Reservoir Characterization, Modeling and Quantitative Interpretation: Recent Workflows to Emerging Technologies
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Intro -- Reservoir Characterization, Modeling, and Quantitative Interpretation: Recent Workflows to Emerging Technologies -- Copyright -- Contents -- Foreword -- Chapter One: Reservoir characterization: State-of-the-art, key challenges and ways forward -- Introduction -- Challenges in reservoir property estimation -- Integrated approach for improved reservoir characterization -- Practical workflows of reservoir characterization -- Facies characterization and depositional system -- Sequence stratigraphy: Key to reservoir studies -- Geostatistics for rock and fluid properties -- Development of reservoir model -- Seismic reservoir characterization -- Reservoir studies with 4D seismic -- Microseismic monitoring for reservoir characterization -- Reservoir characterization using seismic inversion -- Seismic attribute analysis -- Rock physics for quantitative seismic analysis -- Reservoir geomechanics -- Latest developments and future prospects of reservoir characterization -- Summary -- References -- Chapter Two: 3D seismic attribute visualization and analysis for fault characterization -- Introduction -- Seismic attributes and workflow -- Dip and azimuth -- Coherence -- Curvature -- Aberrancy -- Structural interpretation workflow -- Case study -- Conclusions -- Chapter Two. References -- References -- Chapter Three: Modeling natural fracture networks and data assimilation using multipoint geostatistics and machine learni ... -- Introduction -- Description of case study -- Geomechanical inference using ML -- Overview of ML algorithm -- Application of ML algorithm to Teapot Dome -- Geostatistical inference using MPS -- MPS algorithm -- Application of MPS algorithm to Teapot Dome -- Combining geomechanical and geostatistical inferences -- Integration algorithm -- Application of integration paradigm to Teapot Dome -- Discussion and conclusion.