Reservoir Characterization, Modeling and Quantitative Interpretation

Recent Workflows to Emerging Technologies

1st Edition, Volume 6 - October 24, 2023
Imprint: Elsevier
Editors: Shib Sankar Ganguli, V.P. Dimri
Language: English
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 technique… 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.

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

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, India

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

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