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Assessment of spectral attributes in identifying gas hydrates in seismic data from the Pegasus Basin, offshore New Zealand
(2023-05-13)
Gas hydrates are formed in the subsurface along shallow ocean basins or in permafrost settings, and are commonly identified in the seismic data by the bottom-simulating reflector (BSR). Various methods have been employed ...
Stratigraphic and diagenetic controls on petrofacies and reservoir-quality variability using semi-supervised and supervised machine learning methods: Sycamore Formation, Sho-Vel-Tum Field, Oklahoma, USA
(2021-12-18)
Diagenetic processes in sedimentary rocks have intrigued geologists, but they are poorly understood. In sedimentary fine-grained rocks, there is even less information, due to the complexity and lack of interest despite the ...
Combining seismic attributes and machine learning for seismic facies analysis
(2022-05-13)
Understanding how to correctly select a group of input seismic attributes is critical to perform a robust machine learning (ML)-based seismic facies analysis. However, due to the large number of seismic attributes enhancing ...
Explainable Frontal Boundary Predictions for Applications in Operational Environments
(2024-05-10)
Frontal boundaries drive many high-impact weather events around the globe. Identifying fronts through various thermodynamic fields increases predictability of hazardous weather phenomena. Frontal analysis is still primarily ...