Machine Learning Assisted Prediction of Porosity and Related Properties Using Digital Rock Images
Accurately estimating reservoir rock properties is paramount for modeling the storage and
flow of fluids (hydrocarbon, carbon dioxide, and groundwater) in porous media. However …
flow of fluids (hydrocarbon, carbon dioxide, and groundwater) in porous media. However …
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 …
Rock physics-based analysis to discriminate lithology and pore fluid saturation of carbonate reservoirs: a case study
Rock physics templates (RPT) and modeling contribute significantly to accurately and fast
characterization of hydrocarbon reservoirs. This study strives to characterize lithology and …
characterization of hydrocarbon reservoirs. This study strives to characterize lithology and …
Multi-step modeling of well logging data combining unsupervised and deep learning algorithms for enhanced characterization of the Quaternary aquifer system in …
In this research, a multi-step modeling approach is followed using unsupervised and deep
learning algorithms to interpret the geophysical well-logging data for improved …
learning algorithms to interpret the geophysical well-logging data for improved …