Improvement of channel and bright spots detection using seismic attributes and spectral decomposition tools: a case study from Netherlands North Sea

Faculty Science Year: 2019
Type of Publication: ZU Hosted Pages:
Authors:
Ahmed mohamed abdel hameed bakry
Journal: Bulletin of Faculty of Science - Zagazig University Bulletin of Faculty of Science - Zagazig University Volume:
Keywords : Improvement , channel , bright spots detection using    
Abstract:
This study aims to use a 3D seismic data volume in the Netherlands North Sea area to locate and improve the tracking of the shallow fluvial channel system of the Pliocene-Pleistocene time. The methodology implemented here is to analyze the
   
     
 
       

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  • Ahmed mohamed abdel hameed bakry, "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", Springer, 2022 More
  • Ahmed mohamed abdel hameed bakry, "Rock Physics Analysis from Predicted Poisson’s Ratio Using RVFL based on Wild Geese Algorithm in Scarab Gas Field in WDDM Concession, Egypt", Elsevier Ltd., 2023 More
  • Ahmed mohamed abdel hameed bakry, "Contribution of Fluid Substitution and Cheetah Optimizer Algorithm in Predicting Rock-Physics Parameters of Gas-Bearing Reservoirs in the Eastern Mediterranean Sea, Egypt", Springer Nature, 2023 More
  • Ahmed mohamed abdel hameed bakry, "Petrophysical and Rock Physics Analysis Using Well Log Data for Gas Detection in Scarab Gas Field, West Delta Deep Marine Concession, Egypt", Bulletin of Faculty of Science, Zagazig University (BFSZU), 2023 More
  • Ahmed mohamed abdel hameed bakry, "Optimization of rock physics recognition using integrated seismic and well log data", 2024 More

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  • Osama Mohamed Abdelmoneim Elbadry, "Khedr, El-Badry, O. Potts, and Sehim, : Tectonic implications of syndepositional slumping structures, Hammam Faraun district, Gulf of Suez, Sinai, Egypt. Sedimentology of Egypt, V. 11, p. 211 – 226. (2003)", لايوجد, 1900 More
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