Employing Statistical Algorithms and Clustering Techniques to Assess Lithological Facies for Identifying Optimal Reservoir Rocks: A Case Study of the Mansouri …
SH Eftekhari, M Memariani, Z Maleki, M Aleali… - Minerals, 2024 - mdpi.com
The crucial parameters influencing drilling operations, reservoir production behavior, and
well completion are lithology and reservoir rock. This study identified optimal reservoir rocks …
well completion are lithology and reservoir rock. This study identified optimal reservoir rocks …
Hydraulic flow unit and rock types of the Asmari Formation, an application of flow zone index and fuzzy C-means clustering methods
SH Eftekhari, M Memariani, Z Maleki, M Aleali… - Scientific Reports, 2024 - nature.com
Rock types are the reservoir's most essential properties for special facies modeling in a
defined range of porosity and permeability. This study used clustering techniques to identify …
defined range of porosity and permeability. This study used clustering techniques to identify …
[HTML][HTML] Spatial Characterisation of Groundwater systems using Fuzzy c-Mean Clustering: A Multi-parameter approach in Crystalline Aquifers
Similarity based approaches to groundwater system characterization has proven to be of
great value in describing groundwater system in terms of assessment and prediction of …
great value in describing groundwater system in terms of assessment and prediction of …
A fuzzy C-means clustering approach for petrophysical characterization of lithounits in the North Singhbhum Mobile Belt, Eastern India
The characterization of the various rock types through petrophysical data analysis is
essential for comprehending geological processes and enhancing the efficacy of …
essential for comprehending geological processes and enhancing the efficacy of …
Optimization of Survey Area for Auriferous-Sulphide Mineralization Using Integrated Geophysical Study: A Case Study from Gani-Kalva Fault Zone, Cuddapah Basin …
D Vijayakumar, MM Babu, GS Rao, G Rohit… - Pure and Applied …, 2023 - Springer
Abstract The Gani-Kalva fault (GKF), located in the western part of the Cuddapah basin,
India, is well known for hosting mineral deposits of iron, copper, and gold. In the present …
India, is well known for hosting mineral deposits of iron, copper, and gold. In the present …
Integration of Airborne Geophysics Data with Fuzzy c-means Unsupervised Machine Learning Method to Predict Geological Map, Shahr-e-Babak Study Area …
M Jahantigh, HR Ramazi - Journal of Mining and Environment, 2025 - jme.shahroodut.ac.ir
Fuzzy c-means (FCM) is an unsupervised machine learning algorithm. This method assists
in integrating airborne geophysics data and extracting automatic geological map. This paper …
in integrating airborne geophysics data and extracting automatic geological map. This paper …