Reservoir Characterization, Modeling and Quantitative Interpretation: Recent Workflows to Emerging Technologies

Reservoir Characterization, Modeling and Quantitative Interpretation: Recent Workflows to Emerging Technologies offers a wide spectrum of reservoir characterization techniques and technologies, focusing on the latest breakthroughs and most efficient methodologies in hydrocarbon exploration and development. Topics covered include 4D seismic technologies, AVAz inversion, fracture characterization, multiscale imaging technologies, static and dynamic reservoir characterization, among others. The content is delivered through an inductive approach, which will help readers gain comprehensive insights on advanced practices and be able to relate them to other subareas of reservoir characterization, including CO2 storage and data-driven modeling. This will be especially useful for field scientists in collecting and analyzing field data, prospect evaluation, developing reservoir models, and adopting new technologies to mitigate exploration risk. They will be able to solve the practical and challenging problems faced in the field of reservoir characterization, as it will offer systematic industrial workflows covering every aspect of this branch of Earth Science, including subsurface geoscientific perspectives of carbon geosequestration. This resource is a 21st Century guide for exploration geologists, geoscience students at postgraduate level and above, and petrophysicists working in the oil and gas industry. Covers the latest and most effective technologies in reservoir characterization, including Avo analysis, AVAz inversion, wave field separation and Machine Learning techniques Provides a balanced blend of both theoretical and practical approaches for solving challenges in reservoir characterization Includes detailed industry-standard practical workflows, along with code structures for algorithms and practice exercises INDICE: 1. Reservoir Characterization, State of the art, challenges and ways forward2. 3D Seismic attribute visualization and analysis for fault characterization3. Modeling Natural Fracture Networks and Data Assimilation using multipoint geostatistics and machine learning based geomechanical inferences4. Enhanced artificial intelligence workflow for predicting production within the Bakken formation5. Relative seismic inversion: A quick way to understand quantitative potential of the data6. Striking a balance: Seismic inversion with model- and data-driven priors7. AVAz inversion of 4D seismic data for fracture characterization in the Stocker field8. Modeled AVAZ responses of multiple fractured medium9. Seismic AVO analysis for reservoir characterization10. 4D Seismic for Reservoir Management11. Rock physics bridging the gap between seismic data and reservoir properties12. Effective Elastic Medium Properties Using Digital Rocks: Existing Practice and Emerging Trends13. Role of critical data for Geomechanical Modeling & Characterization of Future CO2 Storage Sites14. Geoscientific Approach for Carbon Sequestration Evaluation: A Pragmatic Perspective15. Source rock characterization: Implications to hydrocarbon potential16. Multiscale imaging technologies for shale reservoir characterization

• ISBN: 978-0-323-99593-1
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 516
• Fecha Publicación: 24/10/2023
• Nº Volúmenes: 1
• Idioma: Inglés