A novel directional-oriented method for predicting shear wave velocity through empirical rock physics relationship using geostatistics analysis
This study attempts to design a novel direction–oriented approach for estimating shear wave
velocity (VS) through geostatistical methods (GM) using density employing geophysical log …
velocity (VS) through geostatistical methods (GM) using density employing geophysical log …
Probabilistic Back Analysis Based on Nadam, Bayesian, and Matrix-Variate Deep Gaussian Process for Rock Tunnels
K Chen, AAP Olarte - Rock Mechanics and Rock Engineering, 2024 - Springer
Efficiently determining the properties of the rock mass is essential for evaluating tunnel
stability in tunneling projects. The back-analysis technique is commonly employed as an …
stability in tunneling projects. The back-analysis technique is commonly employed as an …
Novel approaches in geomechanical parameter estimation using machine learning methods and conventional well logs
Today, geomechanics plays a crucial role in the oil industry, particularly in enhancing
production and ensuring well stability. To achieve optimal results, accurate estimation of …
production and ensuring well stability. To achieve optimal results, accurate estimation of …
Prediction of physico-mechanical properties of intact rocks using artificial neural network
The determination of the physico-mechanical characteristics of rocks is very essential for the
planning and implementation of engineering structures as well as for the classification of the …
planning and implementation of engineering structures as well as for the classification of the …
[HTML][HTML] Synthetic shear sonic log generation utilizing hybrid machine learning techniques
J Kim - Artificial Intelligence in Geosciences, 2022 - Elsevier
Compressional and shear sonic logs (DTC and DTS, respectively) are one of the effective
means for determining petrophysical/geomechanical properties. However, the DTS log has …
means for determining petrophysical/geomechanical properties. However, the DTS log has …
Hydraulic flow unit and rock types of the Asmari Formation in the Mansouri oilfield, an application of the Flow zone index and Fuzzy C-means clustering methods
SH Eftekhari, M Memariani, Z Maleki, M Aleali… - 2023 - researchsquare.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 the fuzzy c-means clustering …
defined range of porosity and permeability. This study used the fuzzy c-means clustering …