Improving Reservoir Quality Prediction of Microporous Carbonates using a Multi-Scale Geophysical Data Analysis Approach

Earth and Planetary Sciences

• Data Transmission 100%
• Microporosity 100%
• Reservoir Quality 100%
• Porosity 87%
• Scanning Electron Microscopy 37%
• Near-Surface Geology 37%
• Microcrystals 37%
• Seismic Data 25%
• Seismic Reflection 25%
• Machine Learning 25%
• Outcrop 25%
• Acoustic Impedance 25%
• Micrite 25%
• Spatial Distribution 12%
• High Resolution 12%
• Oil Recovery 12%
• Ultrasonics 12%
• X Ray Diffraction 12%
• Lithofacies 12%
• Self Organizing Map 12%
• Mudstone 12%
• Late Jurassic 12%
• Image Classification 12%
• Morphology 12%

Keyphrases

• Reservoir Quality Prediction 100%
• Jubaila Formation 33%
• Micrite 33%
• Seismic Reflection Data 16%
• Arab-D Reservoir 16%
• Machine Leaning 16%
• Log-linear Relationship 16%
• Ultrasonic Velocity 16%
• Data Methodology 16%
• Porosity Type 16%
• Pixel-based Machine Learning 16%
• SEM Imagery 16%
• Machine Learning Classification 16%
• Late Jurassic 16%
• Colored Inversion 16%
• Differential Effective Medium 16%
• Differential Effective Medium Model 16%