. Automatic log interpretation
Part III: Deep learning Applied to Seismic Data
6. Intelligent processing for clearer seismic images
7. Seismic interpretation with improved quality and efficiency
Part IV: Deep learning for Data Integration
8. Automatic seismic-well tie
9. Rock property inversion and validation
Part V: Deep learning in Time Lapse Scenarios
10. Sparse data reconstruction for reducing the cost of 4D seismic data
11. Time-lapse seismic data repeatability enforcement
12. Direct property prediction from pre-migration seismic data
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.