Enhanced data-driven machine learning algorithms for predicting sonic logs in unconsolidated gas reservoirs, offshore Nile Delta, Egypt

Unsupervised machine learning-based multi-attributes analysis for enhancing gas channel detection and facies classification in the serpent field, offshore Nile Delta, Egypt

Abstract The prediction of highly heterogeneous reservoir parameters from seismic amplitude data is

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 de

Machine Learning for Sonic Logs Prediction: A Case Study from the Niger Delta Basin in the Gulf of Guinea

Abstract Sonic logs are very essential for rock type identification, hydrocarbon ty

Gas channel delineation utilizing a neural network and 3D seismic attributes: Simian Field, offshore Nile Delta, Egypt

MACHINE LEARNING PREDICTION OF VOLUME FRACTION OF GAS-HYDRATES IN NATURAL GAS PIPELINES IN OFFSHORE NIGER DELTA

This study employs multiphase simulations with OLGA software to investigate volume fractions of hydr

Machine Learning Approach for Reservoir Petrophysical Properties Prediction from Well-Logs Data in the Niger Delta

Abstract In this study, machine learning (ML) models were developed to predict perm