Gas channels and chimneys prediction using artificial neural networks and multi-seismic attributes, offshore West Nile Delta, Egypt
Abstract Machine learning techniques combined with multi-seismic attributes and well logs
datasets have been successfully used in reducing the risk of drilling operations and …
datasets have been successfully used in reducing the risk of drilling operations and …
Classification and identification of hydrocarbon reservoir lithofacies and their heterogeneity using seismic attributes, logs data and artificial neural networks
M Raeesi, A Moradzadeh, FD Ardejani… - Journal of Petroleum …, 2012 - Elsevier
3D seismic data interpretation plays a key role in identifying Lithofacies and their lateral
changes for hydrocarbon reservoirs exploration. Among mathematical analysis techniques …
changes for hydrocarbon reservoirs exploration. Among mathematical analysis techniques …
Estimating values of the maximum peak ground acceleration of a strong motion by three models of artificial neural networks
A Nasrollahnejad, M Allamehzadeh… - Bulletin of Earthquake …, 2016 - bese.ir
Peak ground acceleration is one of the most important factors that needs to be investigated
in order to predict the devastation potential resulting from earthquakes in reconstruction …
in order to predict the devastation potential resulting from earthquakes in reconstruction …