[HTML][HTML] Shear wave velocity prediction: A review of recent progress and future opportunities

JO Olutoki, J Zhao, NA Siddiqui, M Elsaadany… - Energy …, 2024 - Elsevier
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) …

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 …

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 …

Comparing the performance of machine learning methods in estimating the shear wave transit time in one of the reservoirs in southwest of Iran

MR Dehghani, S Jahani, A Ranjbar - Scientific Reports, 2024 - nature.com
Shear wave transit time is a crucial parameter in petroleum engineering and geomechanical
modeling with significant implications for reservoir performance and rock behavior …

Image-based velocity estimation of rock using convolutional neural networks

S Karimpouli, P Tahmasebi - Neural Networks, 2019 - Elsevier
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 …

Data driven model for sonic well log prediction

D Onalo, S Adedigba, F Khan, LA James… - Journal of Petroleum …, 2018 - Elsevier
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 …

Robust estimation of shear wave velocity in a carbonate oil reservoir from conventional well logging data using machine learning algorithms

H Kheirollahi, NS Manaman, A Leisi - Journal of Applied Geophysics, 2023 - Elsevier
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 …

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 …

Estimating shear wave velocity in carbonate reservoirs from petrophysical logs using intelligent algorithms

M Mehrad, A Ramezanzadeh, M Bajolvand… - Journal of Petroleum …, 2022 - Elsevier
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 …

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 …