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Predicting Shale Volume from Seismic Traces Using Modified Random Vector Functional Link Based on Transient Search Optimization Model: A Case Study from Netherlands North Sea

Mohamed Abd Elaziz, Ashraf Ghoneimi, Ammar H. Elsheikh, Laith Abualigah, Ahmed Bakry, Muhammad Nabih

2022Natural Resources Research14 citationsDOI

Topics & Concepts

PetrophysicsGeologySeismic to simulationArtificial neural networkVolume (thermodynamics)Seismic attributeOil shaleBoreholeWell loggingSeismologySeismic inversionComputer scienceGeophysicsAzimuthArtificial intelligenceGeotechnical engineeringPorosityQuantum mechanicsPaleontologyPhysicsAstronomyHydraulic Fracturing and Reservoir AnalysisDrilling and Well EngineeringSeismic Imaging and Inversion Techniques
Predicting Shale Volume from Seismic Traces Using Modified Random Vector Functional Link Based on Transient Search Optimization Model: A Case Study from Netherlands North Sea | Litcius