Optimal monitoring design for uncertainty quantification during geologic CO2 sequestration: A machine learning approach
An effective monitoring design is crucial to ensure the safe and permanent geologic storage
of CO 2. Optimal monitoring design involve an optimal placement of monitoring wells, and …
of CO 2. Optimal monitoring design involve an optimal placement of monitoring wells, and …
Anisotropic resistivity estimation and uncertainty quantification from borehole triaxial electromagnetic induction measurements: Gradient-based inversion and physics …
Rapid and accurate petrophysical reservoir description and quantification is important for
subsurface energy resource modeling and engineering. Triaxial borehole resistivity …
subsurface energy resource modeling and engineering. Triaxial borehole resistivity …
Residual Convolutional Neural Network for Lithology Classification: A Case Study of an Iranian Gas Field
SHR Mousavi… - International Journal of …, 2024 - Wiley Online Library
Gas reservoir development and the estimation of rock properties heavily rely on lithology
classification, which can be difficult, time‐consuming, and prone to errors. In this study, a …
classification, which can be difficult, time‐consuming, and prone to errors. In this study, a …
Stochastic pix2vid: A new spatiotemporal deep learning method for image-to-video synthesis in geologic CO storage prediction
Numerical simulation of multiphase flow in porous media is an important step in
understanding the dynamic behavior of geologic CO 2 storage (GCS). Scaling up GCS …
understanding the dynamic behavior of geologic CO 2 storage (GCS). Scaling up GCS …
Automatic rock classification from core data to well logs: Using machine learning to accelerate potential CO2 storage site characterization
We develop a method for automatic rock classification (ARC) from core data to well-log scale
using unsupervised machine learning. Our ARC method estimates rock classes along a well …
using unsupervised machine learning. Our ARC method estimates rock classes along a well …