Subject
Organic Chemistry,Process Chemistry and Technology,Geochemistry and Petrology,Fuel Technology,Renewable Energy, Sustainability and the Environment,Catalysis
Cited by
5 articles.
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1. Hydraulic flow units (HFUs) prediction using integrated probabilistic neural network (PNN) and seismic attributes: A case study in Ekofisk Formation, North Sea;Seventh International Conference on Engineering Geophysics, Al Ain, UAE, 16–19 October 2023;2024-03-12
2. Spectral Decomposition-Based Quantitative Inverted Velocity Dynamical Simulations of Early Cretaceous Shaly-Sandstone Natural Gas System, Indus Basin, Pakistan: Implications for Low-Velocity Anomalous Zones for Gas Exploration;Natural Resources Research;2023-04-01
3. Integration of Seismic Attributes with Well Logs Using Artificial Neural Network for Predicting the Key Pay Zones Parameters: A Case Study in the Kifl Field, South of Iraq;Arabian Journal of Geosciences;2022-08
4. Seismic inversion as a reliable technique to anticipating of porosity and facies delineation, a case study on Asmari Formation in Hendijan field, southwest part of Iran;Journal of Petroleum Exploration and Production Technology;2022-04-13
5. Use of Seismic Spectral Decomposition, Phase, and Relative Geologic Age as Attributes to Improve Quantitative Porosity Prediction in the Daqing Field, China;Applied Sciences;2021-08-30