Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt

Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt

Abstract This study presents a comprehensive workflow to detect low seismic amplitude gas fields in hydrocarbon exploration projects, focusing on the West Delta Deep Marine (WDDM) concession, offshore Egypt. The workflow integrates seismic spectral decomposition and machine learning algorithms to id...

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Bibliographic Details
Main Authors: Nadia Abd-Elfattah, Aia Dahroug, Manal El Kammar, Ramy Fahmy
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Machine learning
Seismic
AVO
Miocene
Nile Delta
Gas sand
Online Access:https://doi.org/10.1038/s41598-025-86765-7
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https://doi.org/10.1038/s41598-025-86765-7

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