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Reservoir Characterization, Modeling and Quantitative Interpretation
Recent Workflows to Emerging Technologies
1st Edition, Volume 6 - October 24, 2023
Editors: Shib Sankar Ganguli, V.P. Dimri
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 9 5 9 3 - 1
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 9 7 1 8 - 8
Reservoir Characterization, Modeling and Quantitative Interpretation: Recent Workflows to Emerging Technologies offers a wide spectrum of reservoir characterization techniques and… Read more
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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
Exploration geologists, geoscience students at postgraduate level and above, and petrophysicists working in the oil and gas industry, Academics and researchers in Geology and Exploration Geophysics
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Foreword
- Preface
- Chapter One Reservoir characterization: State-of-the-art, key challenges and ways forward
- Abstract
- Introduction
- Challenges in reservoir property estimation
- Integrated approach for improved reservoir characterization
- Practical workflows of reservoir characterization
- Latest developments and future prospects of reservoir characterization
- Summary
- References
- Chapter Two 3D seismic attribute visualization and analysis for fault characterization
- Abstract
- Introduction
- Seismic attributes and workflow
- Case study
- Conclusions
- Acknowledgments
- References
- Chapter Three Modeling natural fracture networks and data assimilation using multipoint geostatistics and machine learning-based geomechanical inferences
- Abstract
- Introduction
- Description of case study
- Geomechanical inference using ML
- Geostatistical inference using MPS
- Combining geomechanical and geostatistical inferences
- Discussion and conclusion
- References
- Chapter Four Enhanced artificial intelligence workflow for predicting production within the Bakken formation
- Abstract
- Introduction
- Dataset overview
- Proposed workflow
- Methods
- Machine learning model performance metrics
- Results
- Discussion
- Conclusion
- References
- Chapter Five Relative seismic inversion: A quick way to understand the quantitative potential of the data
- Abstract
- Introduction
- Relative AVO inversion
- Inversion operator design
- AVO class strength cube
- Limitations
- Discussion
- Conclusions
- References
- Chapter Six Striking a balance: Seismic inversion with model- and data-driven priors
- Abstract
- Introduction
- Theory
- Numerical examples
- Discussion
- Conclusion
- Acknowledgments
- References
- Chapter Seven AVAz inversion of 4D seismic data for fracture characterization: A case study in the Barnett shale
- Abstract
- Introduction
- Background
- Theory
- Results
- Conclusions
- References
- Chapter Eight Modeled AVAZ responses of multiple fractured medium
- Abstract
- Introduction
- Theory
- Results
- Conclusions
- References
- Chapter Nine Seismic AVO analysis for reservoir characterization
- Abstract
- Introduction
- AVO modeling
- AVO attributes
- AVO cross-plot
- Frequency-dependent AVO
- Discussion
- Summary
- Acknowledgments
- References
- Chapter Ten 4D seismic for reservoir management
- Abstract
- Introduction
- Rock physics and 4D seismic
- Feasibility study
- 4D seismic repeatability
- 4D acquisition
- 4D seismic processing
- 4D data interpretation
- Advances, opportunities, and value addition
- Summary
- References
- Chapter Eleven Rock physics theory: Bridging the gap between seismic data and reservoir properties
- Abstract
- Rock physics fundamentals
- Rock physics model, bounds, and mixing laws
- Voigt and Reuss bounds
- Backus effective medium model
- Hashin-Shtrikman-Walpole bounds
- Anisotropic Hashin-Shtrikman bounds
- Self-consistent approximation model and differential effective medium model
- Schoenberg-Helbig orthorhombic model
- Question of fluid
- Fluid mixing
- Gassmann’s relation: Fluid substitution
- Anisotropic Gassmann relation: Fluid substitution
- Conclusions
- Exercise 1
- Exercise 2
- References
- Chapter Twelve Effective elastic medium properties using digital rocks: Existing practice and emerging trends
- Abstract
- Introduction
- Background
- Theory
- Methodology
- Future trends of DRP
- Conclusion
- References
- Chapter Thirteen Role of critical data for geomechanical modeling and characterization of future CO2 storage sites
- Abstract
- Introduction
- CO2 storage
- Workflow for CO2 storage site identification
- Geomechanical modeling
- Assessment of critical data and related uncertainty
- Role of experimental data and reservoir stability analysis
- Time-dependent elastic properties and deformation modeling
- Conclusions
- References
- Chapter Fourteen Geoscientific approach for carbon sequestration evaluation: A pragmatic perspective
- Abstract
- Introduction
- Geological storage of CO2
- Trapping mechanism
- Rock-CO2 interaction
- Reservoir characterization for sequestration
- Deep learning-based simulator for carbon sequestration—Futuristic Tutorial
- Geomechanical considerations
- Subsurface monitoring and assurance
- CCS project management
- CCS—Indian perspective
- Conclusions
- References
- Chapter Fifteen Source rock characterization: Role of plant resins as a stimulus for hydrocarbon potential
- Abstract
- Introduction
- General geology of the study area
- Bulk geochemical characterization of Eocene lignites from Cambay Basin
- Molecular signatures and botanical affinity of fossil resins from Cambay Basin
- Resin contribution to Cambay crude oils
- Conclusions
- Acknowledgments
- References
- Chapter Sixteen Multiscale imaging technologies for shale reservoir characterization
- Abstract
- Introduction
- Geology of the Barren Measures formation
- Imaging techniques and applications
- Conclusions
- References
- Index
- No. of pages: 516
- Language: English
- Edition: 1
- Volume: 6
- Published: October 24, 2023
- Imprint: Elsevier
- Paperback ISBN: 9780323995931
- eBook ISBN: 9780323997188
SG
Shib Sankar Ganguli
Dr. Shib Sankar Ganguli is a Scientist at the CSIR-National Geophysical Research Institute and received his Master’s degree in Applied Geophysics (2011) from Indian School of Mines and PhD (2016) from Academy of Scientific and Innovative Research, India. He is a graduate of the SEG/ExxonMobil Student Education Program. Prior to joining CSIR as a Scientist, he served as Inspire Faculty at IIT Kanpur after receiving the highly competitive DST Inspire Faculty Award from the Government of India. He also worked as a visiting scientist at SINTEF Petroleum Research, Norway. He is a recipient of the NASI Platinum Jubilee Young Scientist Medal 2020 from the National Academy of Sciences, the Young Scientist Award from the Ministry of Mines, the TAS Young Scientist Award 2019 and the Springer Outstanding Thesis Prize 2017. His research interests are not limited to but include exploration geophysics, reservoir characterization, seismic, rock physics.
Affiliations and expertise
Scientist, Council of Scientific and Industrial Research -National Geophysical Research Institute, IndiaVD
V.P. Dimri
Dr. Vijay Prasad Dimri completed his post-graduation and PhD from the Indian School of Mines, Dhanbad. He joined the National Geophysical Research Institute (NGRI), where he was the Director from 2001-2010. He was also previously the Director of GERMI, Gandhinagar, Gujarat and CSIR-Distinguished Scientist in CSIR-NGRI, Hyderabad. He was a post-doctoral Fellow in Norway (1986-88) and held the Senior DAAD Fellowship (2001). He was also Adjunct Professor of the University of Hyderabad; IIT, Kharagpur; and Honorary Professor of Andhra University, Visakhapatnam. He has about 125 international and national publications, three filed patents, and nine authored/edited books. Dr. Dimri has received the PadmaShri award in 2010 from the Govt. of India. He is the first Asian recipient of the prestigious Lorenz Award of the American Geophysical Union. He also received Axford Lecture Award in 2010 from Asia Oceania Geosciences Society, Singapore.
Affiliations and expertise
CSIR-National Geophysical Research Institute, Hyderabad, India