Reservoir Characterization, Modeling and Quantitative Interpretation

Recent Workflows to Emerging Technologies

Shib Sankar Ganguli, V.P. Dimri

• Publisher: Elsevier
• Year: 2023
• Print ISBN: 9780323995931
• eBook ISBN: 9780323997188
• Topic: Physical Sciences
• Subtopic: Geology & Earth Sciences

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

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Contributors
• Foreword
• Preface
• Chapter One: Reservoir characterization: State-of-the-art, key challenges and ways forward
• Chapter Two: 3D seismic attribute visualization and analysis for fault characterization
• Chapter Three: Modeling natural fracture networks and data assimilation using multipoint geostatistics and machine learning-based geomechanical inferences
• Chapter Four: Enhanced artificial intelligence workflow for predicting production within the Bakken formation
• Chapter Five: Relative seismic inversion: A quick way to understand the quantitative potential of the data
• Chapter Six: Striking a balance: Seismic inversion with model- and data-driven priors
• Chapter Seven: AVAz inversion of 4D seismic data for fracture characterization: A case study in the Barnett shale
• Chapter Eight: Modeled AVAZ responses of multiple fractured medium
• Chapter Nine: Seismic AVO analysis for reservoir characterization
• Chapter Ten: 4D seismic for reservoir management
• Chapter Eleven: Rock physics theory: Bridging the gap between seismic data and reservoir properties
• Chapter Twelve: Effective elastic medium properties using digital rocks: Existing practice and emerging trends
• Chapter Thirteen: Role of critical data for geomechanical modeling and characterization of future CO2 storage sites
• Chapter Fourteen: Geoscientific approach for carbon sequestration evaluation: A pragmatic perspective
• Chapter Fifteen: Source rock characterization: Role of plant resins as a stimulus for hydrocarbon potential
• Chapter Sixteen: Multiscale imaging technologies for shale reservoir characterization
• Index