[HTML][HTML] Shear wave velocity prediction: A review of recent progress and future opportunities
Shear logs, also known as shear velocity logs, are used for various types of seismic
analysis, such as determining the relationship between amplitude variation with offset (AVO) …
analysis, such as determining the relationship between amplitude variation with offset (AVO) …
Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms
Shear wave velocity (VS) data from sedimentary rock sequences is a prerequisite for
implementing most mathematical models of petroleum engineering geomechanics …
implementing most mathematical models of petroleum engineering geomechanics …
Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach
Ternary-blend concrete is a complex composite material, and the nonlinearity in its
compressive strength behavior is unquestionable. Entirely many models have been …
compressive strength behavior is unquestionable. Entirely many models have been …
S-wave velocity inversion and prediction using a deep hybrid neural network
J Wang, J Cao, S Zhao, Q Qi - Science China Earth Sciences, 2022 - Springer
The S-wave velocity is a critical petrophysical parameter in reservoir description, prestack
seismic inversion, and geomechanical analysis. However, obtaining the S-wave velocity …
seismic inversion, and geomechanical analysis. However, obtaining the S-wave velocity …
Estimating shear wave velocity in carbonate reservoirs from petrophysical logs using intelligent algorithms
Shear-wave velocity (V s) is a key petrophysical data for a wide spectrum of applications in
the upstream oil industry. In many wells, however, the corresponding log cannot be acquired …
the upstream oil industry. In many wells, however, the corresponding log cannot be acquired …
Estimation of shear wave velocity in an Iranian oil reservoir using machine learning methods
Shear wave velocity is considered as one of the most important rock physical parameters
which can be measured by dipole sonic imager (DSI) tool. This parameter is applied to …
which can be measured by dipole sonic imager (DSI) tool. This parameter is applied to …
A novel approach to pore pressure modeling based on conventional well logs using convolutional neural network
M Matinkia, A Amraeiniya, MM Behboud… - Journal of Petroleum …, 2022 - Elsevier
Accurate prediction of pore pressure (PP) is among the most critical concerns to the design
of drilling operation because of the remarkable role of this parameter in preventing particular …
of drilling operation because of the remarkable role of this parameter in preventing particular …
Improved determination of the S-wave velocity of rocks in dry and saturated conditions: Application of machine-learning algorithms
M Rezaei, SR Ahmadi, H Nguyen… - Transportation …, 2024 - Elsevier
The determination of S-wave velocity (V s) is of significant importance in various engineering
disciplines, including mining, civil, and geotechnical engineering. It is beneficial to indirectly …
disciplines, including mining, civil, and geotechnical engineering. It is beneficial to indirectly …
Data-driven S-wave velocity prediction method via a deep-learning-based deep convolutional gated recurrent unit fusion network
J Wang, J Cao - Geophysics, 2021 - library.seg.org
The S-wave velocity (VS) is a fundamental parameter in geophysical analysis, prestack
seismic inversion, and reservoir prediction. For various reasons, the availability of directly …
seismic inversion, and reservoir prediction. For various reasons, the availability of directly …
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 …