Application of machine learning in wellbore stability prediction: A review

K Xu, Z Liu, Q Chen, Q Zhang, X Ling, X Cai… - Geoenergy Science and …, 2024 - Elsevier
Ensuring wellbore stability is vital for safe drilling and production in the process of oil
exploration and development. The current empirical formula and numerical simulation …

Machine learning technique for the prediction of shear wave velocity using petrophysical logs

M Anemangely, A Ramezanzadeh, H Amiri… - Journal of Petroleum …, 2019 - Elsevier
Compressional wave velocity (Vp) and shear wave velocity (Vs) are widely used as quick,
easy to use, and cost-effective means of determining the mechanical properties of …

Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms

M Rajabi, O Hazbeh, S Davoodi, DA Wood… - Journal of Petroleum …, 2023 - Springer
Shear wave velocity (VS) data from sedimentary rock sequences is a prerequisite for
implementing most mathematical models of petroleum engineering geomechanics …

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 …

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 …

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 …

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 …

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 …

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 …

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 …