Mapping and litho‐geophysical classification of potential mining areas by spatial remote sensing and helicopter‐borne gamma‐ray spectrometry (Tikirt, Anti‐Atlas …

L Achkouch, A Miftah, M Ouchchen… - Geophysical …, 2023 - earthdoc.org
The primary focus of this study is to explore the potential mineral areas. Advanced
Spaceborne Thermal Emission and Reflection Radiometer images and radiometric data …

Fuzzy set concept in structural geology: Example of ductile simple shear

P Anand, S Chakraverty, S Mukherjee - Journal of Earth System Science, 2021 - Springer
Much of the time, geological data are not accurately known. Instead, geoscientists work with
a range of possible data. These data can have a range since they can vary spatially and …

Application of machine learning in reservoir characterization

F Aminzadeh - Reservoir Characterization: Fundamentals and …, 2021 - Wiley Online Library
This chapter gives a brief overview of reservoir characterization, with a focus on how the
emerging artificial intelligence, machine learning and data analytics techniques can improve …

The Co-Saline Storage Method: Advanced Modeling to Accelerate Offshore CCS

R Kelly, CC Gabriel, MM MacKenzie, M Julia… - Offshore Technology …, 2024 - onepetro.org
Offshore locations present significant potential for geologic carbon storage (GCS). Key
differences and benefits over onshore GCS include locations distal from population centers …

[PDF][PDF] Potential locations for relief centers for earthquake hazard using bipolar fuzzy graphs: Example from Kutch area, Gujarat, India

M Kanvinde, OT Manjusha, S Mukherjee - researchgate.net
Seismic hazard is a severe natural disaster for which we must to stay prepared, especially at
the locations the hazard has its highest chance. The Kutch area in western India is one such …