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[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) …
Oil logging reservoir recognition based on TCN and SA-BiLSTM deep learning method
W Yang, K **a, S Fan - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Abstract The use of Deep Learning methods to mine useful and critical information from
massive and complex logging datasets is of great importance for oil logging reservoir …
massive and complex logging datasets is of great importance for oil logging reservoir …
Predictive models and feature ranking in reservoir geomechanics: A critical review and research guidelines
MI Miah - Journal of Natural Gas Science and Engineering, 2020 - Elsevier
Comprehensive investigation and accurate models of geo-mechanical properties are crucial
to maintain wellbore stability and optimize the hydraulic fracturing process. This review …
to maintain wellbore stability and optimize the hydraulic fracturing process. This review …
Comparing the performance of machine learning methods in estimating the shear wave transit time in one of the reservoirs in southwest of Iran
Shear wave transit time is a crucial parameter in petroleum engineering and geomechanical
modeling with significant implications for reservoir performance and rock behavior …
modeling with significant implications for reservoir performance and rock behavior …
Image-based velocity estimation of rock using convolutional neural networks
Digital images of rock samples have been using extensively in Digital Rock Physics (DRP)
to evaluate physical parameters of rock such as permeability, P-and S-wave velocities and …
to evaluate physical parameters of rock such as permeability, P-and S-wave velocities and …
Data driven model for sonic well log prediction
Near wellbore failure during the exploration of hydrocarbon reservoirs presents a serious
concern to the oil and gas industry. To predict the probability of these undesirable …
concern to the oil and gas industry. To predict the probability of these undesirable …
Robust estimation of shear wave velocity in a carbonate oil reservoir from conventional well logging data using machine learning algorithms
In recent decades, various applications of shear wave velocity have been reported in oil and
gas projects. These applications include the determination of lithology, estimation of …
gas projects. These applications include the determination of lithology, estimation of …
Shear wave travel time estimation from petrophysical logs using ANFIS-PSO algorithm: A case study from Ab-Teymour Oilfield
M Anemangely, A Ramezanzadeh… - Journal of Natural Gas …, 2017 - Elsevier
Among petrophysical logs, shear wave velocity is known to provide more accurate results in
terms of mechanical rock properties. However, due to higher costs associated with acquiring …
terms of mechanical rock properties. However, due to higher costs associated with acquiring …
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 …
Shear wave velocity prediction based on adaptive particle swarm optimization optimized recurrent neural network
J Wang, J Cao, S Yuan - Journal of Petroleum Science and Engineering, 2020 - Elsevier
Shear wave velocity (Vs) is an important parameter for reservoir description and fluid
identification and is extensively applied in study of oil and gas reservoir geomechanics and …
identification and is extensively applied in study of oil and gas reservoir geomechanics and …