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View article: Leveraging generative AI and hyperspectral drill-core imaging for fully automated mineral mapping of unconventional reservoir
Leveraging generative AI and hyperspectral drill-core imaging for fully automated mineral mapping of unconventional reservoir Open
The acquisition of hyperspectral imagery on core samples significantly enhances the ability of geoscientists to conduct preliminary reservoir characterization particularly for unconventional exploration. Hyperspectral analysis is particula…
View article: Mineral Mapping on Hyperspectral Imageries Using Cohesion-based Self Merging Algorithm
Mineral Mapping on Hyperspectral Imageries Using Cohesion-based Self Merging Algorithm Open
Recently, hybrid clustering algorithms gained much research attention due to better clustering results and are computationally efficient. Hyperspectral image classification studies should be no exception, including mineral mapping. This st…
View article: Geothermal Surface Manifestation Identification Using Airborne Hyperspectral Imagery Case Study: Davis-Schrimpf Geothermal Field, Salton Sea, California
Geothermal Surface Manifestation Identification Using Airborne Hyperspectral Imagery Case Study: Davis-Schrimpf Geothermal Field, Salton Sea, California Open
DOI:10.17014/ijog.9.1.119-130Research on surface geothermal evidence has been done extensively using remote sensing techniques. For detailed remote sensing exploration on geothermal areas, UAV and airborne based were preferred over the sat…
View article: The Application of Parametric and Nonparametric Regression to Predict The Missing Well Log Data
The Application of Parametric and Nonparametric Regression to Predict The Missing Well Log Data Open
DOI:10.17014/ijog.8.3.385-399Incomplete well log data are very commonly encountered problems in petroleum exploration activity. The development of artificial intelligence technology offers a new possible way to predict the required logs us…