Recent advances in reservoir characterization: Introduction
Author:
Publisher
Elsevier BV
Subject
Renewable Energy, Sustainability and the Environment,Energy (miscellaneous),Geophysics,Geology
Reference13 articles.
1. A machine learning approach for the prediction of pore pressure using well log data of Hikurangi Tuaheni Zone of IODP Expedition 372, New Zealand;Das;Energy Geoscience,2023
2. Reservoir heterogeneity analysis using multi-directional textural attributes from deep learning-based enhanced acoustic impedance inversion: a study from Poseidon, NW shelf Australia;Dixit;Energy Geoscience,2023
3. Angular unconformity in pennsylvanian strata from 3-D seismic interpretation, goldsmith field, west Texas;Egbobawaye;Energy Geoscience,2023
4. Inversion of walkaway VSP data in the presence of lateral velocity heterogeneity;Grechka;Energy Geoscience,2023
5. Improved reservoir characterization by means of supervised machine learning and model-based seismic impedance inversion in the Penobscot field, Scotian Basin;Narayan;Energy Geoscience,2023
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